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Data & Analytics - Search Specialist (Sinequa/Elastic Search/Solr)At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.<h4>The Position</h4>The Search Specialist within the Enterprise Search Platform Team is responsible for maintaining and optimising the platform, powered by Sinequa technology. This role focuses on platform lifecycle and data source indexing to ensure the platform operates efficiently and effectively, and properly supports the use cases. This role requires close collaboration with the Product Owner and Solution Architect to translate business requirements into technical solutions to drive excellence in our search capabilities.Key Responsibilities:<ul><li>Search Implementation:<ul><li>Develop and integrate advanced search functionalities, including indexing, query processing, and relevancy tuning.</li><li>Work on design, implementation, and optimization of Sinequa search solutions.</li><li>Configure, customize, and maintain Sinequa's search platform to meet organizational requirements.</li><li>Implement data ingestion procedures leveraging Sinequa connectors and APIs.</li></ul></li><li>Development of Search-Based Applications:<ul><li>Design, develop, and deploy search-based applications that leverage the Sinequa platform.</li><li>Integrate search functionalities into existing and new applications to enhance user experience and information retrieval.</li><li>Collaborate with UI/UX designers to create engaging and efficient search interfaces.</li><li>Implement security best practices to protect sensitive data within search-based applications.</li><li>Test, debug, and document search-based applications to ensure high-quality deliverables.</li></ul></li><li>Optimization and Performance:<ul><li>Monitor and optimize search performance, ensuring low latency and high accuracy of search results.</li><li>Troubleshoot and resolve issues related to search indexing, relevance, and data retrieval.</li><li>Conduct regular performance analyses and make necessary adjustments to enhance search efficiency.</li></ul></li><li>Collaboration and Communication:<ul><li>Work closely with Product Owners, Solution Architects, and development teams to translate business needs into technical solutions.</li><li>Collaborate with data and content experts to ensure data quality and search index integrity.</li><li>Provide clear and effective communication on search-related topics to both technical and non-technical stakeholders.</li></ul></li><li>User Experience Enhancement:<ul><li>Design and implement user-friendly search interfaces and experiences.</li><li>Gather and analyze user feedback to continually improve search functionalities.</li><li>Ensure the search platform provides intuitive and relevant results to end-users.</li></ul></li><li>Data Management:<ul><li>Oversee data taxonomy, metadata, and tagging processes to ensure consistency and accuracy in search results.</li><li>Implement best practices for data governance and quality management in the context of search.</li></ul></li><li>Innovation and Continuous Improvement:<ul><li>Keep up-to-date with the latest trends and best practices in search technologies and apply this knowledge to improve the Sinequa platform.</li><li>Identify opportunities for leveraging new features and functionalities within the Sinequa platform to enhance organizational search capabilities.</li></ul></li></ul>Qualifications:<ul><li>Solid understanding of search algorithms, information retrieval, and relevancy tuning.</li><li>Programming/scripting skills. Familiarity with Java, Angular, Python, .NET or similar.</li><li>Experience with the Sinequa platform OR similar search solutions (Elasticsearch, Solr, etc.)</li><li>Strong analytical and problem-solving skills.</li><li>Experience with data integration tools and techniques.</li><li>Excellent communication and collaboration skills, with the ability to work effectively in a team environment.</li></ul><ul><li>Background in natural language processing (NLP) or machine learning as applied to search is a plus.</li><li>Familiarity with cloud platforms and services, particularly AWS is a plus.</li><li>Knowledge of data governance and data quality best practices is a plus.</li></ul><h4>Who we are</h4>A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together.Roche is an Equal Opportunity Employer.<h4>Experience Level</h4>Senior Level

