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Data Engineer - GCP

Euclid Innovations

Key Responsibilities
  • Design and build scalable ETL/data pipelines using Spark and Python
  • Develop data workflows to ingest, transform, and move large datasets
  • Implement data routing logic to direct data to:
    • GCP (BigQuery, Dataflow, Dataproc)
    • On-prem platforms (DPC)
  • Ensure data quality, validation, and reconciliation across systems
  • Collaborate with data science and platform teams to support predictive model pipelines
  • Optimize performance and scalability for high-volume data processing

Required Skills
  • Strong hands-on experience with Apache Spark / PySpark for large-scale data processing
  • Proficiency in Python for data engineering (ETL pipelines)
  • Experience designing and developing data pipelines / data engineering workflows
  • Solid background in ETL, data ingestion, transformation, and data movement
  • Experience working with big data technologies and handling large datasets (batch/streaming)
  • Experience with cloud platforms - GCP (Google Cloud Platform)
    • BigQuery, Dataflow, Dataproc, GCS (Google Cloud Storage)
  • Experience with data migration / data integration projects
  • Understanding of data pipeline architecture and distributed systems
Vacancy posted 8 hours ago
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