Senior Data Engineering – Hyderabad
Join a global team using technology to improve health outcomes for millions. You will build scalable data solutions connecting people with the care they need, advancing health optimization within an inclusive culture.
What You’ll Do
Design and optimize cloud-native ETL/ELT pipelines for large-scale processing.
Build efficient data workflows using PySpark and SQL.
Develop scalable data models to support business intelligence.
Integrate data sources into Google Cloud Platform or Microsoft Fabric.
Ensure data quality, validation, and governance across workflows.
Translate business requirements into technical data solutions.
Enable analytics integration with Power BI and Looker.
What You Need
Experience building production-grade ETL pipelines and data systems.
Hands-on experience with Google Cloud Platform or Microsoft Fabric.
Proficiency with data processing frameworks like Dataflow and Spark.
Advanced proficiency in SQL and Python (PySpark).
Strong understanding of data warehousing concepts.
Experience building pipelines for business intelligence reporting.
Good to Have
Experience with Open Telemetry (OTel) Collector for telemetry ingestion.
Knowledge of distributed tracing, including traces, spans, and context propagation.
Familiarity with Google Cloud Trace for monitoring cloud-based pipelines.
The Opportunity
This role allows you to influence global health outcomes by building critical data infrastructure. You will join a large-scale enterprise focused on dismantling barriers to equitable care.