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
Data Engineer (ETL, ADF)
Designs and maintains ETL pipelines using Azure Data Factory and SQL, optimizing data warehouse performance and troubleshooting data quality issues for enterprise reporting.
IN_Senior Associate_Data Engineering_Emerging Business_Advisory_Bangalore
Designs and maintains AWS-based DevOps infrastructure, CI/CD pipelines, and Kubernetes clusters for PwC’s Advisory team, focusing on automation, scalability, and observability for client solutions.
Data Engineer
Design and maintain data pipelines, warehouses, and lakes for a large bank, ensuring accurate, secure, and accessible data while collaborating with data scientists to deploy ML models.
Expert - Data Steward
Data steward defining and enforcing data standards, quality rules, and governance policies for life-sciences systems in Hyderabad, using Python, SQL, and visualization tools.
Senior Data Engineer
Design and build scalable data pipelines and warehouse models to deliver trusted insights from product and corporate systems to Salesforce teams using ETL, SQL, and big-data tech.
Data Platform Engineer
Designs and refines data platform blueprints, integrates systems and data models, and optimizes pipelines using SAS Data Integration.
Principal Data Engineer
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
Senior Data Engineer
Design and maintain Snowflake-based data pipelines and models for Finance BI, enabling reporting, dashboards, and AI-driven analytics for Autodesk’s financial operations.
Principal Data Engineer
Design and maintain Snowflake-based data pipelines and models for Finance BI, supporting reporting, AI agents, and LLM-powered analytics for Autodesk’s global operations.
Data Engineer
Build and optimize Python-based data pipelines and ETL processes for a large banking client, using SQL, Pandas, PySpark, and cloud tools to ingest, transform, and deliver high-quality data.
Data Engineer (SQL, PySpark, Snowflake, DBT, Redshift) - AVP/VP
Build and maintain scalable data pipelines on AWS using PySpark, Snowflake, and Apache Iceberg to power analytics and business decisions in KKR’s insurance systems.
Insurance Data Engineering - Data Engineer
Build and maintain scalable data pipelines on AWS for KKR’s insurance systems using Apache Iceberg, Spark, and Snowflake to power analytics and business decisions.
Manager – Data Governance & Metadata Management
Lead enterprise data governance, metadata management, and data quality using Microsoft Purview, Snowflake, and Talend to ensure secure, compliant, and accurate data across the organization.
Data Engineer
Builds and maintains data pipelines and cloud infrastructure to support AI/ML services for enterprise clients using AWS.
Data Engineer
Build and maintain scalable data pipelines using Databricks, Kafka, and Delta Lake to power digital twin platforms, real-time systems, and AI workloads.
Semantic Data Engineer
Builds and maintains a semantic layer for AI agents, transforming raw telecom data into trusted, agent-consumable metrics using SQL, dbt, and MCP servers.