Data Engineering Jobs in India
There are 2,230 open Data Engineering jobs in India on freehire right now. 751 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 177 · 8%
- Onsite 84 · 4%
Visa sponsorship offered in 37% of the 128 postings that state a position on it.
Seniority
- Senior 684
- Lead 225
- Principal 52
- Staff 46
- C-level 41
- Middle 23
Who is hiring
- 1000+ employees 632
- 501-1000 employees 139
- 51-200 employees 27
- 11-50 employees 15
- 201-500 employees 9
- 1-10 employees 1
Agentic AI / Data Engineer - DC GPU
Build production agentic AI systems and data pipelines on AMD Instinct GPU infrastructure—agent orchestration, memory/context databases, evaluation infrastructure, and skills frameworks—using Python, Kubernetes, and LLM serving stacks like vLLM and SGLang.
Data Engineer | AI & Analytics
Data Engineer at a management consulting firm building scalable production data pipelines from AI prototypes using Azure Data Factory and Python, integrating ERP, databases, Excel, and flat files across client engagements.
Data Engineer II
Data engineer building, designing, and optimizing scalable production data pipelines and ensuring comprehensive datasets for Electronic Arts.
Data Engineer (GCP, Azure)
Artefact is seeking a Data Engineer to build and maintain robust ETL pipelines using Python, SQL, Spark, and Kafka. The role involves integrating cloud services like GCP and Azure and collaborating with teams to deploy machine learning models.
AI & Data Engineer
Builds AI-driven agentic systems that process structured/unstructured data, enabling autonomous reasoning, search, and workflow execution using LLMs, RAG pipelines, and semantic search.
Data Engineer - Data Warehouse, BigData, Python and SQL
Design and build data pipelines and warehouses to handle high-volume processing, integrating complex data structures and ensuring data quality. Work with SQL, AWS tools (Redshift, Glue, EMR), Spark, and Hadoop in a cloud environment.
Lead Data Engineer - GCP
The Lead Data Engineer will design, develop, and maintain scalable data pipelines on Google Cloud Platform using Python and SQL. The role involves optimizing ETL/ELT processes, performing data modeling, and ensuring data quality and governance.
Data Engineer
Build and maintain cloud data pipelines on Azure using Databricks and Medallion Architecture to power analytics and ML for Mercedes-Benz.
Data Engineer
Builds and maintains scalable data pipelines and infrastructure using Azure PaaS tools (ADF, ADLS, Databricks) to enable enterprise-wide analytics and decision-making for a global industrial tech company.
Data Engineer
Data Engineer on Cisco's Enterprise Data Foundation telemetry team, building and optimizing scalable data pipelines with Snowflake, Python, and AWS services to stream product telemetry and enable analytics across Cisco's enterprise portfolio.
