Software Engineering LMTS- Big Data Engineer
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Die Stelle
Lead the architecture, design, development, and support of mission-critical data and platform services with full ownership.
Drive self-service, metadata-driven data pipelines and apps to ingest data from diverse sources into a multi-cloud, petabyte-scale data platform.
Collaborate with product management and client teams to capture requirements and deliver scalable, adaptable solutions.
Architect robust data solutions that enhance ingestion, processing, quality, and discovery, embedding security and governance from the start.
Promote a service ownership model with extensive telemetry and control mechanisms to streamline governance and operations.
Develop, refine, and maintain CI/CD processes and key platform components (Airflow, Spark, Trino, Iceberg, Kubernetes) across cloud environments while enabling data lifecycle tooling.
Drive self-service, metadata-driven data pipelines and apps to ingest data from diverse sources into a multi-cloud, petabyte-scale data platform.
Collaborate with product management and client teams to capture requirements and deliver scalable, adaptable solutions.
Architect robust data solutions that enhance ingestion, processing, quality, and discovery, embedding security and governance from the start.
Promote a service ownership model with extensive telemetry and control mechanisms to streamline governance and operations.
Develop, refine, and maintain CI/CD processes and key platform components (Airflow, Spark, Trino, Iceberg, Kubernetes) across cloud environments while enabling data lifecycle tooling.
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