Data Engineering Jobs in India
There are 2,216 open Data Engineering jobs in India on freehire right now. 737 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 52%
How the work is done
- Hybrid 299 · 13%
- Remote 176 · 8%
- Onsite 84 · 4%
Visa sponsorship offered in 37% of the 130 postings that state a position on it.
Seniority
- Senior 680
- Lead 220
- Principal 51
- Staff 46
- C-level 39
- Middle 23
Who is hiring
- 1000+ employees 634
- 501-1000 employees 139
- 51-200 employees 27
- 11-50 employees 15
- 201-500 employees 9
- 1-10 employees 1
Data Engineer
Design and develop scalable ETL data pipelines using Azure Databricks, Data Factory, and Data Lake, writing SQL/Python/PySpark code for data processing and transformation.
Data Engineer
Data Engineer role developing applications in AWS and Python, working with various AWS services including Lambda, SQS, S3, DynamoDB, and others. Requires strong understanding of REST APIs and maintaining existing applications according to enterprise best practices.
Director – Data Science & Data Engineering(AI)
Director leading a Data & AI practice—combining executive leadership, solution architecture, pre-sales consulting, and delivery oversight across AI/ML, Generative AI, analytics, and cloud platforms (AWS, Azure, GCP).
Sr. Data Architect – Supply Chain & Data Engineering
Senior Data Architect at a supply-chain SaaS platform, responsible for designing enterprise data models, building scalable ETL/ELT pipelines, and translating complex customer ERP data into canonical supply-chain datasets using SQL, Python, and cloud lakehouse technologies.
Lead Data Engineer with Supply chain expertise
Lead Data Engineer designing and building scalable real-time and batch data platforms for supply chain workflows using Python, SQL, PySpark, and container orchestration tools.
Data Engineering Specialist(Azure Databricks, MDM)
Design and optimize scalable data pipelines and govern enterprise data using Azure Databricks, Unity Catalog, dbt, and Master Data Management frameworks.
Azure Data engineer - AI - Snowflake - PAN INDIA
Lead the modernization of a legacy application by rebuilding it with Python-based services for validation, refactoring, and quality checks, leveraging AWS cloud services and LLM-based development workflows.
Data Engineer (Coding Agent Experience) (Remote | $80/hr)
Evaluate AI-generated data engineering implementations—ETL/ELT pipelines, data warehouses, distributed systems—using frontier AI coding agents, with Python and SQL as core technologies.
Lead BI Engineer – Power BI & Data Engineering
Lead BI Engineer responsible for designing Power BI solutions, developing complex dashboards and reports, and working with SQL Server, SSIS, SSRS, and SSAS technologies. Provides technical guidance to developers and works with Medallion Architecture.
Palantir Data Engineer
Palantir Foundry Data Engineer building scalable data pipelines, Ontology models, Workshop apps, and Quiver dashboards using Python, PySpark, and SQL.
Data Engineer/Data Management Specialist
Build and maintain ETL/ELT pipelines using Informatica and Snowflake, develop data models, and manage metadata and data lineage with Informatica Data Catalog to support enterprise data governance and analytics.
Data Engineer - Asset Based Finance
Build and maintain data infrastructure—ETL pipelines, cloud data warehouse, and automated reporting—for a private credit investment firm in Gurugram, working with loan-level datasets and integrating servicer/financial data sources using SQL, Python, and cloud warehouses.
Lead Engineer - Data Governance
Lead Data Governance Engineer at Mahindra establishing enterprise-wide data governance frameworks—data quality, metadata/catalog, lineage, security, and compliance automation—using tools like Collibra/Alation/Purview on cloud data platforms.