DE&A - Core - Big Data Engineering - ETL

Migration & Architecture
Lead Big Data platform migrations from on‑prem Hadoop / legacy data platforms to GCP
Design target-state architectures using BigQuery, Dataproc, Dataflow, GCS
Define migration strategies (re-host, re-platform, re-engineer)
Modernize ETL pipelines to cloud-native or Spark-based solutions

 

Development & Engineering
Architect and develop large-scale PySpark applications
Refactor existing Spark, Hive, or MapReduce jobs for GCP
Optimize data pipelines for performance, scalability, and cost
Implement batch and streaming workloads on GCP

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