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
Data Engineer
Builds and maintains data pipelines using AWS Glue, Snowflake, and PySpark, with Python and SQL for ETL/ELT workflows.
Senior Data Engineer
Build and optimize scalable ETL/ELT pipelines and cloud data platforms using Python, AWS, SQL, and Snowflake to power analytics and AI-driven insights for a marketing analytics platform.
Business Domain Data Steward
Data steward role ensuring high-quality, trustworthy data for analytics and decision-making in Vanderlande’s logistics automation systems using Azure, Databricks, and Microsoft Purview.
Senior Data Engineer
Build and deploy production-scale AI systems at Adobe, focusing on LLMs, RAG pipelines, and Agentic workflows using Python, cloud platforms, and GenAI libraries.
Data Platform Engineer
Designs and maintains the company’s data platform using Databricks, collaborating with architects to integrate systems and models while optimizing pipelines for performance and scalability.
Data Engineer
Design and maintain data pipelines and ETL processes using Databricks to ensure reliable data flow and quality across systems.
Data Engineer
Design and maintain data pipelines and ETL processes on AWS to ensure reliable data collection, processing, and accessibility for analytics and systems.
Data Platform Engineer
Design and integrate data platforms, collaborating with architects to align systems and data models using Datadog and AWS.
Senior Data Engineer
Senior Data Engineer designs, builds, and scales large data pipelines and cloud infrastructure for a banking platform, using Python, PySpark, GCP, Kubernetes, and Kafka to deliver real-time and batch analytics.
Senior Data Engineer
Build and optimize scalable data pipelines and governed lakehouse platforms using Databricks, Spark, and AWS to support analytics and AI in a regulated biotech environment.
Manager, Data Engineering
Lead a team to design and deliver scalable data pipelines and platforms for analytics and AI use cases at Mastercard, using SQL, Python, and Databricks.
Vice President, Snowflake Data Engineer
Lead Snowflake-based data platform architecture, designing secure pipelines and medallion layers while enabling governed data sharing and AI integrations.
Data Engineer - Associate Director
Lead a team of 8–15 engineers to design, build, and optimize cloud-based data pipelines and lakehouse architectures using Python, PySpark, Databricks, and cloud platforms like Azure/AWS/GCP.
Cloud/Big Data Engineer
Build and maintain TransUnion’s multi-petabyte analytics platforms using GCP BigQuery, Hadoop, Spark, and Scala, while integrating data pipelines and optimizing SQL-based systems.
Manager Data Governance
Leads enterprise-wide data governance, quality frameworks, and automation to ensure compliance and drive data-driven decisions for Novartis’ healthcare operations.
Data Engineer
Designs and maintains data pipelines, ETL processes, and data warehousing solutions on AWS Analytics to ensure scalable data collection, processing, and quality for business stakeholders.
Data Engineer
Build and enhance enterprise data pipelines in Databricks Unity Catalog and Delta Lake, focusing on entity resolution, data remediation, and LLM-assisted workflows using PySpark and Python.
Specialist, Data Engineering
Builds and maintains data pipelines, warehouses, and lakes for marketing analytics using Hadoop, Spark, SQL, and cloud tools to ingest and process data from multiple sources.
Expert Data Engineer
Design and build AI-ready data pipelines and products that power retrieval-augmented AI systems, ensuring data quality, governance, and secure access for AI models.