Roche Diagnostics India Pvt Ltd

Recruitment Specialist

WoW - Data Analyst, AVPJoin us as a Data Analyst<ul><li>Take on a new challenge in a cutting-edge team, in which you’ll contribute to the analysis of complex bank, franchise or function data to identify business issues and opportunities</li><li>We’ll look to you to provide high quality analytical input to help develop and implement innovative processes and problem resolution across the bank</li><li>This is a hands-on role in which you'll hone your data analysis expertise and gain valuable experience in a dynamic area of our business</li><li>We're offering this role at associate vice president level</li></ul><h4>What you'll do</h4>As a Data Analyst, you'll play a key role in supporting the delivery of high quality business solutions. You’ll be performing data extraction, storage, manipulation, processing and analysis, alongside developing and performing standard queries to ensure data quality and identify data inconsistencies and missing data.Day-to-day, you’ll also be:<ul><li>Executing and maintain data controls across Financial Crime to ensure data integrity</li><li>Analyse datasets to identify trends, patterns, and anomalies that inform business decisions</li><li>Provide actionable insights to address business challenges</li><li>Develop and implement reports to visualize key performance indicators and track business performance</li><li>Present findings and insights to stakeholders, providing recommendations for improvements</li><li>Defining remediation plans to improve the data quality</li><li>Identify controls requirements with actionable insights to improve</li><li>Building and maintaining collaborative partnerships with key business stakeholders</li><li>Designing and publishing periodic reports to track key performance metrics and support data driven decision making</li><li>The skills you'll needWe’re looking for someone with experience of using data analysis tools and delivering data analysis with 10+ years of experience.</li><li>We’ll also look for:</li><li>An in-depth understanding of the interrelationships of data and multiple data domains</li><li>A background in delivering research based on qualitative and quantitative data across a range of subjects</li><li>Excellent communication and interpersonal skills</li><li>Background in Financial Crime initiatives, data management and a control environment</li><li>Background in Support environment and working within Agile Frameworks</li><li>Interpreting customer needs and turning them into functional or data requirements and process models</li><li>Good knowledge and experience in using SQL for data analysis and reporting</li><li>Proficiency in Microsoft Excel including formulas, charts, pivots for effective MI reporting</li><li>Building and maintaining collaborative partnerships with key business stakeholdersThis is a hybrid role, working in India Hours and teh location is specific to Bangalore</li><li>You’ll also demonstrate:</li><li>Strong analytic and problem solving abilities</li><li>A keen eye for detail in your work</li></ul>Hours45Job Posting Closing Date:09/10/2025<h4>Experience Level</h4>Executive Level

NatWest Group

Data Analyst

IN_Senior Associate_Data Scientist _D&A_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:· Solution Development: Design and implement AI &amp; Gen AI powered solutions using LLMs (eg. Open AI, Claude, Gemini, Llama3). Fine-tune AI/generative AI models using Python and machine learning libraries. Leverage Agentic AI frameworks such as CrewAI, AutoGen, and orchestrate interactions across vector DBs, RAG pipelines &amp; APIs. Should have experience in developing different ML models for Regression / Classification, Clustering, and Time Series forecasting models as well. · · Data Processing: Manage and preprocess large datasets for training AI/ML models, ensuring clean, efficient data pipelines for optimal performance. · · Model Evaluation: Evaluate and iterate on model performance, applying techniques to improve accuracy, robustness, and efficiency. · · Collaboration: Work closely with other developers, data scientists, and product managers to define AI requirements, integrate models into products, and ensure the AI system meets business needs. · · Optimization: Optimize model performance for production environments, focusing on scalability and computational efficiency. · · Thought leadership: Stay updated with the latest trends in generative AI, contributing innovative ideas and applying cutting-edge research to development efforts. · Required skills &amp; experience: · · Experience: 5+ years of professional experience with a focus on machine learning, deep learning, and 2+ years in generative AI applications. · · Python Expertise: Advanced proficiency in Python, with solid experience using machine learning and deep learning libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn, Pandas. · · Generative AI experience: Hands-on experience with tools/platforms like Open AI, LangChain, Hugging Face, Vertex AI, AWS Bedrock etc. and frameworks such as LangGraph, CrewAI, Autogen. · · Data Handling: Experience working with large datasets, including preprocessing, cleaning, and augmenting data for AI model training. · · Model Deployment: Knowledge of deploying machine learning models into production environments, including familiarity with cloud services (AWS, GCP, Azure) and containerization tools (e.g., Docker). · · ML Algorithms &amp; Statistics: Strong understanding of machine learning algorithms, statistics, and optimization techniques used in AI. · · Version Control: Proficiency in using version control systems such as Git for managing codebase and collaboration. · · Problem Solving: Strong analytical skills with the ability to tackle complex problems and devise efficient solutions in a fast-paced environment. · · Communication: Ability to clearly communicate technical concepts to both technical and non-technical stakeholders. · · Project experience in Python, PySpark, SQL · · Familiarity with model interpretability and debugging tools. · · Familiarity with reinforcement learning and its applications to generative models. · · Experience working in Agile/Scrum environments. · · Experience with data visualisation tools, such as D3.js, GGplot, etc. Experience in other Visualization tools like Power BI, Tableau, Qlikview shall be added advantage. · .Mandatory skill sets:Senior Data Scientist / Senior Gen AI DeveloperPreferred skill sets:Senior Data Scientist / Senior Gen AI DeveloperYears of experience required:4-10Education qualification:B tech/MBA/MCA/MSCEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Master of Business Administration, Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData ScienceOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Senior Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Data Scientist

