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Senior Data Engineer <ul><li>Architect and optimize large-scale data pipelines</li><li>Work with cutting-edge tools like MWAA, ECS, Glue, Redshift, Airflow, Terraform</li><li>Collaborate in Agile teams and integrate CI/CD workflows</li><li>Drive innovation with AI/ML workflows and modern observability tools</li></ul> What We’re Looking For:<ul><li>8+ years of hands-on experience in Data Engineering</li><li>Deep knowledge of AWS services and distributed systems</li><li>Strong experience with Databricks (PySpark, Delta Lake), DBT, and data modeling</li><li>Bonus: Experience with Meltano, AI/ML pipelines, and tools like Datadog or Prometheus</li></ul> Share your resume now.

GSPANN Technologies

Data Engineer

Tech Lead - SQL + Snowflake + ADF JobYASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire MS SQL Professionals in the following areas : <h4>Experience</h4>5 - 7 Years<h4>Job Description</h4>Job Summary:We are looking for a skilled SQL Server, Snowflake Developer to join our data and analytics team. The ideal candidate will have strong experience in developing and maintaining data solutions using SQL Server, Snowflake. You will play a key role in building scalable data pipelines, designing data models, and delivering business intelligence solutions.Key Responsibilities:-Develop and optimize complex SQL queries, stored procedures, and ETL processes in SQL Server. -Design and implement data pipelines and models in Snowflake. -Build and maintain SSIS packages for ETL workflows. -Migrate and integrate data between on-premise SQL Server and Snowflake cloud platform. -Collaborate with business analysts and stakeholders to understand reporting needs. -Ensure data quality, performance tuning, and error handling across all solutions. -Maintain technical documentation and support data governance initiatives. Required Skills &amp; Qualifications:-5-7 years of experience with SQL Server (T-SQL). -2+ years of hands-on experience with Snowflake. -Strong understanding of ETL/ELT processes and data warehousing principles. -Experience with data modeling, performance tuning, and data integration. -Familiarity with Azure cloud platforms is a plus. -Good communication and problem-solving skills. Preferred / Good-to-Have Skills:-Experience with Azure Data Factory (ADF) for orchestrating data workflows. -Experience with Power BI or other visualization tools. -Exposure to CI/CD pipelines and DevOps practices in data environments.<h4>Required Technical/ Functional Competencies</h4>Domain/ Industry Knowledge:<ul><li>Basic knowledge of customer's business processes- relevant technology platform or product.</li><li>Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.</li></ul>Requirement Gathering and Analysis:<ul><li>Working knowledge of requirement management processes and requirement analysis processes, tools &amp; methodologies.</li><li>Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements &amp; transition requirements for engagement.</li></ul>Product/ Technology Knowledge:<ul><li>Working knowledge of technology product/platform standards and specifications.</li><li>Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.</li><li>Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities.</li></ul>Architecture tools and frameworks:<ul><li>Working knowledge of architecture Industry tools &amp; frameworks.</li><li>Able to identify pros/ cons of available tools &amp; frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation.</li></ul>Architecture concepts and principles:<ul><li>Working knowledge of architectural elements, SDLC, methodologies.</li><li>Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution &amp; engagements and communicates architecture direction to the business.</li></ul>Analytics Solution Design:<ul><li>Knowledge of statistical &amp; machine learning techniques like classification, linear regression modelling, clustering &amp; decision trees.</li><li>Able to identify the cause of errors and their potential solutions.</li></ul>Tools &amp; Platform Knowledge:<ul><li>Familiar with wide range of mainstream commercial &amp; open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.</li></ul><h4>Required Behavioral Competencies</h4>Accountability:<ul><li>Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.</li></ul>Collaboration: <ul><li>Shares information within team, participates in team activities, asks questions to understand other points of view.</li></ul>Agility:<ul><li>Demonstrates readiness for change, asking questions and determining how changes could impact own work.</li></ul>Customer Focus:<ul><li>Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.</li></ul>Communication:<ul><li>Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.</li></ul>Drives Results:<ul><li>Sets realistic stretch goals for self &amp; others to achieve and exceed defined goals/targets.</li></ul>Resolves Conflict:<ul><li>Displays sensitivity in interactions and strives to understand others’ views and concerns.</li></ul><h4>Certifications</h4>
Mandatory At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles<ul><li>Flexible work arrangements, Free spirit, and emotional positivity</li><li>Agile self-determination, trust, transparency, and open collaboration</li><li>All Support needed for the realization of business goals,</li><li>Stable employment with a great atmosphere and ethical corporate culture</li></ul><h4>Experience Level</h4>Senior Level

