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Senior Data Scientist, Product, Google Play<h4>Minimum qualifications:</h4><ul><li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li><li>8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with an advanced degree.</li></ul> <h4>Preferred qualifications:</h4><ul><li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li></ul><h4>About the job</h4>Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.<h4>Responsibilities</h4><ul><li>Guide and inform product development through the application of data science methods.</li><li>Work with Software Engineer and Product Manager (PM) on foundational data capture and processing.</li><li>Investigate to decide on design and functionality choices.</li><li>Evaluate and monitor previous changes, to identify areas for improvement and inform further product direction.</li><li>Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrow down multiple options into the approach, and take ownership of open-ended business problems to reach a solution.</li></ul><h4>Experience Level</h4>Senior Level

Google India Pvt Ltd

Data Scientist

Software Engineer, Data ScienceJoin us as a Software Engineer<ul><li>This is an opportunity for a driven Software Engineer to take on an exciting new career challenge</li><li>Day-to-day, you'll build a wide network of stakeholders of varying levels of seniority</li><li>It’s a chance to hone your existing technical skills and advance your career</li><li>We’re offering this role at associate vice president level</li></ul><h4>What you'll do</h4>In your new role, you’ll engineer and maintain innovative, customer centric, high performance, secure and robust data science solutions. You’ll be working within a feature team and using your extensive experience to engineer software, scripts and tools that are often complex, as well as liaising with other engineers, architects and business analysts across the platform.You’ll be proactively bringing together statistical, mathematical, machine learning and software engineering skills to consider multiple solutions, techniques, and algorithms.In addition, you’ll be:<ul><li>Working with stakeholders to understand their complex requirements and needs of the business, form hypotheses and identify suitable statistical models to meet those needs</li><li>Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning</li><li>Collaborating to optimise our software engineering capability</li><li>Selecting, building, training, and testing complex machine models, considering model valuation, model risk, governance, and ethics throughout to implement and scale models</li><li>Designing, producing, testing and implementing our working code</li><li>Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations</li></ul><h4>The skills you'll need</h4>You’ll need at least eight years of experience in statistical modelling, software engineering, software design, architecture, and an understanding of how your area of expertise supports our customers.You’ll also need:<ul><li>Experience of using statistical software, database languages and big data technologies</li><li>Experience in Python, building machine learning and statistical models</li><li>Understanding to statistical techniques like linear regression, logistic regression, random forest, time series and K Means</li><li>Experience in Azure Cloud technology</li><li>Experience of turning business requirements into a statistical modelling solution</li></ul>Hours45Job Posting Closing Date:02/10/2025<h4>Experience Level</h4>Mid Level

NatWest Group

Software Engineer 1

Senior Data Engineer I<h4>About the Opportunity</h4>Job Type: PermanentApplication Deadline: 15 October 2025Title 		Senior Data Engineer I
Department	ISS
Location 	Bengaluru
Reports To 	Data Engineers – Lead
Level		5

We share a commitment to making things better for clients and each other. We continually explore new technology and different ways of working to put our clients first. So, bring your boldest ideas to our (name of team/business area) team and feel like you are making progress. 

About your team
ISS Data Engineering Chapter is an engineering group comprised of three sub-chapters - Data Engineers, Data Platform and Data Visualisation – that supports the ISS Department. 
 
Fidelity is embarking on several strategic programmes of work that will create a data platform to support the next evolutionary stage of our Investment Process. These programmes span across asset classes and include Portfolio and Risk Management, Fundamental and Quantitative Research and Trading. 

About your role 
This role sits within the ISS Data Engineering. The Data Engineering team is responsible for building and maintaining the data applications and platform that enables the ISS business to operate. 
 
This role is appropriate for a senior data engineer capable of taking ownership and a delivering a subsection of the wider data platform or data applications. 

