Data Engineering Jobs in India
There are 2,235 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 37% of the 128 postings that state a position on it.
Seniority
- Senior 688
- Lead 225
- Principal 53
- Staff 47
- C-level 41
- Middle 25
Who is hiring
- 1000+ employees 630
- 501-1000 employees 139
- 51-200 employees 27
- 11-50 employees 15
- 201-500 employees 9
- 1-10 employees 1
Data Engineer II
Designs, builds, and maintains scalable data pipelines and ETL/ELT processes in AWS and Snowflake to feed G2’s software marketplace insights platform.
Senior Data Engineer
Designs and builds ETL pipelines for large-scale medical imaging datasets, processes DICOM/HL7/FHIR metadata, and optimizes AWS-based storage for clinical AI applications.
Lead Site Reliability Engineer, Data Platform - AI/ML Infrastructure
Lead a team to design and maintain cloud and big-data infrastructure for Cisco’s AI/ML platform, ensuring reliability and scalability while collaborating with cross-functional teams.
Senior Data Engineer
Design and build secure, cloud-native data platforms (lakes, warehouses, lakehouses) using Databricks, Snowflake, Azure and AWS, then govern them for analytics, AI, and regulatory compliance.
Power BI / Azure Data Engineer
Build and maintain Power BI dashboards, Azure data pipelines, and cloud analytics solutions using SQL, Python, and Microsoft Fabric to deliver business insights.
Senior GCP Data Engineer
Builds and maintains scalable GCP data pipelines and cloud-native solutions for enterprise analytics and AI, using BigQuery, Dataflow, and Python.
Senior Software Engineer, Data Platform
Build and maintain scalable data pipelines, storage, and tooling for real-time and batch workloads using Kafka, Spark, and Snowflake, while automating operations with AI agents.
Data Engineer
Designs, builds, and maintains data pipelines and ETL processes to collect, process, and migrate data across systems using tools like Data Build Tool.
Data Engineer
Designs, builds, and maintains data pipelines and ETL processes to collect, process, and migrate data across systems using tools like Data Build Tool.
Data Engineer
Designs and maintains scalable data pipelines and ETL processes for Cisco, working with cloud platforms like BigQuery and Snowflake, and tools such as Informatica, DBT, and Python.
Staff Data Engineer
Leads the design and operation of a large-scale cloud data warehouse and lakehouse platform, building pipelines and models that power analytics, reporting, and AI across the business.
Manager- Data Engineer
Build and optimize ETL pipelines in Microsoft Fabric using Python, PySpark, and SQL to move and transform data for analytics and reporting, while collaborating with global teams.
Senior Analyst, Data Governance (Corp Functions)
Senior Analyst in Data Governance at Invesco, Hyderabad, responsible for managing metadata, taxonomy, and governance practices across corporate functions like Finance, HR, and Compliance using tools like Informatica Axon or EDC.
DE&A - AIML - Graph DB Data Engineer
Designs and implements graph databases and ontology models for BFSI use cases, building entity-relationship pipelines and semantic enrichment for AI-driven applications.
DE&A - AIML - Graph DB Data Engineer
Designs and builds graph databases and semantic pipelines for banking/finance use cases, focusing on entity relationships and knowledge graphs with Neo4j and Python.
AWS Data Engineer
Build and maintain AWS-based data pipelines, warehouses, and lakes using Glue, Athena, Lambda, Snowflake, and Airflow to process and analyze financial data securely at scale.