IN-Manager_Azure Data Engineer_Data Analytics_Advisory_BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelManagerJob Description &amp; SummaryAt PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Responsibilities:Must have: •Candidates with minimum 4 years of relevant experience for 9-15 years of total experience (Architect / Managerial level). •Deep expertise with technologies such as Data factory, Data Bricks (Advanced), SQLDB (writing complex Stored Procedures), Synapse, Python scripting (mandatory), Pyspark scripting, Azure Analysis Services. •Must be certified with DP 203 (Azure Data Engineer Associate), Databricks Certified Data Engineer Professional (Architect / Managerial level) •Strong troubleshooting and debugging skills. •Proven experience in working source control technologies (such as GITHUB, Azure DevOps), build and release pipelines. •Experience in writing complex PySpark queries to perform data analysis. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations." Mandatory skill sets: · Azure Databricks, Pyspark, Datafactory Preferred skill sets: · Azure Databricks, Pyspark, Datafactory, Python, Azure DevopsPreferred skill sets:· Azure Databricks, Pyspark, Datafactory, Python, Azure DevopsYears of experience required:9-15yrsEducation qualification:B.Tech / M.Tech / M.E / MCA/B.EEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Master of Business Administration, Master of Engineering, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsSAP HANAOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 43 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Mid Level

SAP MM Consultant

IN_Senior Associate_Azure Data engineer _D&A_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:· 4–7 years of experience in Data Engineering or related roles.  · Hands-on experience in Microsoft Fabric  · Hands-on experience in Azure Databricks  · Proficiency in PySpark for data processing and scripting.  · Strong command over Python &amp; SQL – writing complex queries, performance tuning, etc.  · Experience working with Azure Data Lake Storage and Data Warehouse concepts (e.g., dimensional modeling, star/snowflake schemas).  · Hands on experience in performance tuning &amp; optimization on Databricks &amp; MS Fabric.  · Ensure alignment with overall system architecture and data flow.  · Understanding CI/CD practices in a data engineering context.  · Excellent problem-solving and communication skills.  · Exposure to BI tools like Power BI, Tableau, or Looker.Mandatory skill sets:Azure DE .Preferred skill sets:Azure DE .Years of experience required:4-10Education qualification:B tech/MBA/MCA/MSCEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData ScienceOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Senior Level

