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
Lead Databricks Data Engineer
Lead Databricks Data Engineer to own data engineering workstream of a large-scale predictive analytics programme, architecting and leading production-grade data pipelines on Databricks, integrating SAP and Oracle systems into a governed lakehouse, and leading a small engineering team.
Mid/Senior Data Engineer
Build and maintain data pipelines, storage (including vector databases), and a metrics layer to power AI agents for customer support data, using big data tools, Python/PySpark, and cloud data warehouses.
Data Analyst / Data Engineer
Data Analyst/Data Engineer designing analytics architecture, managing databases, writing SQL queries, and automating Power BI reports for stakeholders.
GCP Data Engineer - Vertex AI
GCP Data Engineer building scalable batch and real-time data pipelines on Google Cloud Platform, supporting AI/ML and analytics use cases with BigQuery, Dataflow, Python, and SQL.
Data Engineering Lead
Lead a data engineering team building in-house data foundation products on Azure/Databricks, with ~60% hands-on coding in Python/PySpark/SQL alongside pipeline design, architecture, and people management.
Senior Data Engineer - Pyspark & AWS
Senior Data Engineer building and supporting enterprise data infrastructure using PySpark, AWS (Glue, Lambda, S3, Redshift), and Apache Airflow, with production operations and team mentorship responsibilities.
Azure Fabric Data Engineer | 5 to 8 years | 25 to 28 LPA | Bangalore
An Azure Fabric Data Engineer role focusing on building data solutions using Azure Databricks, Data Factory, PySpark, and SQLDB, requiring DP-203 and Databricks certifications.
[88QURL44] Senior Data Engineer 1(GCP)-F2F Interview-Bangalore
Design, develop, and maintain scalable data pipelines and ETL/ELT solutions on GCP using DBT, Terraform, SQL, and large-scale processing frameworks like Spark/Beam/Hive.