Data Engineer - GCP (Charlotte)

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)
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Experience with cloud platforms – GCP (Google Cloud Platform)
o BigQuery, Dataflow, Dataproc, GCS (Google Cloud Storage)
• Experience with data migration / data integration projects
• Understanding of data pipeline architecture and distributed systems