Yash Technologies Private Limited

GCP Data Engineer Skills Required:<ul><li>Expertise in GCP ecosystem – BigQuery, Dataflow, Composer, Pub/Sub, DataProc</li><li>Strong proficiency in Python, PySpark, SQL</li><li>Knowledge of HDFS, Hadoop and large-scale data migration/engineering</li></ul> Responsibilities:<ul><li>Design, build, and optimize data pipelines on GCP</li><li>Lead and deliver end-to-end data engineering &amp; migration projects independently</li><li>Collaborate with stakeholders to build scalable and reliable cloud data solutions</li></ul> Experience: 5+ years Share your updated resume now.

Natobotics

Senior Data Scientist We are looking for a Senior Data Scientist to join our Housing Finance business and contribute to risk modelling and credit decisioning. This is an excellent opportunity for professionals with strong analytical and technical skills who are ready to make an immediate impact. Key Responsibilities<ul><li>Develop and implement credit risk models (scorecards, regression, decision trees, GBM, and other ML techniques).</li><li>Support credit decisioning and portfolio risk management.</li><li>Work with cross-functional teams to enhance risk strategy.</li></ul> Skills &amp; Expertise<ul><li>Strong knowledge of Python/R, SQL, and Statistical Modelling.</li><li>Proven experience in credit scoring or financial risk analytics (mandatory).</li><li>Hands-on experience with risk modelling, scorecards, and ML techniques.</li></ul> <ul><li>Experience: 4+ Years</li><li>Budget: Up to ₹10 LPA</li><li>Note: Only candidates who can join within 0–15 days will be considered.</li><li>If you meet the above requirements and are ready for your next challenge, apply today!</li></ul> Share your profile at <a rel="noopener noreferrer" href="\&quot;mailto:manuagrawal01@phosphorussolution.com\&quot;" target="_blank">manuagrawal01@phosphorussolution.com</a>

Phosphorus Solutions

Data Scientist

Data Engineer Mandatory Skill- Azure (Azure data bricks, data factory, data lake), AWS-Scala (AWS, Scala, Hadoop, Spark)Experience- 5.5-9 YearsEarly joiners only Share your updated resume now.

Coforge

Big Data Developer What You’ll Do:<ul><li>Leverage Apache Iceberg: Design and implement robust big data solutions using Apache Iceberg to manage large datasets efficiently.</li><li>Collaborate for Success: Partner with cross-functional teams to enhance data architecture and drive impactful business decisions.</li><li>Data Analysis &amp; Insights: Dive into complex data sets, extracting meaningful insights that inform strategy and operations.</li><li>Optimize Data Workflows: Ensure seamless integration and high performance across data platforms while maintaining data integrity.</li></ul> What We’re Looking For:<ul><li>Big Data Expertise: Solid experience with Big Data technologies, particularly Apache Iceberg.</li><li>Programming Skills: Proficiency in Java, Scala, or Python to develop and optimize data solutions.</li><li>Analytical Thinker: Strong analytical skills with the ability to derive insights from complex datasets.</li><li>Agile Mindset: Comfortable working in a fast-paced environment and managing multiple tasks effectively.</li></ul> Why Xoriant?<ul><li>Competitive Rewards: Enjoy a comprehensive salary and benefits package that values your expertise.</li><li>Growth Opportunities: We invest in your professional development—unlock your potential with us!</li><li>Innovative Culture: Experience a collaborative environment that celebrates creativity, teamwork, and innovation.</li></ul> <ul><li>Experience: 5-9 Years</li><li>Specialization: Apache Iceberg</li></ul> Send your resume to <a rel=\"noopener noreferrer\" href=\"mailto:pranav.dillikar@xoriant.com\" target=\"_blank\">pranav.dillikar@xoriant.com</a> with the subject line \"Big Data Developer Application.\"

Xoriant

Data Scientist What You’ll Work On• Designing and fine-tuning state-of-the-art NLP models, with a focus on Transformer architectures.• Building and scaling Retrieval-Augmented Generation (RAG) systems• Applying fine-tuning techniques including LoRA to boost model performance• Collaborating with cross-functional teams to deploy production-ready ML models.• Contributing to innovation with research, experimentation, and POCs What We’re Looking For• Min. 2 years of hands-on experience in NLP and deep learning• Deep expertise in Transformers, and model fine-tuning• Experience with RAG, LoRA, and optimization techniques• Background in speech, generative AI, or production ML systems is a plus Experience: 2-4 Years Share your updated resume now.

