Data Engineering Lead

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

• Work with solution architects and other software engineers to evaluate functional and non-functional requirements and deliver creative, high-quality solutions
• Design, develop, test and maintain data intensive applications including ETL, relational and non-relational data storage, data application development
• Leverage AIDLC & design Agentic data engineering solution by using available Gen AI & LLM models
• Follow and improve on processes for continuous delivery and DevOps within your team
• Build and main configuration management and automation tools, deployment strategies/processes, monitoring tools

What you need

• 5–9 yrs of experience
• Python
• ETL
• LLMs
• Data warehousing
• Spark
• Azure Data Factory
• B.Tech or B.E.

Good to have

• Databricks
• Snowflake
• Azure
• SQL Server
• Test automation
• Git