GCP Data Engineer
Posted 1
view
Summary
A GCP data engineer in Sydney who designs and hands-on builds large-scale data platforms: batch and real-time ingestion pipelines (Kafka to Spanner/BigQuery), legacy code transpilation to BQ SQL, CI/CD with Cloud Build and Terraform, Cloud Composer orchestration, and data governance with Dataplex.
Status:
AU valid visa with full work rights
Must have:
- Programming knowledge and willingness to be hands-on - Python, Java
Key Responsibilities
- In-depth knowledge and experience of GCP data and analytics technologies
- Designing Large scale Transaction Data Platform architecture for (a) migrating open source or public cloud data platforms to GCP cloud native services (b) designing greenfield data platforms on GCP
- Define solution architecture and detailed design, and perform hands-on implementation for data pipelines for batch and event driven ingestion and processing of data from a variety of sources such as on-prem files, on-prem databases, APIs, etc.
- Real-time data ingestion and event-driven processing pipelines from Confluent Kafka and GCS to Spanner and BigQuery
- Automatic transpilation of legacy code (HIVE, Teradata, python logic etc.) to BQ SQL
- CI/CD pipelines for data workloads using Cloud Build, Artifact Registry, Terraform
- Orchestration setup and Cloud Composer DAG development for data pipeline workflows
- Data governance solutioning using GCP governance tooling (Dataplex, Data Catalog) Experience applying Generative AI technologies and integrations in enterprise environments.
- Tools and languages experience Required