Data Engineer - GCP
Euclid
Data Engineer
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 23 hours ago
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