As a Senior Data Engineer, you will directly contribute to our key organizational objectives of Accelerated Innovation, Cost Optimization, Risk Mitigation, and Business Enablement

Key Responsibilities
•	Implement and maintain data pipelines for ingestion, transformation, and delivery
•	Ensure data quality through validation and monitoring processes
•	Collaborate with senior engineers to design scalable data solutions
•	Work with business analysts to understand and implement data requirements
•	Optimize data models and queries for performance and efficiency
•	Follow engineering best practices and contribute to team standards
•	Participate in code reviews and knowledge sharing activities
•	Implement data security controls and access policies
•	Troubleshoot and resolve data pipeline issues

About you
Core Technical Skills
•	Cloud Platforms: Proficient with cloud-based data platforms (Snowflake, data lakehouse architecture)
•	AWS Ecosystem: Strong knowledge of AWS services including Lambda, Glue, and S3
•	Streaming Architecture: Understanding of event-based or streaming data concepts using Kafka
•	Programming: Strong proficiency in Python and SQL
•	DevOps: Experience with CI/CD pipelines and infrastructure as code (Terraform)
•	Data Security: Knowledge of implementing basic data access controls
•	Database Systems: Experience with RDBMS (Oracle, Postgres, MSSQL) and exposure to NoSQL databases
•	Data Integration: Understanding of data integration patterns and techniques
•	Orchestration: Experience using workflow tools (Airflow, Control-M, etc.)
•	Engineering Practices: Experience with GitHub, code verification, and validation
•	Domain Knowledge: Basic knowledge of investment management industry concepts

Bonus technical Skills:
•	Understanding of containerization concepts
•	Exposure to API development using Python-based frameworks
•	Basic familiarity with Asset Management data domains

Key Soft Skills:
•	Problem-Solving: Strong analytical skills and ability to troubleshoot technical issues
•	Communication: Effective communication with team members and stakeholders
•	Collaboration: Ability to work effectively in cross-functional teams


Feel rewarded
For starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.<h4>Experience Level</h4>Senior Level

Fidelity International

Data Engineer

Principal Data Engineer (Associate Director)<h4>About the Opportunity</h4>Job Type: PermanentApplication Deadline: 28 November 2025Job DescriptionTitle: Principal Data Engineer (Associate Director)Department: ISS  Location: BangaloreReports To: Head of Data Platform - ISS Grade : 7We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our team and feel like you’re part of something bigger.Department Description ISS Data Engineering Chapter is an engineering group comprised of three sub-chapters - Data Engineers, Data Platform and Data Visualisation – that supports the ISS Department.Fidelity is embarking on several strategic programmes of work that will create a data platform to support the next evolutionary stage of our Investment Process.  These programmes span across asset classes and include Portfolio and Risk Management, Fundamental and Quantitative Research and Trading.     Purpose of your role This role sits within the ISS Data Platform Team.  The Data Platform team is responsible for building and maintaining the platform that enables the ISS business to operate.This role is appropriate for a Lead Data Engineer capable of taking ownership and a delivering a subsection of the wider data platform.Key Responsibilities   Design, develop and maintain scalable data pipelines and architectures to support data ingestion, integration and analytics. Be accountable for technical delivery and take ownership of solutions. Lead a team of senior and junior developers providing mentorship and guidance. Collaborate with enterprise architects, business analysts and stakeholders to understand data requirements, validate designs and communicate progress. Drive technical innovation within the department to increase code reusability, code quality and developer productivity. Challenge the status quo by bringing the very latest data engineering practices and techniques. Essential Skills and ExperienceCore Technical SkillsExpert in leveraging cloud-based data platform (Snowflake, Databricks) capabilities to create an enterprise lake house. Advanced expertise with AWS ecosystem and experience in using a variety of core AWS data services like Lambda, EMR, MSK, Glue, S3. Experience designing event-based or streaming data architectures using Kafka. Advanced expertise in Python and SQL. Open to expertise in Java/Scala but require enterprise experience of Python. Expert in designing, building and using CI/CD pipelines to deploy infrastructure (Terraform) and pipelines with test automation. Data Security &amp; Performance Optimization:  Experience implementing data access controls to meet regulatory requirements. Experience using both RDBMS (Oracle, Postgres, MSSQL) and NOSQL (Dynamo, OpenSearch, Redis) offerings. Experience implementing CDC ingestion. Experience using orchestration tools (Airflow, Control-M, etc..) Bonus technical Skills:Strong experience in containerisation and experience deploying applications to Kubernetes. Strong experience in API development using Python based frameworks like FastAPI. Key Soft Skills:Problem-Solving:  Leadership experience in problem-solving and technical decision-making. Communication:  Strong in strategic communication and stakeholder engagement. Project Management:  Experienced in overseeing project lifecycles working with Project Managers to manage resources. Feel rewardedFor starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.<h4>Experience Level</h4>Mid Level

