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
GCP Data Engineer (Need Immediate Joiners)
GCP Data Engineer on an EST hybrid shift in Noida, designing data warehouse solutions, building ETL/ELT pipelines, and developing BI reporting for a US-based media client.
Power BI Lead | Data Engineering
Power BI Lead responsible for designing reporting and analytics solutions using Power BI, developing ETL/data pipelines with SQL Server, SSIS, SSRS, and SSAS, and providing technical guidance to BI/Data Engineering developers.
Senior / Data Engineer (Data Architecture, Modeling & Modern DWH)
Architect and build dimensional and Lakehouse data models, plus robust ETL/ELT pipelines, using Databricks or Snowflake, PySpark, SQL, and Azure/AWS cloud services.
Freelance Opportunity Senior Data Engineer
Freelance Senior Data Engineer designing scalable AWS data pipelines, ETL processes, and data warehouses using AWS Glue, Snowflake, Python/PySpark, and Terraform.
Data Engineering Technical Lead
Technical Lead driving the migration of Microsoft/Azure data platforms to Databricks, providing hands-on mentorship, architecture oversight, and pipeline development for the data engineering team.
Azure Data Engineer | 6+ Yrs | Any UST India Location | Immediate Joiner
Azure Data Engineer building ETL/ELT pipelines and data warehousing solutions using Azure Databricks, Data Factory, Synapse Analytics, and Spark technologies.
Data Engineering Lead
Lead Data Engineer at IndusInd Bank in Mumbai, architecting and building a cloud-native Azure Databricks data platform with PySpark, leading a team of data engineers and analysts to deliver scalable lakehouse architectures and BI solutions.
Senior AWS Data Engineer (Remote)
Lead an AWS-based data platform—designing metadata-driven ingestion pipelines from S3 through Redshift, owning orchestration in Airflow, governance via Lake Formation, and mentoring engineers—using AWS, Python, SQL, and Airflow.
Data Engineering Consultants
Data Engineering Consultant at Infosys Consulting, designing and developing data pipelines using Python/PySpark on AWS within the Automation & AI Consulting Practice, collaborating with AI consultants and stakeholders across client engagements.
Data Engineer [T500-28901]
Designs, builds, and supports data solutions for reporting, analytics, and business decisions using AWS cloud platforms, SQL, Python, and ETL/ELT processes to ensure data accuracy and security.
Senior Data Engineer
Senior Data Engineer designing and building data pipelines, data warehouses, and ETL/ELT processes on Azure, using SQL, Python, Spark, and tools like Data Factory, Databricks, and dbt.
Senior Data Engineer
Senior Data Engineer building data products and BI/analytics solutions for a real-estate investment manager, using Snowflake, SQL, dbt, and ETL tools in an Agile team.
Senior Data Engineer
Senior Data Engineer designing and maintaining real-time and batch data pipelines for SMC Global Securities' financial services and trading platforms, using SQL, Python, AWS (S3, Redshift, Athena, Glue, EMR, Lambda), Airflow, DBT, and Spark within Data Lakehouse architectures.
Data Engineer - Analytics Team
Data Engineer building and optimizing ETL/ELT pipelines with SQL and Python to create analytics-ready datasets for the Analytics team.