Data Engineering Jobs in India
There are 2,224 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 59%
- 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
ETL Developer Manager
Manage a team developing ETL pipelines and data services for a global financial group, using Java, Python, SQL, and cloud platforms to ensure reliable data delivery and integration.
Member Technical Staff II (Data Engineer +Backend)
Build and maintain large-scale data pipelines and backend services for media metadata platforms using Python/Java/Scala, Spark, and cloud tools.
Data Engineering Lead Analyst
Lead a team to design, build, and optimize cloud data platforms for Cigna’s healthcare operations, focusing on AWS-based ETL/ELT pipelines and the Integrated Data Store (IDS).
Data Engineer
Senior role building scalable cloud data pipelines and warehouses on AWS to power analytics and BI for a global convenience-retail tech company.
Data Engineer
Build and maintain AWS-native data pipelines and ETL processes to power analytics and reporting for a global convenience retail and petroleum tech platform.
Senior Data Engineer
Builds scalable data pipelines and APIs for analytics products like Portfolio Optimizer and Ad Insights using Python, Spark, and React.
Business Relationship Support Data Governance - SAP
Maintain and govern master data (customers, products, suppliers) in SAP, enforce standards, cleanse data, and support business processes across regions.
Vice President, Legal Support (LP Transfers, Entity Data Governance)
Lead a Mumbai-based legal operations team handling LP transfers and entity data governance, streamlining processes and mentoring staff while coordinating with global stakeholders.
Data Engineering Manager (DBA)
Lead a team to design, build, and maintain Oracle-based data infrastructure (RAC, Data Guard, GoldenGate) and migrate on-prem systems to OCI cloud, ensuring high availability, security, and performance for a global bank.
Amazon Data Engineer I, SPIV Data Engineering
Designs and maintains scalable data pipelines and medallion-architecture models to support fraud detection for Amazon sellers, ensuring data integrity and performance.
Data Engineer ETL
Build and maintain ETL pipelines, data warehouses, and lakes to process and secure financial data, collaborating with data scientists to deploy ML models.
Vice President – Lead Data Engineering & AI
Lead a team to design and build enterprise-scale data platforms and AI solutions for finance, including GenAI-driven natural language access, RAG, and agent-based workflows on Snowflake.
Data Platform Engineer
Designs and maintains data platform architecture, ensuring seamless integration between systems and data models while collaborating with architects and teams.
Associate Data Engineer
Build and maintain data pipelines using Databricks, PySpark, and Python to process and transform healthcare data for analytics and ML.
Sr Data Engineer
Build and optimize large-scale data pipelines and frameworks for Amgen’s R&D systems using PySpark, Databricks, AWS, and SQL to enable self-service analytics and AI-driven insights.
Vice President – Lead Data Engineering & AI
Lead a team building enterprise-scale data platforms and AI solutions for finance, including Snowflake-based data warehouses, GenAI interactions, RAG, and agent workflows to automate reporting and analytics.