Related skills
bigquery docker etl sql gcp📋 Description
- Design and maintain data pipelines that ingest industrial and historian data into GCP.
- Process and transform large-scale Parquet datasets generated from mining operations.
- Load and optimize data within BigQuery and Bigtable environments.
- Build reliable data integration workflows between OT systems and cloud infrastructure.
- Support machine learning teams by providing clean, accessible, production-ready datasets.
- Help operationalize analytics/ML recommendations back into historian or control environments.
🎯 Requirements
- 5+ years of experience in Data Engineering or Data Platform Engineering.
- Strong experience with Google Cloud Platform (GCP).
- Hands-on experience with BigQuery.
- Hands-on experience with Bigtable.
- Experience building and maintaining production-grade ETL/ELT pipelines.
- Strong SQL skills and experience working with large-scale datasets.
🎁 Benefits
- Remote across South America
- Direct access to technical and executive leadership
- Fast hiring process with direct access to leadership
- Opportunity to work on real-world mining data challenges
- Collaborative, specialized team focused on operational optimization
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