Business Intelligence III-SUPPORT SERVICES-CTO HeadPower BI              



Department
Analytics


Location
Mumbai- Thane


Number of Positions
3


Reporting Relationships
 


Position Grade
M4-M5



     <ul><li>4+ years of experience in design, develop and publish visually compelling, highly interactive &amp; insightful dashboards and reports using Power BI</li><li>4+ Years of experience on Power BI Development with Strong SQL, DAX and advanced Power BI</li><li>Migration Experience from Traditional BI to Modern Report Platform(Preferable Power BI) will be added advantage</li></ul>   <ul><li>Expertise in designing, building, securing, and deploying Power BI Reports</li><li>Experience working with Azure Analysis Services, SSAS, Power BI Dataflow, Power BI Embedded, Power BI Rest APIs</li><li>Expertise in designing &amp; building tabular and multi-dimensional models</li><li>Proficient in writing SQL &amp; DAX</li><li>Experience in migration for old reporting tools to Power BI, Performance tuning &amp; Optimization.</li><li>Power BI Premium experience including work with large datasets, incremental processing &amp; performance tuning</li><li>Good understanding of Data Visualization &amp; Art of Story Telling </li><li>Experience eliciting &amp; documenting requirements for Analytics reporting</li><li>Strong unit testing &amp; quality assurance skills</li><li>RDBMS and No-SQL database experience</li><li>Able to have Strong communication and collaboration abilities in addition to technical depth</li></ul> <h4>Experience Level</h4>Senior Level

Kotak Mahindra Bank

Business Intelligence Analyst

Data Analytics-Python DeveloperMandatory skills1.Python, Dagster, Docker containerization-3 5 years2.Data Modeling-3 years Required Qualifications:· Proven experience as a Python Developer with a focus on data engineering.· Hands-on experience with Dagster for building and maintaining data pipelines.· Proficiency in Python libraries (Pandas, Polars, DuckDB) and ETL processes.· Solid understanding of Docker containerization.· Experience with Power BI, particularly connecting to Parquet data sources.· Experience wih Dimentional modeling, start schema, snow-flake schema.· Strong analytical, problem-solving, and communication skills.Preferred Qualifications:· Familiarity with Agile methodologies and a collaborative, team-oriented environment.Responsibilities:· Pipeline Development:o Develop and maintain Dagster pipelines to connect with various data sources andconvert raw data into Parquet format.o Optimize ETL processes for robust, scalable data workflows.· Data Analysis &amp; Transformation:o Analyze different source systems to design efficient integration strategies.o Modify and manage Parquet datasets to ensure data quality and performance.· Technical Implementation:o Utilize Python libraries such as Pandas, Polars, and DuckDB for data processingand analysis.o Deploy applications using Docker for seamless containerization and deployment.· Data Modeling:o Design innovative data models from source tables to staging, capturing time-seriesdata for advanced analytics.· Collaboration:o Work closely with<h4>Experience Level</h4>Mid Level

