9,330 data warehouse engineer jobs in India.

... 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 ...

We are seeking a detail-oriented Data Associate to join our growing team. As a Data Associate, you will work closely with our product managers, financial analysts, and engineers to ensure high-quality data integration, analysis, and maintenance. The ideal candidate will have a passion for working with large datasets, a ...

... discussions with business users, BI analysts, data engineers to understand their data needs and translate them into technical solutions. ● Design and implement data pipelines: Architect and build data pipelines using GCP services like Cloud Dataflow, Cloud Dataproc, and BigQuery to ensure efficient data ingestion, transformation, ...

... degree in Computer Science, AI, Electronics, Electrical Engineering, or related field. Strong Python programming with TensorFlow and PyTorch. - Experience with data preprocessing, augmentation, and large-scale image/video datasets. - Hands-on experience with Transformers, RNNs, Vision Transformers (ViT), Transfer Learning, ...

Skills Required ~ Data Science Duties & Responsibilities Advanced statistics, predictive analytics. Advanced object-oriented programming Hadoop, MySQL, TensorFlow, Spark Machine learning, data modeling Good aptitude and communication Education & Training ~ IT Education

The EDO Sustainable1 DATA OPERATIONS team at S&P Global is a project-focused, international group dedicated to excellence in sustainability data management. We are responsible for one of the world's most complete datasets on corporate sustainability, supporting global investors, corporates, and stakeholders with in-depth ...

... Consent Vendor Risk Execute end to end DSR DSAR workflows and privacy operations Perform data discovery classification and scanning using BigID Build and maintain data inventory catalog and lineage Identify sensitive data and risks PII overexposure dark data Support RoPA DPIA and regulatory compliance initiatives Configure workflows ...

... strong Data Analyst background with the ability to work with Excel, SQL, web-scraped data, and databases , while also being comfortable supporting basic cloud database, software, and data-related troubleshooting activities . Since the application relies heavily on accurate data, the candidate should be able to identify data-related ...

... embrace Statistical and ML technology Shield key processes and know-how on Statistical and ML Guarantee highest ML utilization Education: Mathematics/Physics/Engineering with a master's in business/data analytics or proven track record on Data Science Proven track record of minimum 5 years as a data scientist Coding capabilities ...

... with business requirements. Design and optimize data warehouse architecture to support efficient storage and retrieval of large datasets. Enable self-service data exploration capabilities for users to analyze and visualize data independently. Develop reporting and analysis applications to generate insights from data for ...

... Data Analysis and Engineering - Develop and optimise data models to support analytical requirements. - Conduct ETL processes to extract, transform, and load data efficiently into Google BigQuery. - Utilise Pandas for data manipulation, ensuring cleanliness and reliability of datasets. - Create efficient queries to retrieve ...