Data Engineering Jobs in India
There are 2,233 open Data Engineering jobs in India on freehire right now. 758 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 303 · 14%
- Remote 178 · 8%
- Onsite 84 · 4%
Visa sponsorship offered in 36% of the 127 postings that state a position on it.
Seniority
- Senior 688
- Lead 223
- Principal 53
- Staff 47
- C-level 41
- Middle 25
Who is hiring
- 1000+ employees 628
- 501-1000 employees 139
- 51-200 employees 27
- 11-50 employees 15
- 201-500 employees 9
- 1-10 employees 1
Azure Data Engineer
Designs and builds data pipelines on Azure, using SQL, Python, and PySpark to move and transform data in Data Lake, Synapse, and Data Factory.
Job Posting Title Sr. Data Engineer – Enterprise Knowledge Engineering
Build and maintain enterprise knowledge services—vector databases, semantic search, and governance—to power Amgen’s AI solutions using Databricks, Spark, and AWS.
Amazon Data Engineer, Conversational Shopping Data Engineering
Build and maintain data pipelines and warehouses (Redshift, EMR, S3) to power analytics and insights for Amazon’s ecommerce operations.
Data Engineer
Builds and maintains ETL/ELT pipelines and Medallion-architecture data layers using Python, PySpark, C#, and Microsoft Fabric to support analytics and BI in a hybrid cloud environment.
Power BI - Data Engineer
Builds and maintains Power BI dashboards, DAX models, and Azure-based ETL pipelines to turn enterprise data into interactive analytics and reports.
Data Engineer
Design and maintain data pipelines, warehouses, and lakes to ensure accurate, accessible, and secure data processing for Barclays’ Merchant Services systems.
Senior Data Engineer
Build and maintain data pipelines, warehouses, and lakes to ensure accurate, accessible, and secure data processing for a large financial institution.
Architect - Data Engineer
Designs and leads scalable Apache Spark-based data pipelines and distributed processing systems on AWS/GCP for a global fintech data platform.
Team Manager - Data Engineering
Lead a team of data engineers to design and optimize scalable GCP-based ELT/ETL pipelines using dbt, BigQuery, and Python, while enforcing Medallion Architecture and managing Agile delivery.
Data Engineer- Associate- Analytics as Service - Operate
Data Engineer in PwC’s Managed Services team, building and optimizing ETL pipelines with Netezza, DataStage, Oracle GoldenGate and SQL to automate and streamline client operations.
Data Engineer
Serko is a cutting-edge tech platform in global business travel & expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the…
Manager, Data Governance
Lead McDonald's India’s data governance strategy, setting policies and frameworks to ensure data quality, privacy, and compliance across teams.
Senior Data Engineer
Design and maintain scalable data pipelines and curated datasets for analytics and ML at Mastercard, using SQL, Python, Spark, and cloud platforms like AWS and Databricks.
Senior Data Engineer
Designs and builds scalable big-data pipelines in the Hadoop ecosystem (Cloudera, Spark, Iceberg, Airflow) to process and store massive transaction datasets for Mastercard’s global payments platform.
Data Engineer
Builds and maintains data pipelines and dashboards using Alteryx, Tableau, SQL, and Power Platform to deliver analytics and automation for Mastercard’s operations.