Pradeepit Global Consulting Private Limited

BI Developer

Data and Applied Scientist<h4>Job Summary</h4>NetApp is seeking a Data &amp; Applied Scientist to join the Data Services organization. The overarching vision of this organization is to empower organizations to effectively manage and govern their data estate and build cyber-resiliency while accelerating their digital transformation journey. To get to this vision, we will embark on an AI-first approach to build and deliver world-class suite of data services. As an individual contributor in this team, the Data &amp; Applied Scientist will be responsible for independently developing and shipping ML/AI-based solutions to solve real-world challenges in the domains of data governance and compliance. The candidate will possess deep expertise in using modern AI/ML systems to ship impactful products to production. This is going to be a challenging and a fun role in one of the most exciting roles in the industry today.<h4>Job Requirements</h4><ul><li>Lead the development and deployment of AI/ML models and systems for Data governance with techniques from the realm of classical Machine learning, Generative AI and AI agents.</li><li>Develop scalable data pipelines for various AI/ML-driven solutions from building curated data pipelines, setting up automated evals, adopting latest and greatest techniques and approaches platforms for rapid experimentation.</li><li>Collaborate with data scientists and engineers to integrate AI models and systems into the broader products at NetApp. Effectively communicate complex technical artifacts to both technical and non-technical audiences.</li><li>Work with a great deal of autonomy and proactively bring open-source AI innovations into our research and experimentation roadmap.</li><li>Ensure scalability, reliability, and performance of AI models in production environments.</li><li>Have a customer focus mindset and build AI/ML products that delight our customers.</li><li>Represent NetApp as an innovator in the machine learning community and promote the company's product capabilities in industry/academic conferences.</li></ul><h4>Required and Preferred Qualification</h4>Required Qualification•    Master’s or bachelor’s degree in computer science / applied mathematics / statistics / data science OR equivalent skills. Degrees are not compulsory. •    Expertise in data science fundamentals and model evaluations as evidenced by solid understanding of supervised ML, unsupervised ML and deep learning approaches with 4+ years of experience shipping them to production. •    Strong Proficiency in Python, modern ML frameworks (PyTorch, transformers) and derivative tooling. •    Working expertise with using large language models, prompting techniques, finetuning, synthetic data generation and knowing when not to use LLMs. •    Excellent communication and collaboration skills, with demonstrated ability to work effectively with cross-functional teams and stakeholders of an organizationPreferred Qualification•    Curiosity and tinkering with AI agents or multi-agent systems. •    Understanding of data governance, security policies and compliance frameworks. •    Experience of representing their work or company in AI/ML conferences. Publications or contributions to AI/ML community related to NLP or data governance. •    Active GitHub profile showcasing relevant open-source AI/ML projects or Kaggle achievements.<h4>Experience Level</h4>Mid Level

NetApp India Pvt Ltd

Principal Engineer, Engineering- Machine Learning and Artificial Intelligence<h4>Company Description</h4>Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.<h4>Job Description</h4>We are seeking a highly skilled Principal Engineer to join our Applied AIML team. This role involves developing and implementing advanced machine learning and artificial intelligence solutions to solve complex problems and enhance our products and operations.<h4>Qualifications</h4>Qualifications:<ul><li>Education: BE or MS in Computer Science, Engineering, or a related field.</li><li>Experience: Proven experience in applied machine learning, natural language processing, and AI development.</li><li>Skills: Proficiency in Python and at least one other programming language (e.g., C, Java, C++). Excellent data analytical skills and experience with large-scale data processing.</li><li>Interpersonal Skills: Strong communication skills and ability to work effectively in a team environment.</li></ul>Preferred Qualifications:<ul><li>Experience with large language models (LLMs) and generative AI technologies.</li><li>Familiarity with AI-powered products and services.</li></ul><h4>Additional Information</h4>Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at <a href="mailto:jobs.accommodations@sandisk.com">jobs.accommodations@sandisk.com</a> to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.<h4>Experience Level</h4>Senior Level

SanDisk India Device Design Centre Pvt.Ltd

Chief Engineer

Senior Product ManagerClarivate offers proprietary market access data sets aggregated to provide a comprehensive view of today’s healthcare ecosystem and offer invaluable insights from pre-launch through product maturity. We are looking for a Sr. Product Manager, reporting into the VP of Product Management for our Bangalore office. Across the Healthcare and Data Solutions organization our focus remains on driving growth by product enhancements.About You – education, experience, skills, and accomplishments<ul><li>Minimum bachelor’s degree in computer science, Statistics, Technology, or Engineering, or equivalent work experience, preferably with a data science background.</li><li>Atleast 5 years in total working as a product manager, in the pharmaceutical analytics industry.</li><li>A strong technical background coupled with an understanding of how data is leveraged to drive business outcomes in the pharmaceutical industry.</li><li>Familiarity with analytics using SQL, SAS, Python, R, statistical modeling, and AI/ML techniques.</li><li>Experience using JIRA and Confluence</li><li>Ability to think and articulate clearly, concisely, and accurately for writing requirements.</li><li>Excellent presentation and communication skills.</li><li>Highly self-motivated, confident to work on projects alone as well as leading a team</li><li>An enthusiastic approach to extending knowledge and learning new skills</li><li>Strong commitment to quality of work and good attention to detail</li></ul>What you will be doing in this role<ul><li>Project management to shape the product strategy and delivering roadmap for Disease Intelligence &amp; Analytics products.</li><li>Utilize Real World Data (Claims, EHR, Pharmacy data etc.) for new products as well as enhancing existing products.</li><li>Communicate the project requirements to key stakeholders.</li><li>Bring teams together to define and implement product features and translate them into requirements.</li><li>Ability to work well with internal teams, including developers, engineers, architects, quality assurance, and operations.</li><li>Ensure requirements are fully understood and that implementation plans match expectations.</li><li>Define success criteria for testing and product acceptance.</li><li>Facilitate the creation and maintenance of proper product documentation.</li></ul>About the Team Its a small team working closely with various other teams like Content team, Technology team, UI/UX team etc. for the projectWorking Hrs Monday to friday - Candidate should be flexible as the time might cut across other timezone as well.At Clarivate, we are committed to providing equal employment opportunities for all  qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.<h4>Experience Level</h4>Senior Level

