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Data Engineer - GCP

Euclid Innovations

Charlotte, NC

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JOB DETAILS
SKILLS
Apache Spark, Big Data, Cloud Computing, Cloud Storage, Data Management, Data Migration, Data Processing, Data Quality, Data Science, Data Sets, Database Extract Transform and Load (ETL), Distributed Computing, GCP (Good Clinical Practices), Performance Tuning/Optimization, Predictive Modeling, Python Programming/Scripting Language, Reconciliation, Scalable System Development, Software Engineering
LOCATION
Charlotte, NC
POSTED
30+ days ago
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

About the Company

E

Euclid Innovations

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