Senior Associate Data ScientistMake an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.Your day at NTT DATA The Senior Associate Data Scientist is a developing subject matter expert, tasked with supporting the adoption of data science and analytics within the organization. The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques.Key responsibilities:<ul><li>Proactively supports the design, development, and programing methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.</li><li>Receives instructions to research, design, implement and deploy scalable data analytics vision and machine learning solutions to challenge business issues.</li><li>Contributes to the design and enhancement of data collection procedures to include information that is relevant for building analytic systems.</li><li>Ensures that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers.</li><li>Contributes to the designing and coding of software programs, algorithms, and automated processes to cleanse, integrates and evaluates large datasets from multiple disparate sources.</li><li>Takes direction from management/leadership to provide meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.</li><li>Supports the design of scalable and highly available applications leveraging the latest tools and technologies.</li><li>Participates in creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business.</li><li>Receives instructions to create SQL queries for the analysis of data and visualize the output of the models.</li><li>Contributes to ensuring that industry standards best practices are applied to development activities.</li></ul>To thrive in this role, you need to have:<ul><li>Developing in data modelling, statistical methods and machine learning techniques.</li><li>Ability to thrive in a dynamic, fast-paced environment.</li><li>Quantitative and qualitative analysis skills.</li><li>Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.</li><li>Curiosity to sift through data to find answers and more insights.</li><li>Developing understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.</li><li>Ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.</li><li>Developing ability to create a storyline around the data to make it easy to interpret and understand.</li><li>Self-driven and able to work independently yet acts as a team player.</li><li>Developing ability to apply data science principles through a business lens.</li></ul>Academic qualifications and certifications:<ul><li>Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.</li><li>Relevant programming certification preferred.</li><li>Agile certification preferred.</li></ul>Required experience:<ul><li>Moderate level experience in a data science position in a corporate environment and/or related industry.</li><li>Moderate level experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing.</li><li>Familiarity with programming languages (R, Python, etc.).</li><li>Moderate level experience working with and creating data architectures.</li><li>Moderate level experience with extracting, cleaning, and transforming data and working with data owners to understand the data.</li><li>Familiarity with visualizing and/or presenting data for stakeholder use and reuse across the business.</li></ul>Workplace type: About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.Third parties fraudulently posing as NTT DATA recruiters NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please <a href="mailto:global.careers@nttdata.com" rel="noopener noreferrer" target="_blank">contact us</a>.<h4>Experience Level</h4>Mid Level

NTT DATA Global Delivery Services Ltd

Senior Associate Data Analytics<h4>Career Category</h4>Finance<h4>Job Description</h4><h4>Role Name: Sr Associate – Data Analytics</h4>Department: TBD Role GCF: 4 Hiring Manager: TBD<h4>Role Description</h4>This role will play a key part in supporting Amgen’s Tech &amp; Workforce Strategy by designing and building robust, scalable data pipelines that enable advanced analytics and insights.We are seeking an expert-level data engineer who is eager to gain exposure to the business/FP&amp;A side of Biotech. You bring the data engineering mastery—we’ll teach you the business context. This is a rare opportunity to grow your career at the intersection of cutting-edge engineering and strategic business decision-making.Please be aware that Amgen’s Tech &amp; Workforce Strategy is a key strategic initiative to ensure Amgen’s future success.  It’s a very fast-moving, start-up environment and we need staff that are adaptable to rapidly evolving work priorities and a willingness to be flexible with work hours to get the job done.<h4>Objectives of this Role</h4><ul><li>Develop, optimize, and maintain scalable data pipelines using Prophecy and Databricks. </li><li>Design and implement robust data models and frameworks to support enterprise-wide analytics. </li><li>Partner closely with business stakeholders to understand requirements and translate them into technical solutions. </li><li>Ensure data quality, consistency, and reliability across critical datasets. </li><li>Continuously improve data engineering practices to enhance performance, scalability, and maintainability.</li></ul><h4>Basic Qualifications</h4><ul><li>Master’s degree and 2 years of relevant experience OR </li><li>Bachelor’s degree and 1 year of relevant experience OR </li><li>Associate’s degree and 4 years of relevant experience OR </li><li>High school diploma/GED and 8 years of relevant experience</li></ul>(Experience should be in data engineering, software engineering, or related fields.)<h4>Preferred Qualifications</h4><ul><li>4+ years of experience in data engineering, with a strong focus on pipeline design and optimization. </li><li>Expert-level proficiency in Python and SQL, with hands-on Databricks experience. </li><li>Experience building production-grade ETL/ELT pipelines with large, complex datasets. </li><li>Familiarity with data orchestration tools such as Airflow, Prophecy, or equivalent. </li><li>Strong understanding of data modeling, governance, and performance optimization techniques. </li><li>Exposure to business intelligence tools (e.g., Tableau, Power BI) is a plus, but not required. </li><li>Prior experience in biopharma, biotech, or other data-intensive industries preferred but not required.</li></ul><h4>What You Can Expect from Us</h4>As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.In addition to the base salary, Amgen offers a Total Rewards Plan comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including:<ul><li>A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental &amp; vision coverage, and life &amp; disability insurance. </li><li>A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan. </li><li>Stock-based long-term incentives. </li><li>Award-winning time-off plans and an annual site shutdown. </li><li>Flexible work models, including remote work arrangements, where possible.</li></ul><h4>Equal Opportunities for Everyone</h4>Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation..<h4>Experience Level</h4>Mid Level

