9,864 data warehouse engineer jobs in India.

... Ataccama or a comparable MDM/data quality platform, including configuration of data models, rules, workflows, and stewardship capabilities.- Strong SQL skills for data profiling, test-data preparation, reconciliation, defect analysis, and validation of configured rules.- Experience with Snowflake or a similar data warehouse ...

... automated testing).- Exposure to Agile/Scrum methodologies.- GCP Professional Data Analyst or Data Engineer certification.- Tableau Desktop Specialist / Certified Data Analyst certification.- Experience in media, broadcasting, healthcare, or other data-intensive domains.- Understanding of data governance frameworks and data ...

... for a high growth open-end and closed end real estate product line. - Liaison between fund administrators and US based parent company to facilitate efficient data transfer to CP US systems. - Support Investor and consultant data needs by updating databases containing performance and operations data for our product line. ...

... Compliance, and Management teams with reporting and data analysis requirements. - Validate data quality and investigate issues related to mismatched numbers, missing data, or incorrect calculations. - Work with data engineering or database teams to understand data sources and improve reporting reliability. - Optimize Power BI reports ...

... techniques including Jaro-Winkler, Levenshtein, TF-IDF, n-grams, token-based similarity, phonetic matching, embeddings, and transformer-based approaches. Perform data preparation, feature engineering, statistical analysis, model training, validation, and performance optimization. Develop hybrid solutions combining deterministic ...

... including hands-on experience with prompt engineering, RAG, embeddings, and agentic workflows - Practical experience building LLM/GenAI applications — prompt engineering, RAG, fine-tuning, embeddings, vector databases, and evaluation - Solid grounding in the full ML lifecycle: data validation, feature engineering, model design, ...

... business growth. Data storytelling to communicate complicated data solutions to non-technical stakeholders Able to share recommendations on project specific data usage Brainstorm & identify data gaps and data opportunities. Build full-proof solutions for insights which can be easily deployed New Data/API explorations and ...

... Experience with requirements gathering and stakeholder interviews.- Strong analytical and problem-solving https://jobeax.com/link/D1cYk5JWAvbfErTV Stack : - Data Catalogs, Metadata Management, Data Quality, Data Governance Frameworks.- Advanced Excel, PowerPoint, and reporting https://jobeax.com/link/Cexs453KRiH2S1rJ Qualifications ...

Job Description / Roles & Responsibilities: Design, develop, and maintain AI, Data, and Analytics applications using Python and SQL. Build and optimize backend data workflows and pipelines with data warehouses such as Snowflake. Collaborate with cross-functional teams to design and enhance application features. Develop ...

Job Description - Data Scientist Job Title Data Scientist (Core ML) – 4–6 Years Experience Role Summary Develop predictive analytics and machine learning solutions focusing on forecasting, regression and statistical modelling. Key Responsibilities Build regression and forecasting models. Develop lead time prediction and ...

... and multi-agent systems using frameworks such as Google Agent Development Kit (ADK), LangGraph, LangChain, or similar orchestration platforms. Design scalable data preparation, feature engineering, and data augmentation pipelines to improve model performance and robustness. Support end-to-end model lifecycle activities, ...

Job Description / Roles & Responsibilities: Design, develop, and maintain AI, Data, and Analytics applications using Python and SQL. Build and optimize backend data workflows and pipelines with data warehouses such as Snowflake. Collaborate with cross-functional teams to design and enhance application features. Develop ...

... performance. Provide actionable recommendations based on data findings. Communicate analysis results to business and technical stakeholders. Work closely with Data Governance, Business Analysts, Data Engineers, and Product Owners. Participate in data quality improvement initiatives and governance forums. Document data quality ...

... contributing to organizational https://jobeax.com/link/dZl2Pf8ll7nNVerR : BengaluruYour Future Employer :It is a global AI and analytics company specializing in data-driven solutions, advanced analytics, data engineering, governance, MLOps, and AI-powered/Generative AI solutions. Founded in 2011, it works with major organizations ...

... Qualifications :- 10+ years of overall experience in data engineering, data modeling, or data architecture.- Expertise in ETL/ELT design and architecture using modern data integration platforms.- Proficiency in SQL and experience with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery, Azure Synapse).- Hands-on experience ...

... fantastic opportunity for an experienced Data Analyst join our global Data Transformation team. This role will play a major part in the delivery of our Group Data Strategy and Data Transformation Journey by delivering, enhancing, and maintaining our IQEQ Data Platform which will drive how our data is managed and used to ...

... stakeholders. Mentor junior data scientists and contribute to best practices across the team. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field. - 3–9 years of hands-on experience in Data Science, Machine Learning, Applied AI, or Advanced ...

As the Engineering Manager for Data Science, you will lead a high-performing team of Data Scientists, Machine Learning Engineers, and Data Engineers. You will sit at the intersection of advanced analytics and robust software engineering, guiding the team to design, build, deploy, and scale production-grade ML models and ...

Job Description / Roles & Responsibilities: Design, develop, and maintain AI, Data, and Analytics applications using Python and SQL. Build and optimize backend data workflows and pipelines with data warehouses such as Snowflake. Collaborate with cross-functional teams to design and enhance application features. Develop ...

... technical and non-technical audiences. This might involve presenting research findings at conferences or writing papers for academic journals. Your profile as Senior Data Scientist (m/f/d): - 8+ years of experience in research development, with a strong understanding of data structures and algorithms. - Master's degree in Mathematics, ...