Senior Data Engineer - Spark, Iceberg & Lakehouse
Summary
Builds and optimizes data ingestion, transformation, and consumption pipelines on a modern on-prem lakehouse using Spark-based ETL/ELT, Apache Iceberg tables, and Informatica integrations, enabling analytics with Denodo, Starburst, or Dremio. Requires 5-10 years of experience, full-time on-site in Saudi Arabia.
Datamatics-Global-Services-Ltd is seeking a Data Engineer to build and optimize data ingestion, transformation, and consumption on a modern on-prem lakehouse. You'll work with Spark-based ETL/ELT workloads, Iceberg tables, and Informatica-based integrations, enabling analytics with Denodo, Starburst, or Dremio.
The role requires 5–10 years of hands-on experience with Spark, Informatica, and enterprise data platforms, in a full-time on-premises environment in KSA.
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