Amgen Technology Private Limited

R/R Shiny Developer EY is looking for passionate developers skilled in R and R Shiny to join our team for an exciting project. Role: R/R Shiny DeveloperExperience: 4–6 yearsNotice Period: Up to 60 days maximum Key Skills:<ul><li> Strong hands-on experience with R and R Shiny. </li><li> Experience building and deploying interactive dashboards using R Shiny</li><li> Familiar with SQL, Git, and API integrations</li></ul> If this sounds like you and you can join within 60 days, send your resume with the following details:- Current CTC: - Expected CTC:- Notice Period:- Current Location:- Preferred Location:

Ernst & Young LLP ( EY India )

Associate Application Developer

Process Manager Survey Scripting - Dimensions<h4>Job Description</h4>Purpose of the Role<ul><li>Script high complexity projects using survey tool Dimension. Responsible for programming data collection questionnaires according to specifications and deadlines provided</li><li>Acts as a technical advisor in Dimension for team in other countries. Also discuss and provide solution to CS on project requirements. </li><li>Engages in internal initiatives and client discussions to enhance collaboration and delivery.</li><li>Supports quality assurance and continuous improvement of scripting practices.</li><li>Facilitates the project migration process to preferred internal platforms.</li><li>Provide training sessions with other scripters on Dimension and identifies and impliment best practices.</li></ul>Skills and knowledge required<ul><li>Possesses advanced expertise in Unicom Dimensions (IOM, DMS, MRS).</li><li>Familiarity with additional scripting platforms such as SurveyToGo, Decipher is advantageous.</li><li>Demonstrates proficiency in survey scripting and related programming languages, including HTML, CSS, SQL, JavaScript, and the Angular JS Framework.</li><li>Maintains a high standard of quality and meticulous attention to detail.</li><li>Proficient in Microsoft Office applications.</li><li>Understands principles of Project Management and Quality Management.</li><li>Experienced in stakeholder management.</li><li>Demonstrates a continuous improvement mindset.</li><li>Results-driven with a strong commitment to achieving objectives.</li><li>Builds and maintains effective working relationships with colleagues and stakeholders across various teams and locations.</li><li>English language proficiency at B2 level, both written and spoken.</li><li>Exhibits strong written and verbal communication skills.</li><li>Collaborative team member who is also capable of working independently.</li><li>Displays proactiveness and a solution-oriented approach.</li><li>Effectively prioritizes tasks to ensure optimal time management.</li><li>Has an excellent understanding of the end-to-end value chain.</li></ul><h4>Additional Information</h4>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul>About NIQNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: <a href="https://www.linkedin.com/company/nielseniq/mycompany/">LinkedIn</a> | <a href="https://www.instagram.com/nielseniq/">Instagram</a> | <a href="https://twitter.com/nielseniq">Twitter</a> | <a href="https://www.facebook.com/NielsenIQ.global/">Facebook</a>Our commitment to Diversity, Equity, and InclusionAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&amp;data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&amp;reserved=0">https://nielseniq.com/global/en/news-center/diversity-inclusion</a><h4>Experience Level</h4>Mid Level