Nobroker Technologies Solutions Private Limited

SENIOR, DATA SCIENTIST - Conversational AI<h4>Position Summary...</h4><h4>What you'll do...</h4>About Team The Conversational AI team at Walmart builds and deploys core AI assistant experiences across Walmart. The team builds the core AI platform, which powers multiple conversational assistants for shopping, customer care and employee assistance across Walmart’s US and International markets. With tens of millions of active users across multiple countries these are among the largest vertical AI assistant experiences in the industry. The team is part of a larger “Emerging Tech” org, which is focussed on utilising emerging technologies like Conversational AI, Extended Reality, Spatial awareness, etc to reimagine and build intuitive and immersive experiences for our customers, sellers and associates.  We are looking for a Senior data scientist to lead the next evolution of the AI assistant platform by defining and building highly scalable Generative AI systems and infrastructure. This will be a hands-on data science leadership role which requires expertise at the intersection of machine learning, ASR, large-scale distributed systems, multi-modal LLMs, and more. Our AI assistants are rapidly incorporating LLMs, agent-based architecture with custom fine-tuned models, and multiple data modalities.    You can see more about the work our team does here in these articles: <a href="https://medium.com/walmartglobaltech/tagged/voice-assistant" rel="noopener noreferrer" target="_blank">https://medium.com/walmartglobaltech/tagged/voice-assistant</a> <a href="https://www.forbes.com/sites/bernardmarr/2024/02/15/the-amazing-ways-walmart-is-using-generative-ai" rel="noopener noreferrer" target="_blank">https://www.forbes.com/sites/bernardmarr/2024/02/15/the-amazing-ways-walmart-is-using-generative-ai</a>    What You Will Do  In this role, as a senior data scientist you will own the technical roadmap and architecture for multiple initiatives within the Conversational AI platform. The responsibilities include: <ul><li>Partner with key business stakeholders and be a thought leader in the Conversational AI space for driving the development and planning of POCs and production AI solutions. </li></ul><ul><li>Translate business requirements into strategies, initiatives, and projects. Align these with business strategy and objectives. Drive the execution of the deliverables. </li></ul><ul><li>Design, build, test and deploy cutting edge AI solutions at scale, impacting millions of customers worldwide. </li></ul><ul><li>Lead multiple initiatives within the platform, with focus on efficiency, innovation, and leverage. </li></ul><ul><li>Collaborate with the applied scientists, ML engineers, software engineers and product managers to develop next generation of AI assistant experiences. </li></ul><ul><li>Be up-to date on industry trends in the latest Generative AI, Speech/Video processing and AI assistant architecture patterns (e.g. agent chaining, COT, RAG, LLM guardrails etc) </li></ul><ul><li>Provide technical leadership, guidance and mentorship to highly skilled and motivated data scientists in the team. </li></ul><ul><li>Lead innovation and efficiency through the complete problem-solving cycle, from approach to methods to development and results. </li></ul><ul><li>Partner and engage with associates in other regions for delivering the best services to customers around the globe. </li></ul><ul><li>Proactively participate in the external community to strengthen Walmart's brand and gain insights into industry practices.  </li></ul><ul><li>Drive innovation in the charter and publish research in Rank A+ AI conferences like ICML, AAAI, NIPS, ACL, etc. </li></ul>  What You Will Bring <ul><li>Master's with 6+ years or Ph.D. with 4+ years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or related area. </li></ul><ul><li>Strong track record in a data science tech lead role (4+ years), with deployment of large-scale AI services.  </li></ul><ul><li>Extensive experience in the design, development, and delivery of AI products with a large customer base, preferably in conversational AI, speech, vision or machine learning based systems. </li></ul><ul><li>Strong experience in machine learning: Gen AI, NLP, Speech processing, Image processing, Classification models, regression models, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, and experimentation. </li></ul><ul><li>Extensive experience building and deploying GenAI/Deep learning models for real-time inferencing/streaming applications. </li></ul><ul><li>Deep and demonstrated personal interest in generative AI space including awareness of latest architectural advancements in building generative AI applications. </li></ul><ul><li>Excellent decision-making skills with the ability to balance conflicting interests in a complex and fast-paced environment. </li></ul><ul><li>Deep experience in simultaneously leading multiple data science initiatives end to end – from translating business needs to analytical asks, leading the process of building solutions and the eventual act of deployment and maintenance. </li></ul><ul><li>Thorough understanding of distributed technologies, public cloud technologies, scalable platforms, ML- platforms and Operational Excellence. </li></ul><ul><li>Experience working with geographically distributed teams. </li></ul><ul><li>Business acumen; combining technical vision with business insights. </li></ul><ul><li>Research acumen; with papers published in top tier AI conferences like AAAI, NIPS, ICML, KDD, etc. </li></ul><ul><li>Strong experience with big data platforms – Hadoop (Hive, Map Reduce, HQL, Scala). </li></ul><ul><li>Strong experience in Python and Java. </li></ul> About Walmart Global Tech  Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.  That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.   Flexible, hybrid work  We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.   Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.   Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.  <h4>Minimum Qualifications...</h4>Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.<h4>Preferred Qualifications...</h4>Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. <h4>Primary Location...</h4>BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India<h4>Experience Level</h4>Senior Level

