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 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 683
- Lead 221
- Principal 53
- Staff 46
- C-level 41
- Middle 25
Who is hiring
- 1000+ employees 624
- 501-1000 employees 139
- 51-200 employees 27
- 11-50 employees 15
- 201-500 employees 9
- 1-10 employees 1
Senior Data Engineering - GCP Lead
Lead data engineering projects on GCP, designing pipelines with BigQuery, Dataflow, and Airflow for financial and energy clients.
Senior Data Engineering - PSM-Libra
Build and maintain scalable data pipelines and analytics platforms for financial institutions using big data tools like Spark, Hive, and cloud platforms.
Data Engineer L3
Build and maintain scalable data pipelines for marketing and ad platforms (Meta Ads, Google Ads) using Python, SQL, and cloud tools to track campaign performance and attribution.
QA Lead – Data Engineering & ETL
Lead QA for enterprise data platforms, validating ETL pipelines and data transformations with SQL and automation. Mentor teams and drive quality initiatives across releases.
Data Engineer + Backend
Build and maintain large-scale data pipelines and backend services for media metadata platforms, using Python/Java/Scala, Spark/Flink, and cloud tools.
Data Engineer
Design and maintain data pipelines using Microsoft Azure Databricks, ensuring data quality and ETL processes for seamless migration and deployment across systems.
Data Engineer
Design and maintain data pipelines, warehouses, and lakes for a large bank, modernizing legacy Teradata systems to cloud platforms like AWS, Snowflake, and Databricks while ensuring data accuracy and security.
Data Engineer
Design and migrate data pipelines from legacy Ab Initio systems to modern cloud stacks (AWS, Databricks, Spark) to build scalable, secure data warehouses and lakes for a large bank.
Data Engineer - SO
Design and build a scalable enterprise data lakehouse on Databricks and Azure to power analytics, reporting, and AI/ML across Opella’s global OTC and VMS brands.
Data Engineer
Design and maintain data pipelines and ETL processes using Snowflake Data Warehouse to ensure data quality and enable migration across systems.
Data Platform Engineer
Designs and refines data platform blueprints, collaborates with architects to integrate systems, and optimizes data workflows using SAS Data Integration.
Data Platform Engineer
Designs and refines data platform architecture, collaborating with architects to integrate systems and models using SAS Analytics for enterprise data needs.
Data Engineer
Design and maintain data pipelines and ETL processes using Snowflake Data Warehouse to ensure reliable data flow and quality across systems.
Data Engineer 3
Build and maintain scalable ETL pipelines and data marts using Scala/PySpark, Spark, Kafka, and Azure Databricks to power Amadeus’s travel-tech infrastructure.
Data Engineer
Build and maintain scalable data pipelines using Azure Databricks, Azure Data Factory, and SSIS to support analytics and reporting for a Mumbai-based product team.
Senior MDM Data Engineer
Designs and implements Reltio-based Master Data Management (MDM) solutions for Amgen’s pharma/life sciences data, focusing on data modeling, Lifecycle Actions, Python scripting, and API integrations to ensure golden record accuracy and compliance.
Reference Data Governance Specialist
Build and govern enterprise reference data models, taxonomies, and ontologies for a biotech company, ensuring semantic interoperability and FAIR data principles across scientific and business domains.
Principal Data Engineer
Principal Data Engineer builds and maintains Snowflake-based data pipelines and models for Autodesk Finance, enabling reporting, AI agents, and analytics for financial decision-making.
Azure Data Engineer
Azure Data Engineer responsible for designing, developing, and maintaining data infrastructure and systems, including data pipelines and models, using Azure, ADF, ADLS2, Databricks, Python, and PySpark technologies.