Senior Data Engineer – Databricks

Location: Bangalore, Karnataka
Experience: 4–10 Years
Job Type: Full time

Job Summary

Datainfa is looking for an experienced Senior Data Engineer with robust hands-on expertise in Databricks to join our engineering team in Bangalore.

The successful candidate will be responsible for developing scalable data pipelines, working with AWS data services, integrating APIs, managing databases and supporting modern data products.

Key Responsibilities

- Design and develop scalable data pipelines using Databricks
- Develop and optimize data engineering workflows
- Work with AWS services including S3, Glue, Lambda and API Gateway
- Develop data solutions using Python and SQL
- Work with RDS, PostgreSQL and other relational databases
- Build and maintain API-based data integrations
- Develop and support data products
- Troubleshoot and optimize data pipelines and processing jobs




- Collaborate with cross-functional teams to understand data requirements
- Contribute to modern data engineering and AI-enabled solutions

Required Qualifications

- 4–10 years of professional experience in Data Engineering
- Strong hands-on experience with Databricks is mandatory
- Strong Python programming skills
- Strong SQL skills
- Experience with AWS data services:
- Amazon S3
- AWS Glue
- AWS Lambda
- API Gateway
- Experience with RDS / PostgreSQL / SQL databases
- Experience working with APIs
- Good understanding of data engineering concepts and data pipelines
- Experience working with data products

Pay: ₹2,500,000.00 - ₹3,000,000.00 per hour

Work Location: Remote

📌 Senior Data Engineer (India)
🏢 A2R GLOBAL
📍 India