Walmart India Pvt Ltd

Data Scientist • Must Have: Time series, forecasting, ARIMA, SARIMA, XGBoost, Random forest, Python Coding exp• Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.) and familiarity with deep learning frameworks (TensorFlow, PyTorch).• Excellent programming skills in Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly).• Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods.• Experience with data preprocessing, feature engineering, and model evaluation. Immediate Joiners preferred If you are interested, Share your resumes to <a rel="noopener noreferrer" href="\&quot;mailto:shyamsundarr@thoucentric.com\&quot;" target="_blank">shyamsundarr@thoucentric.com</a> on or before 1st September

Thoucentric Technology Private Limited

Associate Analyst,Global Data ManagementNo Relocation Assistance Offered Job Number #167957 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Job Purpose : Global Data Management as a function has the objective to achieve one version of data in core business systems and applications, enabling correct transactional processes and analytics, resulting in use of the information as the asset valued for the Company. Data in scope of the function include reference data, master data, content, analytic data, social data, big data, their definitions, governance processes, metrics, lifecycle and technology. Scope of the data management depends on the current Company’s strategy and what is assessed and considered as key priority to achieve desired business outcome. Purpose &amp; Accountabilities : The Global Data Management (GDM) Analyst position supports business functions by providing master data expertise and managing the master data governance and maintenance processes. Providing support and liaison with the business and the Global GDM Team with related projects and issue resolution of queries. Identify and implement improvements resulting in increased operational and business efficiency. Key Responsibilities:<ul><li>Validate and ensure that all master data is accurate, complete and fully approved during the life cycle, in accordance to external and internal standards. Release/Reject requests and provide feedback on decision</li><li>Monitor data processes to ensure compliance with process cycle times and related performance measures and KPIs,</li><li>Monitors performance indicators/metrics for data within their span of responsibility and regularly reports status to supervisor </li><li>Analyze data in the systems to support business functions when requested</li><li>Support in issues resolution</li><li>Prepares and generates data quality reports and analysis</li><li>Plans and executes data cleansing initiatives</li><li>Participates in related projects</li><li>Ensures internal control and SOX rules are followed along GDM governance process</li><li>Develops and maintains Data Management related documentation (procedures, policies, end-user manuals, training materials, etc),</li><li>Identifies improvement to Data Management governance process, tools or systems and works on their implementation when approved,</li><li>Participates in audits, cooperates with internal and external auditors providing them required information,</li><li>Analyzes data in the systems as a part of gap-fit analysis and/or Data Management standardization projects, identifies use of the certain data elements, attributes fields, proposes standardized values and works on their implementation.</li></ul>  Key Relationships:<ul><li>End-users of GDM solutions from subsidiaries within the functional scope of responsibility</li><li>Business functions representatives from all levels of organization being involved directly in GDM governance processes or being impacted by GDM</li><li>Global GDM Domain Leaders and other regional GDM team members</li><li>Other CBS Centers</li><li>Project Teams</li><li>Global IT Organization</li><li>Other stakeholders required to solve master data issue or master data related conflict</li></ul>  Experience and Education:<ul><li>Bachelor degree minimum</li><li>Experience with Master Data Tool / Technology</li><li>Working knowledge of Machine Learning/Automation tools</li><li>SAP or other ERP tool knowledge</li><li>2 plus years of work experience</li><li>Proficient in Reporting and/or Budgeting</li></ul>  Good to Have:<ul><li>Working knowledge of programming languages SQL, Google App scripts.</li><li>Experience with third-party data i.e., syndicated market data, data anlaysis</li><li>Working knowledge of consumer packaged goods industry</li><li>Understanding of Colgate’s processes, and tools supporting analytics (for internal candidates)</li><li>Willingness and ability to experiment with new tools and techniques</li><li>Good facilitation and project management skills</li><li>Ability to maintain personal composure and tactfully handle difficult situations</li></ul> Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives  to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this <a href="https://docs.google.com/forms/d/e/1FAIpQLSdaxk_eF4utznQoVHlxmL9jVFJbOkM4Oe5CAdKOg-h9EPdLfg/viewform" target="_blank">request form</a> should you require accommodation. #LI-Hybrid<h4>Experience Level</h4>Mid Level

