Work as part of a GCP implementation team from concept to operations
Provide deep technical subject matter expertise for successful deployment of Data Platform automation
Provide technical guidance, mentorship, and code-level support to the development team
Drive effective and efficient delivery, focusing on speed, identifying risks, implementing mitigation/contingency plans and test/compare competing solutions
Design and build production data engineering solutions to deliver our pipeline patterns using GCP Services
Ensure data quality, maintain profiles of data products, monitor system performance

Experience in data engineering pipelines
Experience in data warehouse systems
Experience with ETL principles
Experience with complex SQL queries
GCP experience working in Big Data deployments leveraging BigQuery, Google Cloud Storage, Dataflow, Dataproc, Cloud Run
Familiarity with Python, VS Code, GitHub, Tekton, and Terraform
Experience with DAGs with Astronomer and Apache Airflow
GCP Certification Preferred
Professional Data Engineer or Associate Cloud Engineer
Experience in Qlik Sense, Looker, and Power BI preferred but not required
Understands data architecture and design independent of the technology
Experience working with Agile and Lean methodologies
Experience with Test-Driven Development
Problem solving and communication skills and management of multiple stakeholders
Ability to provide analytic and creative solutions to business problems by deep-dives into data

Senior Data Engineer

Key skills