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
Data Engineer on a hybrid contract in Chennai building and optimizing ETL/ELT pipelines from OLTP systems, writing performance-tuned SQL, and working with Amazon Redshift and BI tools.
Data Engineer
Data Engineer building and maintaining data pipelines, data warehouses, and Azure cloud resources to support analytics and ML models for financial services clients.
Data Engineer
Data Engineer at a consulting firm designing and building scalable, cloud-native Big Data and analytics platforms using Azure, Databricks, Spark, and Python for enterprise clients.
Big Data Engineer
Big Data Engineer designing, developing, and optimizing scalable data pipelines using PySpark, Hadoop ecosystem tools (HDFS, Hive, Sqoop), SQL/HiveQL, and workflow orchestration via Airflow or Oozie.
Data Engineer
Build and maintain data pipelines feeding a Databricks lakehouse for an investment division, implementing medallion architecture, security master management, and document intelligence ingestion using Python, PySpark, SQL, and Azure services.
Data Engineer
Senior Data Engineer building enterprise-scale data integration and cloud data platforms using Informatica IICS, Google BigQuery, and SQL, balancing hands-on development with technical leadership.
Data Engineer
Data Engineer at GMG designing and maintaining scalable ETL pipelines using AWS (Glue, Lambda, Athena, Redshift, S3, SNS) and Databricks with PySpark and SQL, with emphasis on performance tuning, cost optimization, and security governance.
Data Engineer
Data Engineer building and operating production data pipelines, lakehouse/warehouse architectures, and CDC pipelines using Python and SQL at IndiaDataHub.
Data Engineer
Data Engineer at HOS Global Foods designing, building, maintaining, and optimizing data solutions using T-SQL, Azure Data Services, data warehousing, and ETL/ELT development to support reporting and analytics across the organization.
Data Engineer
Data Engineer building production AWS data pipelines (ETL, medallion lakehouse, lineage) for Qubitz, an agentic AI platform serving regulated enterprise clients.
Data Engineer
Data Engineer designing and building AWS-based data migration pipelines (S3, Glue, Redshift, Lambda) to move legacy CRM data into Salesforce, working from the Hyderabad office.
Fivetran Data Engineer
Designs, develops, and manages cloud-based data integration pipelines using Fivetran. Works with SQL, cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift, Azure Synapse), and dbt to deliver reliable data for reporting and analytics.
Support Data Engineer
Support Data Engineer troubleshooting and resolving data discrepancies, performing root cause analysis, and ensuring data quality using Python and SQL in Bangalore.
Lead Data engineer
Lead Data Engineer designing and building scalable batch and real-time data pipelines using Scala, Apache Spark, SQL, Kafka, and cloud platforms (AWS/Azure/GCP).
Data Engineer
Mid-Level Big Data Engineer with 4-6 years of experience building and supporting large-scale Big Data applications and cloud-based data pipelines using Python, AWS EMR, Spark, SQL, and AWS cloud services with focus on EMR performance tuning and cost optimization.
Azure Data Engineer
Azure Data Engineer assessing SAP and non-SAP data sources to build business-ready datasets and scalable data pipelines on an Azure Data platform using Databricks, Azure Data Factory, Synapse, Python/PySpark, and Azure DevOps.