Colgate - Palmolive India Ltd

Data Analyst Intern

Senior Data EngineerDate Posted:2025-04-11Country: IndiaLocation: 1st Floor, Embassy Vajram Onyx, Embassy Tech Village, Outer Ring Road, Devarabisanahalli, Bengaluru, Karnataka - 560103, India.Job Title: Senior Data EngineerYears Of Experience: 5 – 8 YearsRole Overview: As a Senior Data Engineer you will be working in end to end development of scalable Big Data pipelines and Data streams and manage various data related objectives such as system configuration and integration on multiple platformsOn a typical day you will:<ul><li>As a Data Engineer you will be working with one of the largest and most complex warehouse environments</li><li>Coordinate with key stakeholders and ensure effective design, development, validation in line with the stakeholder needs and architectural requirements</li><li>End to end development of scalable Big Data pipelines and Data streams</li><li>Manage various data related objectives such as system configuration and integration on multiple platforms</li><li>Develop key metrics for tests on data and ensure integrity of same on data architecture</li><li>Adhere to proper documentation based on each of the development activities</li><li>Work with huge data sets and exhibit problem solving, analytical and communication abilities</li><li>Will be working in a self-directed environment, take up responsibilities and drive them to completion</li></ul>What you will Need to be Successful:<ul><li>Problem solving, analytical and good communication abilities</li><li> Years of development experience with Azure Cloud and Big Data Analytic solutions</li><li>Hands on experience in Azure - Data Factory, Data Lake store/Blob storage, SQL DB</li><li>Experience in creating Big data Pipelines with Azure components</li><li>Good programming skills in Java, Scala or Python</li><li>SQL experience writing stored procedures, tuning indexes and troubleshooting performance bottlenecks</li><li>Advanced experience with Data Warehousing concepts and standards</li><li>Experience with ETL processing or ETL toolset</li><li>Data Management concepts and standards (SQL Server, Oracle, Cloud, Hadoop, etc.)</li><li>Experience with Big Data Solutions. Hive, Spark or other frameworks</li><li>Experience across cloud implementations and Solutions specially Microsoft Azure</li><li>Exposure to large databases, BI applications, data quality and performance tuning.</li><li>Practical knowledge of Linux or Unix, a plus</li><li>Experience in Snowflake (cloud data warehouse), a plus</li><li>Experience with MS Dynamics data integration and development, a plus</li><li>Experience with Oracle - JDE ERP,  a plus</li></ul>If you live in a city, chances are we will give you a lift or play a role in keeping you moving every day. Otis is the world’s leading elevator and escalator manufacturing, installation, and service company. We move 2 billion people every day and maintain approximately 2.2 million customer units worldwide, the industry's largest Service portfolio.  You may recognize our products in some of the world’s most famous landmarks including the Eiffel Tower, Empire State Building, Burj Khalifa and the Petronas Twin Towers! We are 69,000 people strong, including engineers, digital technology experts, sales, and functional specialists, as well as factory and field technicians, all committed to meeting the diverse needs of our customers and passengers in more than 200 countries and territories worldwide. We are proud to be a diverse, global team with a proven legacy of innovation that continues to be the bedrock of a fast-moving, high-performance company.  When you join Otis, you become part of an innovative global industry leader with a resilient business model. You’ll belong to a diverse, trusted, and caring community where your contributions, and the skills and capabilities you’ll gain working alongside the best and brightest, keep us connected and on the cutting edge.  We provide opportunities, training, and resources, that build leadership and capabilities in Sales, Field, Engineering and Major Projects and our Employee Scholar Program is a notable point of pride, through which Otis sponsors colleagues to pursue degrees or certification programs.   Today, our focus more than ever is on people. As a global, people-powered company, we put people – passengers, customers, and colleagues – at the center of everything we do.  We are guided by our values that we call our Three Absolutes – prioritizing Safety, Ethics, Quality in all that we do. If you would like to learn more about environmental, social and governance (ESG) at Otis click <a href="https://www.otis.com/en/us/our-company/esg" rel="noopener noreferrer" target="_blank">here</a>.  Become a part of the Otis team and help us #Buildwhatsnext! Otis is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other protected class according to applicable law. To request an accommodation in completing an employment application due to a special need or a disability, please contact us at careers@otis.com.Privacy Policy and Terms:Click on this <a href="https://www.otis.com/corporate/privacy-policy/Job-Applicant/" rel="noopener noreferrer" target="_blank">link</a> to read the Policy and Terms<h4>Experience Level</h4>Senior Level

