Data Engineering Jobs in India
There are 2,218 open Data Engineering jobs in India on freehire right now. 747 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 · 14%
- Remote 177 · 8%
- Onsite 85 · 4%
Visa sponsorship offered in 36% of the 129 postings that state a position on it.
Seniority
- Senior 682
- Lead 223
- Principal 51
- Staff 46
- C-level 40
- Middle 23
Who is hiring
- 1000+ employees 632
- 501-1000 employees 138
- 51-200 employees 27
- 11-50 employees 15
- 201-500 employees 9
- 1-10 employees 1
Senior Data Engineer
Senior Data Engineer leading BI Analytics & DWH initiatives—designing ETL/ELT pipelines, data models, and scalable data platforms using Snowflake, Databricks, Azure Data Factory, and Python, while mentoring engineers and partnering with BI teams.
Senior Data Engineer
Senior Data Engineer building and optimizing large-scale data pipelines on cloud platforms (Snowflake, Databricks) using SQL and Python, with a focus on ETL/ELT implementation and modernization in Hyderabad.
Azure Data Engineer
Build and maintain scalable cloud data platforms using Azure and Databricks, developing ETL/ELT pipelines with SQL and Python/PySpark in a senior individual contributor role.
Senior Data Engineer
Senior Data Engineer building secure, automated, scalable GCP data pipelines using Python, Apache Airflow, Apache Druid, and Spark for a global ad-tech DSP platform.
Data Engineer - Data build tool
Data Engineer designing and maintaining scalable data pipelines using dbt Cloud, Apache Airflow, and GCP BigQuery for a Big 4 firm in the Financial Services domain.
Databricks Data Engineer
Databricks-focused Data Engineer/Solution Architect embedded in client teams to architect, build, and optimize enterprise Databricks Lakehouse platforms using Medallion Architecture, Spark, Delta Live Tables, Unity Catalog, and CI/CD pipelines across multiple concurrent engagements.
Senior Data Engineer
Senior Data Engineer leading enterprise-scale data engineering initiatives, designing data warehouses and data lakes on AWS, and building ETL/ELT pipelines with PySpark, Apache Airflow, and SQL.
Senior Data Engineer
Design and develop scalable data engineering pipelines using Databricks, PySpark, Python, and SQL, building data ingestion, transformation, and analytical data models with a focus on big data processing and performance optimization.
Databricks Data Engineer
Design, build, and maintain scalable cloud-based data pipelines using Databricks, Apache Spark, Python, and SQL for Energy Trading & Risk Management clients.
Senior Data Engineer
Senior Data Engineer leading the re-engineering and validation of an existing Azure Synapse enterprise data platform and driving its migration to Databricks, focused on reverse-engineering complex pipelines, ensuring data governance, and implementing lakehouse architectures.
GCP Data Engineer
GCP Data Engineer designing, developing, and optimizing scalable cloud-based data pipelines using Google Cloud Platform, BigQuery, DBT, and Apache Airflow. The role requires 5+ years of experience in data engineering and expertise in building ELT/ETL pipelines.
Lead Data Engineer
Lead Data Analytics Engineer defining, building, and evolving the analytics data layer (warehouses, pipelines, data products) on GCP using BigQuery, Cloud Composer, Dataflow, and Python/SQL, while establishing engineering best practices and mentoring data engineers.
Senior Data Engineer
Senior Azure Data Engineer building scalable data and AI solutions, focusing on Azure Databricks, Python, Azure AI Foundry, LLMs, and Medallion Architecture.
Senior Data Engineer
Analyze existing Power BI reports, Alteryx workflows, and SQL queries to understand the reporting ecosystem and document end-to-end data lineage and source-to-target mappings.
Senior Data Engineer
Lead/Senior Data Engineer designing and delivering scalable data pipelines and platforms using Python, Scala, Spark, and SQL, while mentoring a team and collaborating cross-functionally.
Senior Data Engineer
Senior Data Engineer building data reconciliation frameworks and ETL/ELT pipelines to ensure financial data integrity across multiple systems, primarily using SQL and data warehousing technologies.
Senior Data Engineer
Senior Data Engineer designing, building, and optimizing scalable ETL/ELT pipelines using PySpark, SQL, and Python, with a strong emphasis on Dataiku (DataIQ) integration and cross-functional stakeholder collaboration.