NielsenIQ

Survey Executive

Payments - Analytics & Reporting- Data Scientist AssociateDescription The JPMorgan Chase SMB Payments Analytics team is dedicated to cultivating a data-driven culture and empowering fact-based decision-making. Our Business Analytics division champions this mission by delivering data and fostering the integration of analytics insights. We are seeking a Data Associate to elevate our analytics capabilities.Job Summary: As a Data Associate within the Analytics Team, you will play a pivotal role in identifying key metrics and conducting comprehensive analyses to inform business strategies. You will work collaboratively with cross-functional teams, including Product, Sales, Marketing, Account Management, and Risk, to promote product upselling and cross-selling, enhancing both partner and merchant experiences. The ideal candidate will possess the ability to frame business challenges, design suitable analyses, and demonstrate fluency in SQL, Python, and other big data methodologies. You should excel at deriving insights and crafting narratives to support strategic initiatives.Job Responsibilities:<ul><li>Partner with various departments to develop insights and analytic solutions tailored to client needs.</li><li>Perform in-depth analyses and construct statistical models to uncover trends and key drivers influencing product, sales, risk, and operational decisions.</li><li>Design and enhance data visualizations using existing tools or by developing new ones, while improving business dashboards.</li><li>Implement processes and develop tools to enhance data access, extraction, and analysis efficiency.</li><li>Cultivate and maintain relationships with internal teams to proactively identify and address business needs through analytics.</li></ul>Required qualifications, capabilities and skills:<ul><li>4+ years of experience in quantitative data analysis </li><li>B.S. or M.S. in a quantitative discipline, such as Statistics, Applied Mathematics, Engineering, or Computer Science, from a prestigious institution.</li><li>Proficiency in SQL and experience with statistical software or programming languages such as R or Python.</li><li>Experience with data visualization and BI tools like Looker or Tableau.</li><li>Exceptional attention to detail and organizational skills.</li><li>Ability to tackle ambiguously defined problems, devise creative solutions, and meet tight deadlines.</li><li>Excellent communication and presentation skills, with the ability to translate data into actionable insights.</li><li>A collaborative team player who thrives in working with teams across the company to achieve shared objectives.</li></ul>Preferred qualifications, capabilities and skills:<ul><li>Data analysis preferably within the online payments industry.</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Mid Level

JP Morgan Services India Pvt Ltd

Analytics and Reporting Project ManagerAre you ready to drive innovation in data analytics? Join our team at J.P. Morgan, where your analytical skills and passion for data will make a significant impact. We offer unparalleled opportunities for career growth and a collaborative environment that fosters skill development. Be part of a team that values your insights and empowers you to shape the future of our organization.Job Summary: As an Analytics and Reporting Project Manager within our team, you will lead the development and implementation of data-driven reporting solutions. You will manage project timelines, coordinate cross-functional teams, and ensure the delivery of high-quality insights to support strategic decision-making. Your role is crucial in enhancing our processes, driving efficiency, and fostering innovation within the organization. You will work closely with stakeholders to understand team culture and contribute to meaningful projects.Job Responsibilities:<ul><li>Lead the development and maintenance of comprehensive management information systems.</li><li>Generate regular reports to track key performance indicators and business metrics.</li><li>Conduct in-depth data analysis to identify trends and insights.</li><li>Collaborate with cross-functional teams for strategic planning.</li><li>Enhance existing processes and implement best practices.</li><li>Manage projects from inception to completion, ensuring timely delivery.</li><li>Focus on client and relationship management.</li><li>Mentor and develop junior staff.</li><li>Engage stakeholders to gather necessary inputs and responses.</li><li>Clearly articulate progress to expected recipients.</li><li>Take responsibility for the timely and accurate delivery of tasks.</li></ul>Required Qualifications, Capabilities, and Skills:<ul><li>Expertise in analytics and reporting.</li><li>Proficiency in project and process management.</li><li>Experience with Jira and Confluence.</li><li>Proficient in Microsoft Excel and PowerPoint.</li><li>Ability to operate effectively in fast-paced environments.</li><li>Detail-oriented with disciplined adherence to process and quality controls.</li><li>Consistently produces high-standard outputs with minimal oversight.</li></ul>Preferred Qualifications, Capabilities, and Skills:<ul><li>Experience with EMEA Government Bonds at a large bank.</li><li>Proven experience interacting with major institutional Emerging investors.</li><li>Experience with government bond obligations in the region.</li><li>Exceptional teamwork skills, fostering a collaborative environment.</li><li>Strong partnership and communication skills.</li></ul> #ICBCareer JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Mid Level

