Google Cloud Platform Data Engineer
Core
Lead a team to develop data-driven solutions for clients using Google Cloud Platform data processing and management capabilities.
Role type
Principal GCP Data Engineer (Team Lead)
Builds
Production data pipelines, automated data processing jobs, and end-to-end data solutions on GCP.
Domain
Cloud Data Engineering / Enterprise Data Platforms
Deliverable
production ML models | product features | dashboards & analysis | client delivery | infrastructure
Required skills
Google Cloud Dataflow, Dataproc, BigQuery, Cloud Composer, Apache Spark, Apache Beam, event-driven architectures, ETL/ELT, stream processing, CI/CD pipelines, data governance tools (Cloud Data Catalog, Collibra, Dataplex), cloud-native principles, data quality alerting, relational/non-relational data stores.
Preferred skills
Enterprise-scale data platform migrations (Hadoop, traditional data warehouses), machine learning model development lifecycle, feature engineering, Kafka, RDBMS (PostgreSQL, MySQL, Oracle, SQL Server), non-functional requirements design.
Responsibilities
Develop robust data processing jobs; design and deliver automated data pipelines; define end-to-end software development lifecycle; own development process and build engineering standards; coach and mentor team members; lead technical discussions with client stakeholders.
Seniority
Principal, hands-on IC with team leadership