Otis Elevator Company India Ltd

Senior Data Engineer - Python<h4>Company Description</h4>NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.  We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit <a href="http://www.niq.com/">www.niq.com</a>.<h4>Job Description</h4>YOU’LL BUILD TECH THAT EMPOWERS GLOBAL BUSINESSES Our Connect Technology teams are working on our new Connect platform, a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on Connect data and insights to innovate and grow. As a senior Data Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and supporting cutting-edge technologies such as Python, Pyspark, SQL, Hive, Databricks, Airflow.  These technologies are deployed using DevOps pipelines leveraging Azure, Kubernetes, Git HubAction, and GIT Hub.  WHAT YOU’LL DO: <ul><li>Develop, troubleshoot, debug and make application enhancements and create code leveraging Python, SQL as the core development languages.  </li></ul><ul><li>Develop new BE functionalities working closely with the FE team. </li></ul><ul><li>Contribute to the expansion of NRPS scope </li></ul><h4>Qualifications</h4>WE’RE LOOKING FOR PEOPLE WHO HAVE:  Must have <ul><li>5-10 Years of years of applicable software engineering experience  </li><li>Must have a strong experience Python </li><li>Strong fundamentals with experience in Bigdata, Python, Pyspark, SQL, Hive, Airflow </li><li>Must have SQL knowledge.  </li></ul>Good to have <ul><li>Good to have experience in scala and databricks. </li></ul><ul><li>Good to have experience in Linux and KSH </li></ul><ul><li>Good to have experience with DevOps Technologies as GIT Hub,  GIT Hub action, Docker. </li></ul><ul><li>Good to have experience in the Retail Domain. </li></ul><ul><li>Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business   </li></ul><ul><li>Minimum B.S. degree in Computer Science, Computer Engineering or related field </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>Senior Level

NielsenIQ

Azure Data Engineer Key Skills We’re Looking For:<ul><li>Strong hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse, Azure SQL</li><li>Expertise in ETL/ELT pipelines and data modeling</li><li>Proficiency in PySpark / Python / SQL</li><li>Knowledge of Azure Data Lake, Power BI</li><li>Solid understanding of data integration, migration, transformation, and cloud data engineering best practices</li></ul> Experience - 3+ yearsImmediate joiners are prefer Share your updated resume now.

