Apply the knowledge of data characteristics and data supply pattern, develop rules and tracking process to support data quality model
Prepare data for analytical use by building data pipelines from multiple sources and systems
Integrate, consolidate, cleanse and structure data for use by our clients in our solutions
Stay up-to-date with trends in GCP and related technologies, proposing new solutions
Understand best practices for data management, maintenance, reporting and security
Implement security best practices in pipelines and infrastructure
Develop and implement data quality checks and troubleshoot data anomalies
Provide guidance and mentorship to junior data engineers.
Review dataset implementations performed by junior data engineers.

BS degree in a STEM major or equivalent discipline; Master’s Degree strongly preferred
5+ years of experience as a data engineer or related role
Cloud certification strongly preferred
Advanced skills using programming languages such as Python or SQL and intermediate level experience with scripting languages
Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts
Experience building and maintaining moderately-complex data pipelines, troubleshooting issues
Experience designing and implementing moderately complex data models
Demonstrates advanced Git usage and CI/CD integration skills

comprehensive compensation and healthcare packages
401k matching
paid time off
organizational growth potential through our online learning platform with guided career tracks

Generative AI Engineer

Key skills