Project Manager

Senior Data Scientist<h4>Company Description</h4>LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.<h4>Job Description</h4>At LinkedIn, our approach to flexible work is centered on trust and optimised for culture, connection, clarity and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.LinkedIn member data is amazingly rich and provides a fantastic opportunity for Data Scientists to explore and create, ultimately developing ways for members to improve their professional lives. You will have the opportunity to work with some of the best data people anywhere in an environment that truly values data-driven decisions.Data Scientists on our team partner with product managers, engineers, and others to form a cross-functional team driving LinkedIn membership growth and engagement. We are looking for strong, enthusiastic data scientists to join our team in Bangalore, India focusing on International Products that create values for LinkedIn's global member base in over 200 countries.About the team:Join the LSS-Data Science team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-Data Science team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value.You will have the opportunity to work with and lead highly experienced and passionate data scientists, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.Responsibilities:We inform product strategy, influence the product roadmap, and guide product decisions by:<ul><li>Accessing and analyzing the world's richest professional data to generate insights and make proactive recommendations.</li><li>Formulating success metrics for completely novel products and creating dashboards/reports to monitor them.</li><li>Designing and analyzing experiments to test new product ideas.</li><li>Developing models and data-driven solutions that add material lift to principal performance metrics.</li></ul><h4>Qualifications</h4>Basic Qualifications<ul><li>BS/MS in a quantitative discipline: Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics, etc.</li><li>5+ years of experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package.</li><li>5+ years of experience in a Unix/Linux environment for automating processes with shell scripting.</li></ul>Preferred Qualifications<ul><li>Experience with Consumer Internet products.</li><li>Experience programming in Python, Java, or another programming language - Pig experience desired but not required.</li><li>Ability to translate business objectives into actionable analyses.</li><li>Ablility to communicate findings clearly to both technical and non-technical audiences</li><li>Knowledge in one of the following areas is a strong plus: Viral Growth mechanisms, user acquisition in</li><li>International markets, Search Engine Optimization (SEO)</li><li>Expertise in applied statistics, understanding of controlled experiments.</li><li>Cross-cultural background and experience</li></ul>Suggested Skills<ul><li>Sql</li><li>Data visualization</li><li>Hive</li></ul><h4>Additional Information</h4>India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdfGlobal Data Privacy Notice for Job Candidates ​Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.<h4>Experience Level</h4>Senior Level