Clarivate

Senior Product Manager

Business Intelligence AnalystMake 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 Business Intelligence Analyst is a seasoned subject matter expert, tasked with participating in the transformation of data into insights that drive business value using data analytics, data visualization, and data modelling techniques and technologies. This role is required to transform data into critical information and knowledge that can be used to make sound business decisions and is also responsible for the establishment of system applications and/or tools that the company uses to record, organize, store, secure, and access data. This role is required to have seasoned technical specialist proficiency in generating visual analytics, dashboards, and ad hoc reports for the business.Key responsibilities:<ul><li>Analyzes complex business problems and issues using data from internal and external sources to provide insight to decision-makers.</li><li>Creates forecasts, recommendations and strategic/tactical plans based on business data and market knowledge.</li><li>Creates specifications for reports and analysis based on business needs and required or available data elements.</li><li>Accountable for contributing to the definition, development, enhancement and tracking of metrics and dashboard requirements to deliver results and provide insight and recommendations on trends.</li><li>Works across multiple teams, using data analysis and tools to ensure analytics are valid, meaningful, and provides actionable and comprehensive insights.</li><li>Analyzes data across various platforms, including social media, and present trends and patterns.</li><li>Designs and maintains business intelligence reports and analytics.</li><li>Extracts and analyzes data, statistics, and information from various sources and interpret and produce the relevant reports, summaries, and briefing notes that will be used to inform business decisions.</li><li>Works with a variety of internal stakeholders to translate needs into data reports, data insights, and extracts.</li><li>Optimizes visual information for easier consumption and actionable metrics.</li><li>Maintains processes for ensuring data accuracy and current relevance and representation.</li><li>Reviews and edits requirements, specifications, business processes, and recommendations related to proposed solutions.</li><li>Ensures that the client receives the required support to implement recommendations and solutions.</li></ul>To thrive in this role, you need to have:<ul><li>Good understanding of data mining principles, predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.</li><li>Ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.</li><li>Ability to identify solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Excellent ability to work independently and collaborate across multiple teams and build sound working relationships.</li><li>Excellent understanding of current data protection and privacy laws.</li><li>Passionate about achieving results and statistics.</li><li>Technical expertise and knowledge of statistical concepts.</li><li>Ability to identify trends, business opportunities, etc.</li><li>Excellent awareness of critical business issues and priorities.</li><li>Programming skills with querying languages, SLQ, SAS, etc.</li><li>Good understanding of statistical analysis and reporting packages.</li></ul>Academic qualifications and certifications:<ul><li>Bachelor's degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Statistics, Engineering, Computer Science, Computer Engineering or another quantitative field is preferred.</li></ul>Required experience:<ul><li>Seasoned experience working in an analytics capacity.</li><li>Seasoned experience working with data collection tools and software.</li><li>Seasoned experience working with social media platforms such as LinkedIn, Facebook, etc.</li><li>Seasoned experience producing Excel-based reporting.</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>.

