Data Engineering Jobs in India
There are 2,228 open Data Engineering jobs in India on freehire right now. 755 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 68%
- cloud 68%
- data-engineering 67%
- data-pipelines 65%
- analytics 59%
- etl 57%
- data-quality 53%
How the work is done
- Hybrid 301 · 14%
- Remote 178 · 8%
- Onsite 84 · 4%
Visa sponsorship offered in 36% of the 127 postings that state a position on it.
Seniority
- Senior 685
- Lead 222
- Principal 53
- Staff 47
- C-level 41
- Middle 25
Who is hiring
- 1000+ employees 628
- 501-1000 employees 139
- 51-200 employees 27
- 11-50 employees 15
- 201-500 employees 9
- 1-10 employees 1
Amazon Data Engineer I, CMT
Builds and maintains AWS-based data infrastructure for real-time AI/ML workloads, including pipelines, semantic layers, and data-as-a-product systems with SLAs.
Data Engineer
Build and maintain ETL pipelines using Azure Data Factory, Databricks, PySpark, and SQL to move and transform enterprise data, then surface insights in Power BI.
Cloud Data Engineer
Build and maintain cloud-based data pipelines, warehouses, and lakes for a large bank, ensuring accurate, secure, and scalable data processing and enabling ML model deployment.
Data Platform & Engineering Lead
Lead a team to design, build, and maintain scalable data platforms using Python, PySpark, and AWS services for a large bank’s analytics and reporting needs.
AVP Process Data Engineer
Design and maintain data governance frameworks, pipelines, and reporting for a global bank, ensuring regulatory compliance and high-quality data insights using ETL tools, SQL, and cloud platforms.
Senior Data Engineer
Design and maintain scalable data pipelines and database architectures using SQL, Python, and cloud platforms to support analytics and operational workloads.
Specialist, Data Engineer - India
Build and maintain secure, scalable data pipelines and warehouses using Python, SQL, AWS, and Databricks to deliver clean, reliable data for analytics and ML at a Fortune 100 insurer.
Amazon Data Engineer II , WW FBA Central Analytics
Fulfillment by Amazon (FBA) enables sellers to scale their businesses globally by leveraging Amazon's world-class fulfillment network. The WW FBA Central Analytics team builds and operates scalable,…
Data Engineer
Build and own production-grade batch ELT pipelines in Databricks/Spark, design and scale a lakehouse using medallion patterns, and create trusted data products for healthcare market research.
SWE Bench – Data Engineer/Data Scientist
Build and evaluate data pipelines and workflows for AI benchmarking, processing real-world datasets with Python to support SWE Bench-style evaluations.
Data Engineer II
Build and maintain data pipelines (StarRocks, Hudi, Trino, Spark) and support in-product analytics for HackerRank’s AI-native data layer.
Data Engineer
Build and maintain Python-based data pipelines, ETL processes, and APIs to integrate and analyze large datasets for a proptech company.
Senior Data Engineer
Build and maintain scalable AWS-based data pipelines and analytics platforms using Python, PySpark, and medallion architecture to power Taylor & Francis’s media and publishing products.
Tech - Data Engineer
Build and optimize scalable data platforms for trading systems using Java, Python, Kafka, and ETL pipelines to process large-scale financial datasets reliably.
Senior Data Engineer
Build and maintain scalable data pipelines on Databricks and Azure, using PySpark/Scala and SQL to process manufacturing or energy data for analytics and reporting.
Digital Data Engineer / Plant Specialist Level 2
Builds and maintains digital data pipelines to clean, transform, and ensure quality for plant operations, supporting data specialists in a manufacturing environment.