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 59%
- 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 684
- Lead 221
- Principal 53
- Staff 47
- C-level 41
- Middle 25
Who is hiring
- 1000+ employees 626
- 501-1000 employees 139
- 51-200 employees 27
- 11-50 employees 15
- 201-500 employees 9
- 1-10 employees 1
Data Engineer
Build and maintain cloud-native data pipelines and warehouses to feed AI-driven automotive analytics and marketing tools for U.S. dealerships.
Senior Data Engineer
Senior Data Engineer builds and maintains data pipelines and warehouses for a large bank, enabling deeper analysis and reporting while ensuring compliance.
Data Platform Engineer
Designs and refines a Databricks-based data platform, collaborating with architects to integrate systems and models while optimizing performance and scalability.
Data Engineer
Design and maintain data pipelines, ETL processes, and graph databases to ensure reliable data flow and quality for large-scale systems.
Data Engineer
Design and maintain data pipelines, ETL processes, and BI solutions using MicroStrategy to ensure data quality and system integration for enterprise clients.
Data Engineer
Design, build, and maintain data pipelines and ETL processes to move and transform data across systems while ensuring quality and scalability.
Data Engineer
Design and maintain data pipelines, ETL processes, and scalable architectures to ensure high-quality data processing and migration across systems.
Data Engineer
Design, build, and maintain data pipelines and ETL processes to move and transform data across systems while ensuring quality and reliability.
Data Engineer
Design and maintain data pipelines and ETL processes using graph databases to ensure data quality and integration across systems.
Data Engineer
Design and maintain data pipelines, ETL processes, and data models to ensure reliable data flow and quality across systems for a global professional services firm.
Data Engineer
Design and maintain data pipelines, ETL processes, and cloud-based data solutions using AWS AI Services to ensure data quality and integration.
Data Engineer
Designs, builds, and maintains data pipelines and ETL processes on Microsoft Azure and Databricks to move, transform, and ensure quality of large datasets for analytics and reporting.
Data Engineer
Design and maintain data pipelines using AWS Glue to extract, transform, and load data across systems while ensuring quality and scalability.
Data Engineer
Design and maintain data pipelines, ETL processes, and data quality systems to support analytics and decision-making using Python/R and cloud platforms.
Data Engineer
Design and maintain data pipelines using Apache Kafka to process and migrate data across systems, ensuring quality and performance for downstream analytics.
Data Engineer
Build and maintain scalable data pipelines using dbt and Fivetran to transform and integrate enterprise data for analytics and reporting.
Amazon Data Engineer, Amazon Payment Products
Designs and builds large-scale data pipelines and warehouses for Amazon’s payment products, enabling analytics and reporting on financial transactions and services.
IN_Senior Associate_AWS Data Engineer _Data Analytics_ Advisory_ Bangalore
Build and maintain AWS-based data pipelines and warehouses using Glue, Redshift, and S3 to enable analytics and reporting for clients.