Senior Data Engineering Analyst

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

• Data Engineering & Pipeline Development Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting batch and streaming workloads
• Build and optimize data ingestion frameworks using technologies such as Apache Spark, Kafka, and cloud-native services
• Integrate data from multiple internal and external source systems while ensuring data quality, consistency, and governance
• Develop and maintain data orchestration workflows to ensure reliable delivery of business-critical datasets
• Data Architecture & Modeling Design and optimize data warehouses, data lakes, and lakehouse architectures

What you need

• 4–7 yrs of experience
• SQL
• ETL
• Python
• Spark
• Kafka
• Machine learning
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• AWS
• MLOps
• Redshift
• Vulnerability assessment
• Kubernetes
• Docker