9,504 data warehouse engineer jobs in India.

... management or content metadata platforms • Experience supporting data lake, warehouse, or enterprise data platform initiatives Key Competencies: • Enterprise data modeling • Financial domain knowledge • Metadata and schema design • Cross-system entity mapping • Data quality and governance alignment • Business-to-data translation ...

... don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role: - Degree in Computer Science, Data Analytics, or a related field - 4+ years of experience in Data Analysis, Master Data Management, or Reporting - Strong expertise in data analysis, reporting, ...

... technical teams. - Technical Skills: - Expertise in data modeling, data warehousing, and database design (both relational and NoSQL). - Strong proficiency in data engineering, including experience with ETL tools, data integration frameworks, and big data technologies. - Hands-on experience with cloud data platforms (e.g., ...

Job Title : Data Architect Key Responsibilities :- Design, define, and govern the enterprise data architecture, including data lakes, data warehouses, data marts, and operational data stores (ODS), contributing to the definition and evolution of Client's data strategy. - Establish and maintain data architecture standards ...

Long term contract Full time

Local area

Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers. We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying...

Agricultural Worldwide Flexible hours

Summary #LI-Hybrid Location: Hyderabad Are you ready to shape the future of data engineering in life sciences? As a Data Engineer Manager, you’ll lead the data engineering team and support the data science and/or reporting & analytics team inbuilding scalable... Hybrid work Work at office 3 days week

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... high impact projects by collaborating with Engineering, Product Management and Design, Data Engineering and Research and Insights teams. Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team - Experience applying your Data ...

... AI solutions using real-world enterprise datasets. What you'll bring - 6 + years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments. - Master's or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or ...

... and classification Drive adoption of our Data Cataloguing and Data Quality Platform while managing data access requests and agreements Ensure compliance with Data Golden Rules through enforcement mechanisms and ongoing monitoring Data Governance — developing level; establishing policies that ensure data integrity and regulatory ...

Job purpose Senior Engineer - Material Planning is to keep the department running in an efficient and cost-effective manner, to increase customer satisfaction, loyalty and retention and to meet their expectations. inventory control, material handling, logistics, and compliance with customer specifications and plan to meet ...

... maintain data models - Perform data analysis activities to capture data requirements and represent them in data model visualizations - Manage the life cycle of the data model from requirements to design to implementation to maintenance - Work closely with data engineers to create optimal physical data models - Identify areas ...

Senior Data Scientist About UptimeAI: UptimeAI provides AI reasoning agents that help industrial operations teams make goal-oriented, real-time decisions. Industrial facilities are rich in data but constrained by the expertise required to maintain and interpret it. As experienced engineers retire and operational complexity ...

... requirements - Present findings to stakeholders in a clear and concise manner - Ensure data accuracy, integrity, and consistency - Support business decisions through data-driven recommendations Key Requirements : - Education : Bachelors degree in business, Economics, Engineering, Statistics, or related field. Masters degree/MBA ...

... turning raw data into accurate, timely, and trusted intelligence that drive decisions at the executive and departmental level. You will work closely with our Data Engineers, DIM Team Lead, and business partners to build dashboards, define KPIs, and maintain rigorous data quality. This role is critical to the integrity and ...

... proper documentation and approvals. Collaborate with business teams on data governance and compliance initiatives. Identify and implement best practices for data ingestion, data design, and data quality improvement. Develop queries for profiling data, validating analyses, testing assumptions, and driving data quality assessment. ...

... identification, documenting data sources, methodologies, and quality findings with recommendations for improvement. Designing and building data pipelines to automate data movement and processing. Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and ...