NTT DATA Global Delivery Services Ltd

Data & Business Insights Sr. AssociateWork On Analytics, Reporting and Business Intelligence ProjectsAccountabilitiesUnderstand, Gathering and Prepare the requirements for Business.   Works under supervision with internal and external teams to understand customer requirements Ability to elaborate on the details of a project   Collaborate with Automation Engineers, Machine Learning Engineers, Data Analysts and Business Intelligence Analyst to execute deliverables. Must possess technical writing, decision making, and problem-solving skills. Must possess strong command over English language. Must be flexible with working hours – may require to work in UK or US Shifts depending on the business requirement. SkillsAppropriate mathematical knowledge Strong communication and critical thinking skills Strives for professional development Customer focused Working Knowledge of (any) job associated programming languages (Python, D3, Javascript, HTML5, SQL, PowerBi, Tableau, Azure Cognitive Services, Power Platforms)<h4>Experience Level</h4>Senior Level

Business Data Analyst

Data Engineer - Ag & Trading<h4>Job Purpose and Impact</h4><ul> <li> The Professional, Data Engineering job designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job collaborates to ensure that large sets of data are efficiently processed and made accessible for decision making. </li> </ul><h4>Key Accountabilities</h4><ul> <li> DATA &amp; ANALYTICAL SOLUTIONS: Develops moderately complex data products and solutions using advanced data engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust. </li> <li> DATA PIPELINES: Maintains and supports the development of streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others. </li> <li> DATA SYSTEMS: Reviews existing data systems and architectures to implement the identified areas for improvement and optimization. </li> <li> DATA INFRASTRUCTURE: Helps prepare data infrastructure to support the efficient storage and retrieval of data. </li> <li> DATA FORMATS: Implements appropriate data formats to improve data usability and accessibility across the organization. </li> <li> STAKEHOLDER MANAGEMENT: Partners with multi-functional data and advanced analytic teams to collect requirements and ensure that data solutions meet the functional and non-functional needs of various partners. </li> <li> DATA FRAMEWORKS: Builds moderately complex prototypes to test new concepts and implements data engineering frameworks and architectures to support the improvement of data processing capabilities and advanced analytics initiatives. </li> <li> AUTOMATED DEPLOYMENT PIPELINES: Implements automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance. </li> <li> DATA MODELING: Performs moderately complex data modeling aligned with the datastore technology to ensure sustainable performance and accessibility. </li> </ul><h4>Qualifications</h4><ul><li>Minimum requirement of 5 years of relevant work experience. Typically reflects 7 years or more of relevant experience.</li><li>Design, develop, and maintain scalable ETL pipelines for multi-scale datasets.</li><li>Experience with cloud-based (AWS, Snowflake) data storage and processing platforms</li><li>Proficient with DataDog, snowflake, AWS.</li><li>Experience in using GenAI tools.</li></ul><h4>Experience Level</h4>Senior Level

Cargill India

Principal Data Engineer- BW HANADate Posted:2025-09-03Country:IndiaLocation:1st Flr, Wing B, North Gate Phase-II, Modern Asset, Sy.No.2/2, Venkatala Village, Yelahanka Hobli, Bangalore – 560064, KarnatakaPosition Role Type:UnspecifiedBW HANA Senior Data Engineer Role Summary The role involves designing, developing, and optimizing data models and pipelines to support enterprise data warehousing, reporting, and analytics. Key Responsibilities <ul><li>Design, develop, and maintain SAP HANA Views in Finance &amp; Order Management domains, leveraging both graphical and SQL script-based modeling to create complex, high-performance data models. </li></ul><ul><li>Develop and optimize SAP BW models, including InfoObjects, ADSOs, and CompositeProviders, ensuring seamless integration with SAP HANA. </li></ul><ul><li>Implement and manage data acquisition processes from multiple sources into SAP BW and HANA using variety of ELT techniques. </li></ul><ul><li>Perform data transformation, aggregation, and cleansing to ensure data quality and consistency for reporting and analytics. </li></ul><ul><li>Apply data security and authorization concepts within SAP BW and HANA to protect sensitive information and comply with governance policies. </li></ul><ul><li>Monitor, troubleshoot, and optimize data load processes, and queries for performance and reliability. </li></ul><ul><li>Document data models, transformation logic, and security configurations. </li></ul><ul><li>Stay updated on SAP BW/4HANA and SAP HANA innovations and best practices to continuously improve data architecture. </li></ul>Required Qualifications <ul><li>Bachelor’s degree in computer science, Engineering, or related fields. </li></ul><ul><li>Strong SQL skills. </li></ul><ul><li>7-10 years of hands-on experience with SAP HANA and SAP BW modeling in various functional domains. </li></ul><ul><li>Strong experience in data acquisition, SLT and other ELT techniques. </li></ul><ul><li>Solid understanding of security roles, authorizations, and data access control. </li></ul><ul><li>Excellent analytical, problem-solving, and communication skills. </li></ul>Desired Skills <ul><li>Master’s degree in computer science, Engineering, or related fields. </li></ul><ul><li>Experience with SAP Analytics Cloud, Power BI, or SAP BusinessObjects reporting tools. </li></ul><ul><li>Familiarity with Python. </li></ul><ul><li>Knowledge of cloud platforms (Snowflake, Databricks) and their integration with SAP BW/HANA. </li></ul>RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.   Privacy Policy and Terms:Click on this <a href="http://www.rtx.com/privacy/Job-Applicant-Privacy-Notice" rel="noopener noreferrer" target="_blank">link</a> to read the Policy and Terms<h4>Experience Level</h4>Senior Level

