Data Engineering Jobs in India
There are 2,221 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
Data Engineer
Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and API integration solutions using SQL, REST APIs, and cloud platforms (Azure/AWS) to support enterprise data and automation initiatives.
Data Engineer
Data Engineer building and optimizing Snowflake-based data pipelines and ETL/ELT workflows for banking/financial services clients. Core tech: Snowflake, SQL, Python, and cloud platforms (AWS/Azure/GCP).
Data Engineer
Senior/Lead Data Engineer designing and developing scalable ETL data pipelines using Azure Databricks, Data Factory, Data Lake, Synapse, and Azure SQL DB, with SQL, Python, and PySpark.
Data Engineer
Designing, developing, and optimizing scalable data pipelines, data models, and analytics solutions using DBT, AWS, Snowflake, Redshift, and Tableau.
Data Engineer
Architect and maintain enterprise-grade ELT/ETL data pipelines using Python, PySpark, Kafka, and Databricks for large-scale banking risk data, while building GenAI agents and deploying microservices on Kubernetes/OpenShift.
Data Engineer
Snowflake Developer/Engineer responsible for building ETL pipelines with Python and Snowflake SQL, migrating SAP data warehouses to Snowflake, and leading data analytics teams across client projects.
Data Engineer
Data Engineer designing and managing ETL pipelines and data infrastructure for a consumer tech company focused on short-form vertical content. Core tech: SQL, Python, Airflow, dbt, cloud data platforms (AWS/GCP), data warehouses, and streaming tools.
Data Engineer
Data Engineer developing scalable ETL/ELT pipelines, Azure Data Factory workflows, and Snowflake data warehouse solutions using PySpark, Databricks, and Delta Lake architecture to support BI and AI initiatives.
Data Engineer
Data Engineer designing and maintaining Spark/PySpark ETL pipelines on AWS (S3, Glue, Redshift, Athena), building BI dashboards, and optimizing cloud costs and query performance.
Data Engineer
Data Engineer designing and optimizing Azure-based data pipelines (Databricks, SQL Server, Data Factory) with SQL and Python/PySpark, collaborating with Finance and Portfolio teams.
Data Engineer
Build and maintain an enterprise data lake on BigQuery, design ETL pipelines in Python across ERP/CRM sources, and develop ML forecasting models and AI agents using LLM APIs.
Data Engineer
A Data Engineer who builds and optimizes scalable data solutions on Microsoft Azure using Azure Data Factory, Databricks, PySpark, and Synapse Analytics. The role focuses on developing ETL/ELT pipelines, modern Lakehouse and data warehouse architectures, data integration, and ensuring performance, quality, security, and governance.
Data Engineer
Data Engineer owning ELT/ETL pipelines, data models, and quality controls for cloud data platforms, with secondary responsibility for production ML pipelines powering a shopping cart computer-vision classifier. Core tech: SQL, Python, Azure/GCP, Airflow/Prefect, Spark/Databricks.
Data Engineer
Data Engineer / Data Scientist building data pipelines, ML models, and production ML solutions using Python, PySpark, SQL, Databricks, and MLflow at an IT consulting firm in Bhopal.
Data Engineer
Data Engineer designing, developing, and maintaining scalable ETL/ELT pipelines, data warehouses, and data lakes using SQL, Python, and Big Data technologies (Spark, Databricks) on Azure/cloud platforms for an Azure-focused managed services company.
Data Engineer
Data Engineer responsible for database/data warehouse development, data pipeline creation using Azure and Snowflake, data lake development, and building dashboards in Power BI/Tableau. Core technologies include SQL, Python, Azure (Data Factory, Databricks), and Snowflake.
Data Engineer
Design, build, and maintain scalable ETL data pipelines and data models on cloud platforms using SQL and Python/Java/Scala, collaborating with analysts and scientists in an on-site Hyderabad role.