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
Data Engineer - Fully Remote | Upto $80/hr
Build and evaluate AI-driven data engineering tasks like ETL pipelines and data warehouses using tools like Cursor or Claude Code.
Junior Data Engineer
Builds and maintains data pipelines for Indiana state systems using Python, SQL, and ETL tools to clean and transform government datasets.
Snowflake & Python Data Engineer – AWS, SQL & Cloud Data Integration
Build and maintain Snowflake and Python data pipelines that integrate cloud and on-premises data sources to support enterprise analytics and reporting.
PySpark Data Engineer – Python, ETL & Data Warehousing
Build and maintain scalable ETL pipelines and data warehouses using Python, PySpark, and SQL to process structured, semi-structured, and unstructured data for analytics and reporting.
AI & Data Platform Architect
Design and govern enterprise-scale AI-ready data platforms using Azure Databricks, Snowflake, and Delta Lake to enable analytics, GenAI, and ML workloads.
Data Engineer
Build and maintain data pipelines, warehouses, and lakes for a large bank, ensuring accurate, accessible, and secure data processing and analysis.
Data Engineer
Build and maintain data pipelines, warehouses, and lakes for a large bank, ensuring accurate, secure, and accessible data while collaborating with data scientists on ML models.
Senior Engineer (SA1 DES - Azure Data Engineer)
Builds and maintains Azure-based data pipelines, warehouses, and ETL processes using Databricks, Synapse, and Data Factory, and delivers Power BI dashboards for audit analytics.
AI & Data Platform Architect
Designs and governs enterprise-scale data platforms using Azure Databricks, Snowflake, and Lakehouse architecture to enable AI, analytics, and GenAI workloads.
Principal Data Engineer- Databricks & AI platform
Principal Data Engineer designs and scales GoTo’s Databricks Lakehouse (Unity Catalog, Delta Lake, Spark), sets data-pipeline standards, and leads AI-ready infrastructure and migrations.
Manager - Cloud Data Platform Operations
Lead a team to operate and secure enterprise cloud data platforms like Snowflake and Databricks, ensuring reliability, performance, and cost efficiency for analytics and AI workloads.
Amazon Data Engineer, MIDAS, Digital Acceleration
Build and maintain scalable data pipelines and analytics infrastructure on AWS to power Amazon’s digital media businesses and drive product decisions.
Amazon Data Engineer, Sales Data Services
Design and build AWS-based data warehouses and ETL pipelines to consolidate Amazon Advertising sales data, enabling self-serve analytics and reporting for internal teams.
Amazon Data Engineer, Cross Border Science and Analytics
Build and maintain data pipelines and warehouses using SQL, Python, Spark, and Hadoop to support cross-border analytics and customer experience at Amazon.
Amazon Data Engineer, Core Services
Build and maintain Amazon Prime’s data infrastructure, designing ETL pipelines and warehouses to deliver real-time customer insights for marketing, retail, and leadership using AWS technologies.