- 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
- Robust 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.
📌 Data Engineer (Bengaluru)
🏢 Dash Ast Technology
📍 Bengaluru
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