3,708 data power jobs in India.

... EMR, and other AWS services.- Develop PySpark-based data processing applications for large-scale distributed data workloads.- Write optimized SQL queries for data transformation, analysis, and reporting requirements.- Implement data ingestion frameworks to process data from databases, APIs, files, applications, and other ...

... ETL Tool ONLY amongst Talend Datastage Informatica ISS Cloud version Data Fusion Data Flow Data Proc Mandatory SQL PLSQL Scripting Experience Expert in Python Data Flow Pubsub Big Query CICD Must have good Experienceknowledge on GCP components like GCS BigQuery AirFlow Cloud SQL PubSubKafka DataFlow and Google Cloud SDK ...

... in regulated industries (Pharma, Life Sciences, Banking). Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s) Enable high-quality, compliant data for analytics, ML, and GenAI workloads ...

... & Cloud Data Platforms • Data Architecture & Modelling • Collaboration & Best Practices • Quality & Governance Business Relationships • Solution Architects • Data Engineers, Developers, and Analysts • Client stakeholders up to Head of Data Engineering, Data Architect, and BI leadership levels Competencies / Critical Skills ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Amazon Web ...

... Experience : +6yrs About the Role We are looking for an experienced GCP Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform. The ideal candidate should have strong hands-on experience in GCP Data Engineering, BigQuery, Dataflow, Dataproc, Python/PySpark, ...

... complex and large-scale datasets. Strong experience in data analysis, data profiling, reconciliation, and Data Quality (DQ) validation. Ability to explore large datasets and translate analysis into clear findings, recommendations, and actionable insights. Experience working with large volumes of data and understanding of performance ...

Data Scientist – Snowflake + Agentic AI / Cortex AI

Role: Data Analytics – Lending Location: Gurugram Experience: 1–4 years, industry competitive compensation What you'll lead / own: Credit funnel analysis across application approval disbursal journeys Building scorecards, frameworks (CIBIL, thick/thin files, bureau/behavioural, ATS cohorts etc.) Forecasting GMV, approval, ...

... and efficient data integration.- Develop and optimize database objects, including stored procedures, functions, views, and triggers, to ensure performance and data integrity.- Manage data ingestion, transformation, quality, governance, security, and compliance across multiple data sources.- Lead data engineering initiatives, ...

... changes, providing data-backed recommendations to product development teams.- Build and maintain scalable data pipelines, analytical tools, and dashboards, ensuring data quality and accessibility for various business units and strategic decision-making.- Communicate complex analytical findings, model results, and data-driven recommendations ...

... - Build and deploysupervised/unsupervised ML modelsand NLP solutions - Performdata analysis, feature engineering, and model validation - Understand basics ofdata pipelines, datamodeling, and cloud platforms (Azure/Snowflake) - Support integration of AI models into scalable data/AI platforms - Supportmonitoring, performance ...

... Experience : +6yrs About the Role We are looking for an experienced GCP Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform. The ideal candidate should have strong hands-on experience in GCP Data Engineering, BigQuery, Dataflow, Dataproc, Python/PySpark, ...

... Glue, Lambda, Step Functions, and Apache Spark . Develop and optimize data lake and data warehouse architectures using AWS S3, Redshift, and Athena . Implement data ingestion, transformation, and storage solutions using AWS Glue, Kinesis, and Kafka . Work with structured and unstructured data to develop efficient data pipelines ...

Data Scientist – Snowflake + Agentic AI / Cortex AI

Purpose :This function supports the protection of patient privacy when clinical trial data is shared https://jobeax.com/link/l1hgfOb58lWIGmQb use cases :- Regulatory submissions.- Data sharing with researchers.- Health authority requests.- External collaborations.- Clinical trial transparency https://jobeax.com/link/2TEP4zJ4nBtcNfEZ ...

... changes, providing data-backed recommendations to product development teams.- Build and maintain scalable data pipelines, analytical tools, and dashboards, ensuring data quality and accessibility for various business units and strategic decision-making.- Communicate complex analytical findings, model results, and data-driven recommendations ...

... Work as an Individual Contributor on new and existing projects with a positive, problem-solving https://jobeax.com/link/rCyzW0NBvdP0uFXm Candidate :- Strong Data Scientist / AI Engineer / Generative AI Engineer profile.- 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, ...

... environment.- Experience with data quality frameworks, metadata management, lineage tooling, and transaction-level reconciliation.- Working knowledge of cloud data services, workflow orchestration, infrastructure as code, and CI/CD for data pipelines.- Understanding of data protection, access control, encryption, retention, ...

... Glue, Lambda, Step Functions, and Apache Spark . Develop and optimize data lake and data warehouse architectures using AWS S3, Redshift, and Athena . Implement data ingestion, transformation, and storage solutions using AWS Glue, Kinesis, and Kafka . Work with structured and unstructured data to develop efficient data pipelines ...