Xebia 

Business Analytics (3 to 6 years)About PhonePe Limited:Headquartered in India, its flagship product, the PhonePe digital payments app, was launched in Aug 2016. As of April 2025, PhonePe has over 60 Crore (600 Million) registered users and a digital payments acceptance network spread across over 4 Crore (40+ million) merchants. PhonePe also processes over 33 Crore (330+ Million) transactions daily with an Annualized Total Payment Value (TPV) of over INR 150 lakh crore.  PhonePe’s portfolio of businesses includes the distribution of financial products (Insurance, Lending, and Wealth) as well as new consumer tech businesses (Pincode - hyperlocal e-commerce and Indus AppStore Localized App Store for the Android ecosystem) in India, which are aligned with the company’s vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services. Culture:At PhonePe, we go the extra mile to make sure you can bring your best self to work, Everyday!. And that starts with creating the right environment for you. We empower people and trust them to do the right  thing. Here, you own your work from start to finish, right from day one. PhonePe-rs solve complex problems and execute quickly; often building frameworks from scratch. If you’re excited by the idea of building platforms that touch millions, ideating with some of  the best minds in the country and executing on your dreams with purpose and speed, join us!Role: Business Analyst  Experience Bucket: 3 to 6 yrsWhat kind of person are we looking for?First-principle problem solvers who are passionate about working with data and uncovering the stories that the numbers hide. If you're a curious mind and constantly questions the status-quo, then you'd fit right in with us.What would you get to do in this role? <ul><li>Be an integral part of the pod strategy and will have to define the critical metrics. You'll also monitor performance trends and influence any interventions, based on performance. </li><li>Collaborate closely with the business, and product functions to understand the business problem and translate them into the right analytical problem statement </li><li>Own the entire insight generation phase and work on deep, thorough analysis to provide unbiased answers on the identified problem statement. These insights and decisions will be influenced  ased on your presentation of the evidence, backed by data-driven hypothesis </li><li>Move past just being the "Data person" and contribute with individual thoughts on how to improve the critical metrics for the pod. We love people who think of themselves as the business owner and then go back to the data to prove or disprove the thought. </li><li>Act as the analytics and visualization SME for the team and ensure that the dashboards are designed and built in a way that makes it easy for the pod to consume the data they need.</li><li>Mentor other analysts in the team; play an active role in hiring process &amp; new team members' onboarding process </li></ul>What do you need to have to apply for this position? <ul><li>Minimum 3 years of analytics experience in relevant roles </li><li>Strong problem solving &amp; analytical skills </li><li>Penchant for business &amp; curiosity to understand how the product works - Ability to write complex queries on SQL to manipulate, consolidate multiple data sources for the purpose of dashboarding and analysis </li><li>Intuition for data and ability to handle big data sources </li><li>Strong working knowledge in Excel and visualization tools like PowerBI, Tableau, QlikView.</li><li>Understanding of data-analysis languages such as R, Python and in core statistical concepts is expected.</li><li>Experience in building ML models is good-to-have, but not mandatory.</li><li>Ability to clearly explain thoughts and ideas either verbally or in the written form. - Candidates who are able to explain the story behind their analysis will find themselves at an advantage</li></ul> PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles)<ul><li>Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance</li><li>Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System</li><li>Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program</li><li>Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy</li><li>Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment </li><li>Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy</li></ul> Our inclusive culture promotes individual expression, creativity, innovation, and achievement and in turn helps us better understand and serve our customers. We see ourselves as a place for intellectual curiosity,  ideas and debates, where diverse perspectives lead to deeper understanding and better quality results. PhonePe is an equal opportunity employer and is committed to treating all its employees and job applicants equally; regardless of  gender, sexual preference, religion, race, color or disability. If you have a disability or special need that requires assistance or reasonable accommodation, during the application and hiring process, including support for the interview or onboarding process, <a href="https://docs.google.com/forms/d/e/1FAIpQLSc-ETchy2LsQ_DjlNXOUcGfI182DnA533YZTLfVw5TkJH-Stw/viewform">please fill out this form.</a>Read more about PhonePe<a href="https://www.phonepe.com/blog/"> on our blog</a>.<a href="https://www.phonepe.com/blog/life-at-phonepe/">Life at PhonePe</a><a href="https://www.phonepe.com/press/">PhonePe in the news</a>

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