Rtx India Private Limited

Senior Data ScientistThe Microsoft Teams Data Science team's charter is to foster a data-driven culture to encourage and enable the entire organization to make more informed decisions through data. Our data and analytics team works closely with engineering, marketing, finance, and business leaders to identify opportunities for improving the customer experience and accelerate our business's growth in support of this mission. This is a unique opportunity to bring your knowledge of enterprise software offerings, as well as your understanding of data science methods and best practices, to help Microsoft deliver the best experience possible for our customers and partners. We are a modern product and services organization, one of the largest business &amp; consumer services on the planet, with over 300 million monthly active users. Data scientists on this team will be part of the broader data science team, and specific product teams focused on tangible and immediate business impact. We are looking for a highly skilled Senior Data Scientist to work on some of the biggest changes in how users collaborate in Teams including mobile, search, notifications, and copilot. Our goal is to enhance these features, improving the mobile user experience, helping users stay on top of their tasks, and enhancing the search experience. Data is key to getting it right! This role requires technical depth and experience leveraging statistics, data analysis, and visualization to drive business insights that lead to action and successful business outcomes. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.<h4>Responsibilities</h4><ul><li>Work with other teams across Microsoft to develop key metrics to achieve business outcomes.   </li><li>Work cross functionally to translate business problems into ones that can be solved and informed by data.   </li><li>Communicate vision and strategy, enabling global teams to operate independently to deliver success.</li><li>Have curiosity and apply analytical skills to dive deep into data to find key insights that impact the business.   </li><li>Develop models of usage, user behavior &amp; business behavior to make recommendations and influence the product road map.    </li><li>Be a champion of AB testing. Design, execute and analyze experiments to prove product change attribution.    </li><li>Utilize tools like SQL, R, Python to execute analyses.  </li><li>Grow and develop top talent - build and cultivate a highly functioning team of data scientists grounded in the objective truth of the measured customer experience.</li><li>Develop and manage relationships with product and business leaders across the organization to understand objectives and identify opportunities. Collaborate closely with other Microsoft Data Science and Data Engineering teams to deliver data-informed solutions to address the business's most essential needs.</li></ul><h4>Qualifications</h4>Required Qualifications:<ul><li>Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li></ul>Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: <ul><li>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul>Preferred Qualifications:<ul><li>5+ years leveraging passion for and understanding the need to deliver the right business impact by working with stakeholders to turn business problems into data analysis questions and unearthing deep insights from data.    </li><li>Experience as a data scientist for an online service, app, or Web site with millions of users. Experience working on an online collaboration, video conference, or messaging product is a plus.</li><li>Have a track record of innovative thinking and problem-solving skills using Big Data.   </li><li>Have the ability to deliver on ambiguous projects with incomplete data.   </li><li>5+ years leveraging the practical uses of statistics (i.e. experimentation, statistical modeling).</li><li>Professional experience with large-scale computing systems like Hadoop, MapReduce, and/or similar systems.     </li><li>5+ years of professional experience in SQL, R, Python, or related tools for large-scale analysis.    </li><li>Ability to convince others of their ideas and communicate complex analysis &amp; insights to a non-technical audience.  </li></ul>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the <a href="https://careers.microsoft.com/us/en/accommodationrequest" rel="noopener" target="_blank">Accommodation request form</a>. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.<h4>Experience Level</h4>Senior Level

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