Data Engineering Jobs in India
There are 2,224 open Data Engineering jobs in India on freehire right now. 744 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 68%
- cloud 68%
- data-engineering 67%
- data-pipelines 65%
- analytics 59%
- etl 57%
- data-quality 53%
How the work is done
- Hybrid 300 · 13%
- Remote 178 · 8%
- Onsite 85 · 4%
Visa sponsorship offered in 37% of the 130 postings that state a position on it.
Seniority
- Senior 684
- Lead 222
- Principal 51
- Staff 46
- C-level 40
- Middle 23
Who is hiring
- 1000+ employees 636
- 501-1000 employees 139
- 51-200 employees 27
- 11-50 employees 15
- 201-500 employees 9
- 1-10 employees 1
Senior Data Engineer
Design, build, and maintain the analytics data layer—pipelines (Airflow), warehouse (BigQuery), and ETL—on GCP, applying software engineering best practices to deliver BI solutions.
Senior Data Engineer
Lead Data Engineer building end-to-end data platforms using Medallion architecture, dbt, Python, and cloud services (AWS/GCP/Azure) for client engagements, with hands-on coding, architectural decisions, and mentoring responsibilities.
SDE-IV _ Data Engineer
Tech Lead / SDE IV owning batch and real-time data pipelines for a programmatic advertising DSP, processing billions of bid-stream events daily with Kafka, Flink, StarRocks, and Python/Java/Scala, while also architecting backend microservices and mentoring engineers.
Senior Data Engineer
Senior Data Engineer designing and implementing Azure data solutions, migrating legacy SSIS packages and on-premises workloads to Azure cloud using Data Factory, Synapse, Databricks, ADLS, Python, and SQL.
Senior Data Engineer
Senior Data Engineer designing and maintaining Snowflake-based ETL/ELT pipelines with SnapLogic and dbt, working US hours from Hyderabad.
Senior Data Engineer
Senior Databricks Engineer automating platform operations, CI/CD pipelines, and multi-environment deployments using Databricks, PySpark, SparkSQL, and Azure cloud services.
Senior Data Engineer
Senior Data Engineer building real-time data ingestion/processing pipelines and large-scale enterprise data solutions using PySpark, Python, Airflow, SQL, and AWS big data services.
Senior Data Engineer
Lead Azure Databricks Engineer designing, building, and optimizing scalable ETL/ELT data pipelines using Azure Databricks, PySpark, SQL, and Python on the Azure platform.
Senior Data Engineer
Senior Data Engineer designing and building scalable data pipelines with Apache Spark, Scala, and Java, plus microservices and Redis caching in distributed environments.
L3 Support Data Engineer
L3 Support Data Engineer responsible for troubleshooting data discrepancies, performing root cause analysis, and ensuring data quality across systems using Python and SQL in a cross-functional team environment.
Senior Data Engineer
Support and improve the Databricks enterprise platform and ETL pipelines through automation, monitoring, and AI-driven initiatives, using Python, Spark/PySpark, SQL, and AWS services in a hybrid SRE-focused role.
Senior Data Engineer
Lead and hands-on build data & analytics solutions using Databricks, Informatica, and Tableau on AWS for Eisai's global pharmaceutical data platform, driving BI, AI, and data democratization.
Data Engineer [T500-28220]
Data Engineer designing, building, and supporting scalable data pipelines and integration solutions using Databricks, Spark/PySpark, SQL, and Azure data services for a major North American bank's tech hub in Hyderabad.
Senior Data Engineer
Design and build data pipelines and data models on Azure, Databricks, Snowflake, and Postgres to support AI/ML and computer-vision workflows for a digital transformation services company.
Senior Data Engineer
Senior Data Engineer building and maintaining data pipelines, data warehouses, and BI dashboards primarily on Azure and Microsoft Fabric using SQL, Python, and PySpark.
Senior / Lead Data Engineer
Lead Data Engineer designing and building scalable data pipelines and ETL/ELT architectures on cloud platforms using Apache Spark, SQL, and Python.
AWS Databricks Data Engineer
Data Engineer building scalable ETL pipelines using Databricks on AWS/Azure, with Python/PySpark and SQL, plus API integrations, SFTP ingestion, and monitoring workflows.
Sr. Informatica IDMC Data Engineer
Build and optimize enterprise data integration pipelines using Informatica IDMC (CDI/CAI), SQL, Python, and Unix/Linux scripting in an offshore delivery environment.
Senior Data Engineer
Senior Data Engineer building scalable cloud data pipelines and modernizing enterprise data platforms using Python, SQL, and cloud services (Azure/AWS/GCP) with tools like Databricks, Snowflake, and Spark.