Senior Data Engineer – AWS & Databricks

About the role

We are seeking a highly skilled Senior Data Engineer with strong hands-on experience in AWS and Databricks to design, implement, and optimize scalable data pipelines and analytics solutions. The ideal candidate should have deep expertise in Apache Spark, ETL design, cloud-native data engineering , and modern data governance practices.

What you'll do

• Design, develop, and optimize ETL pipelines using Databricks and Apache Spark
• Build scalable and efficient data models and schemas
• Collaborate with data scientists to support ML model deployment
• Ensure data quality, consistency, reliability, and governance
• Optimize SQL queries and troubleshoot performance bottlenecks

What you need

• 6–10 years in data science & ai
• AWS
• Databricks
• SQL
• ETL
• Python
• Spark
• Any graduate

Good to have

• GCP
• Azure
• Data warehousing
• Machine learning
• Unity
• Scala

What you get

• ₹17 L a year