Senior Data Engineer-Data Bricks, Airflow, Snowflake, AI

About the role

Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale.

What you'll do

• Design, develop, and maintain scalable data pipelines using Databricks (Spark / PySpark)
• Orchestrate and monitor workflows using Apache Airflow for batch and incremental processing
• Build and optimize ELT pipelines in Snowflake, ensuring performance, reliability, and cost efficiency
• Develop production-quality Python code for data processing, transformations, and integrations
• Design, build, and host APIs and data services using modern Python frameworks

What you need

• 4–7 yrs of experience
• Airflow
• Snowflake
• Python
• ETL
• Spark
• Databricks
• MCA or B.Tech or B.E.

Good to have

• SQL
• CI/CD
• Git
• Data modelling
• Data warehousing
• Azure