Linkedin Technology Information Pvt Ltd

Process Manager Survey Scripting -<h4>Job Description</h4>Purpose of the Role<ul><li>Script high complexity projects using survey tool Dimension. Responsible for programming data collection questionnaires according to specifications and deadlines provided</li><li>Acts as a technical advisor in Dimension for team in other countries. Also discuss and provide solution to CS on project requirements. </li><li>Engages in internal initiatives and client discussions to enhance collaboration and delivery.</li><li>Supports quality assurance and continuous improvement of scripting practices.</li><li>Facilitates the project migration process to preferred internal platforms.</li><li>Provide training sessions with other scripters on Dimension and identifies and impliment best practices.</li></ul>Skills and knowledge required<ul><li>Possesses advanced expertise in Unicom Dimensions (IOM, DMS, MRS).</li><li>Familiarity with additional scripting platforms such as SurveyToGo, Decipher is advantageous.</li><li>Demonstrates proficiency in survey scripting and related programming languages, including HTML, CSS, SQL, JavaScript, and the Angular JS Framework.</li><li>Maintains a high standard of quality and meticulous attention to detail.</li><li>Proficient in Microsoft Office applications.</li><li>Understands principles of Project Management and Quality Management.</li><li>Experienced in stakeholder management.</li><li>Demonstrates a continuous improvement mindset.</li><li>Results-driven with a strong commitment to achieving objectives.</li><li>Builds and maintains effective working relationships with colleagues and stakeholders across various teams and locations.</li><li>English language proficiency at B2 level, both written and spoken.</li><li>Exhibits strong written and verbal communication skills.</li><li>Collaborative team member who is also capable of working independently.</li><li>Displays proactiveness and a solution-oriented approach.</li><li>Effectively prioritizes tasks to ensure optimal time management.</li><li>Has an excellent understanding of the end-to-end value chain.</li></ul><h4>Additional Information</h4>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul>About NIQNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: <a href="https://www.linkedin.com/company/nielseniq/mycompany/">LinkedIn</a> | <a href="https://www.instagram.com/nielseniq/">Instagram</a> | <a href="https://twitter.com/nielseniq">Twitter</a> | <a href="https://www.facebook.com/NielsenIQ.global/">Facebook</a>Our commitment to Diversity, Equity, and InclusionAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&amp;data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&amp;reserved=0">https://nielseniq.com/global/en/news-center/diversity-inclusion</a><h4>Experience Level</h4>Mid Level

Senior Specialist Data IntegrationJob Description SummarySr. Specialist for project delivery and/or operations in the given business sub -capability. -Partner with Business Stakeholders and DDIT Strategic Business Partners for demand analysis, solution proposal/evaluation and project delivery -Drive operations of systems and applications in scope (both Global and Local), ensuring their stability and integrity and meeting customer service levels. Job DescriptionKey Responsibilities:<ul><li>Design, develop, and maintain ETL workflows and data integration solutions using tools like Informatica or equivalent.</li><li>Write and optimize R and Python scripts for data transformation, cleansing, and automation.</li><li>Work with Oracle and SQL Server databases to extract, transform, and load data efficiently.</li><li>Collaborate with cross-functional teams to gather requirements and deliver data solutions aligned with business needs.</li><li>Ensure data quality, integrity, and consistency across systems.</li><li>Participate in all phases of the SDLC, including requirements gathering, design, development, testing, deployment, and support.</li><li>Apply Agile and Waterfall methodologies to manage and execute projects effectively.</li><li>Document processes, workflows, and technical specifications.</li></ul> Role Requirements<ul><li>Bachelor’s degree in Computer Science, Computer Engineering or related technical discipline or equivalent experience demonstrated experience</li><li>10+ years of experience in ETL and data integration roles.</li><li>Proficiency in R scripting and Python scripting.</li><li>Strong knowledge of Oracle and SQL Server databases.</li><li>Hands-on experience with ETL tools such as Informatica, Talend, or similar.</li><li>Solid understanding of SDLC principles and software engineering best practices.</li><li>Exposure to Agile methodologies and traditional Waterfall project execution.</li><li>Excellent problem-solving and communication skills.</li></ul>Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: <a href="https://www.novartis.com/about/strategy/people-and-culture" rel="noopener noreferrer" target="_blank">https://www.novartis.com/about/strategy/people-and-culture</a> You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. <a href="https://www.novartis.com/careers/benefits-rewards" rel="noopener noreferrer" target="_blank">https://www.novartis.com/careers/benefits-rewards</a> Commitment to Diversity and Inclusion:  Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Accessibility and accommodation  Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here:  <a href="https://talentnetwork.novartis.com/network" rel="noopener noreferrer" target="_blank">https://talentnetwork.novartis.com/network</a>Job DescriptionIn this role you will create the detailed Data Digital &amp; IT (DDIT) solution/service design, based on functional specifications to meet quality and performance requirements and technical constraints. You will be responsible for detailed design, development, code review and delivery of system solutions Skills DesiredBudget Management, Business Acumen, Performance Management, Planning, Risk Management, Service Delivery Management, Stakeholder Management, Waterfall Model<h4>Experience Level</h4>Senior Level

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