Data Engineer

What You Will Work On

As part of our core engineering team, you will:

• Design, build, and scale data pipelines that power our Healthcare Data Fabric
• and AI-driven applications.
• Work with data processing frameworks like Apache Spark, Databricks & dbt
• to transform and manage large-scale multi-modal healthcare data.
• Engineer data models and hybrid retrieval systems across Iceberg, Hive, Delta Lake, in
• conjunction with vector and graph databases to support analytical and agentic queries.
• Build and optimize real-time and batch processing frameworks for high-performance
• data access.
• Collaborate with teams to ensure seamless data flow while ensuring and implementing
• data quality, observability pipelines and lineage tracking.

What Were Looking For

• Strong programming skills in – Python (preferred), Go
• Hands-on experience with Spark, Databricks, and dbt for building and managing
• data workflows at scale.
• Familiarity with schema evolution, metadata management, and data versioning within
• Iceberg, Hive, or Delta Lake environments.
• Hands-on experience with SQL/NoSQL databases, vector databases, and graph
• stores (Neptune, Neo4j, Kuzu).
• Solid understanding of data modeling for analytical (OLAP) and transactional
• (OLTP) systems.