4,191 data power jobs in India.

... automated training, evaluation, and deployment (Azure preferred). Establish governance frameworks for ethical and compliant AI development. Mentor and upskill data science teams on emerging technologies and best practices. 10+ years in Data Science, AI/ML, with proven leadership in enterprise-scale projects. - Expertise ...

... frameworks for consumption of machine learning models at scale. - Perform feature engineering through extracting meaningful features from traditional and alternate data sources. - Mentor team of data scientists - Proficiency in Python, SQL, AWS / GCP / Azure - Bachelor's / Master's degree in mathematics, Statistics, Economics, ...

... dictionaries, mapping specifications, interface contracts, test datasets and data-quality documentation. Support performance tuning, partitioning, indexing, data retention, archival and privacy-aware data handling. Minimum 7 years of experience in data engineering, ETL/ELT development, data warehousing, data platform engineering ...

Data Engineer Working on top of worldwide research content, actions & knowledge, our Information Discovery, Machine Learning & Data Engineering teams explore new ideas and develop novel, AI-powered solutions which help publishers & researchers to know more, do more & achieve more. At the same time, our goal is to highlight ...

... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...

... transformation, and loading (ETL) of data. Your responsibilities will include: - Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. - Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. ...

... Skills, Education, or Experience - Experience developing and supporting data integration, ETL/ELT processes, data pipelines, and data transformations using modern data platforms and cloud-based technologies. - Working knowledge of data modeling, SQL, data quality practices, metadata management, and data governance principles ...

Key Responsibilities Design, develop, and maintain scalable ETL pipelines and DataOps workflows Build robust processes to integrate internal and external data sources with quality checks Automate manual tasks and optimize data ingestion and delivery processes Collaborate with cross-functional teams including product, marketing, ...

... analytics, BI self-service and AI use cases.- Databricks Workflows) and compute engines (Spark, SQL, Python).- Data Quality, Governance & Observability : - Implement data quality checks, validations, and monitoring to ensure reliability and trust in data products.- Contribute to data lineage, metadata management, and documentation.- ...

... Teradata, Python and Julia.- The candidate must have experience in Python and Julia for data processing, analysis and automation.- 2-4 years of experience in Teradata, Python, and Julia.- Strong experience in data engineering and data analytics.- Good knowledge of Provider domain.- Experience working with Teradata databases.- ...

... for structured and unstructured data. Integrate data from multiple internal and external sources into centralized systems. Build scalable batch and real-time data processing workflows. Data Infrastructure & Architecture: Develop and maintain data lake, data warehouse, or data mesh architectures. Ensure high availability, ...

... written and verbal communication skills in English. Experience with cloud technologies and distributed systems. Experience with data transformation frameworks and data pipeline orchestration tools. Experience managing large volumes of data and optimizing data processing. Understanding of event-based architecture, data streaming, ...

... scalable data systems that support next-generation products and analytics initiative. As a Senior Database Engineer, you will directly contribute to the company's data platform, database infrastructure, and analytics capabilities. By designing and maintaining scalable data pipelines and database solutions, you enable the organization ...

Tesco India • Bengaluru, Karnataka, India • Hybrid • Full-Time • Permanent • Working hours 45• Apply by 08-Sep-2026

... remain hands-on with Data Engineering, particularly with Databricks, Spark/PySpark, Python, SQL, AWS, data pipelines, and modern data platforms.- The existing Data Engineering team is currently not in place for this initiative. The selected candidate will therefore have an opportunity to help build the Data Engineering team ...

... Solid understanding of data modeling, business intelligence, and analytics best practices. - Strong problem-solving skills and ability to communicate complex data insights clearly to non-technical stakeholders. Preferred Skills: Experience in healthcare analytics or healthcare data systems. Knowledge of cloud data platforms ...

... ecosystem. - Experience in migrating data structured, unstructured data to Data lake - Experience or understanding of performance engineering both at system level and database level. - Experience or understanding of Data Governance, Data Quality, Data Issue Management. - Work closely with the implementation teams of the various ...

... Global Capital, CoinFund, Gumi Cryptos) and crypto projects (Aave and Kyber Network). Support our analytics team by owning the full ETL lifecycle—from master data to analytics-ready datasets. You will build and maintain daily batch pipelines that process 1-10 million master-data rows per run (and scale up to tens or hundreds ...

... reliability of 2K’s data ecosystem. This role applies DevOps principles to data engineering, managing CI/CD for data assets, Infrastructure-as-Code (IaC), and advanced data observability. focuses on complex problem-solving, optimizing cross-functional data flows, and ensuring that data infrastructure is scalable, secure, and highly ...

... like Data Lakes and SQL DW to build robust data solutions. Write SQL, Python, and PySpark code for efficient data processing and transformation. experience in data ingestion, data processing, and analytical pipelines for big data and relational databases. Hands-on experience with Azure services: ADLS, Azure Databricks, Data ...