Data Engineering Jobs in India
There are 2,225 open Data Engineering jobs in India on freehire right now. 752 of them were posted recently. The skills employers ask for most often are sql, python and cloud.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| INR | year | ₹2,500,000 | ₹3,250,000 | ₹3,700,750 | 11 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- sql 73%
- python 69%
- cloud 68%
- data-engineering 67%
- data-pipelines 65%
- analytics 60%
- etl 57%
- data-quality 53%
How the work is done
- Hybrid 302 · 14%
- Remote 178 · 8%
- Onsite 84 · 4%
Visa sponsorship offered in 36% of the 127 postings that state a position on it.
Seniority
- Senior 684
- Lead 221
- Principal 53
- Staff 47
- C-level 41
- Middle 25
Who is hiring
- 1000+ employees 626
- 501-1000 employees 139
- 51-200 employees 27
- 11-50 employees 15
- 201-500 employees 9
- 1-10 employees 1

Senior Data Engineer
Senior Data Engineer at Weekday designs and maintains data warehouses, pipelines, and models, ensuring data quality and enabling analytics for product and modeling teams.
Software Engineer - Data Engineering
Build and maintain scalable AWS data pipelines and Snowflake warehouses using Python, SQL, and graph/vector databases to support analytics and AI workloads.
Senior Software Engineer - Data Engineering
Build and maintain scalable data pipelines on AWS and Snowflake, integrating vector/graph databases with AI workflows using Python and SQL.
Lead Software Engineer- Data Engineer
Leads a team to design and build a scalable AWS/Snowflake-based data platform for manufacturing, supply chain, and engineering data—focusing on ingestion, transformation, and real-time analytics pipelines.
Data Engineer II, ISS Central Science and Analytics
Build and maintain scalable data infrastructure for Amazon’s AI/ML research teams, enabling analytics and model training on large datasets using AWS tools.
Data Engineer E2E Trial Management - Pharma R&D
Build and maintain scalable data pipelines for Roche’s pharma R&D, integrating clinical trial systems and AI/ML infrastructure using Python, Spark, and vector databases.
Snowflake Data Engineer
Design and build ETL/ELT pipelines in Snowflake to move and transform financial data for analytics and reporting.
Data Engineer II
Build and maintain scalable ETL/ELT pipelines in Azure for life-sciences data, using Databricks, PySpark, and Data Factory to support regulated clinical and commercial analytics.
Senior Data Engineer
Build and optimize scalable data pipelines and lakehouse architectures using Databricks, Spark, Kafka, and Airflow to power analytics, ML, and newsroom workflows at a major media company.
Senior Software Engineer, Data Engineering
Leads enterprise-scale data platforms and applications, specializing in .NET Core, C#, SQL Server, and Azure for architecture, database design, and performance optimization while mentoring engineering teams.
Junior SQL/ETL Developer
Builds and maintains SQL queries and ETL pipelines using MSBI and cloud tools, ensuring data quality and supporting 24/7 monitoring under senior guidance.
Applied AI Machine Learning Data Engineer
Build and maintain scalable data pipelines and feature stores for AI/ML products in JPMorgan’s International Private Bank, ensuring model-ready data across markets.
Spclst, Data Engineering
Build and maintain data pipelines and infrastructure to support Merck’s healthcare and pharmaceutical operations using modern data engineering tools.
Data Engineer - Python and Azure Data Bricks
Builds and optimizes scalable data pipelines using Python and Azure Databricks to process large datasets, integrate diverse data sources, and ensure data quality for financial services clients.