Category: Google Cloud Data Engineer / Cloud Engineer
Tenure: No Preference/Any
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Description
You will design, build, and operationalize large-scale enterprise data solutions on Google Cloud Platform.
Responsibilities
Design and implement production data pipelines from ingestion to consumption within hybrid big data architectures.
Re-architect and re-platform on-premise data warehouses to GCP cloud platforms.
Perform detailed assessments of current state data platforms to create transition paths to GCP.
Implement data engineering, ingestion, and curation functions using GCP native or custom programming.
Lead design workshops to provide technical tradeoffs and recommendations for client solutions.
Required Skills
3+ years designing and building enterprise data solutions using GCP services (Cloud DataProc, Cloud Dataflow, Apache Beam, BigTable, BigQuery, Cloud PubSub, or Cloud Functions).
1+ years of experience re-platforming on-premise data warehouses to GCP.
1+ years of experience building production data pipelines using Java, Python, or Scala.
1+ years of experience implementing data ingestion and curation functions on GCP.
1+ years of experience performing data platform assessments and GCP transition planning.
Hands-on experience with at least one GCP solution implemented at production scale.
2+ years of experience writing complex SQL queries and stored procedures.
Proficiency in Spark and SQL.
Preferred Skills
Experience architecting data lakes, metadata management, or data governance on GCP.
Knowledge of CI/CD pipelines such as Concense or Jenkins, and Airflow (DAGs).