GCP Data Engineer
Tasks
- Advise stakeholders on data transformation
- Analyze data on Google Cloud Platform
- Build streaming data pipelines
- Define GCP data solution components
- Design GCP data solution components
- Develop GCP data solution components
- Develop PySpark jobs
- Explore and visualize data on Google Cloud Platform
- Implement data transformations using Dataform
- Ingest data on Google Cloud Platform
- Integrate APIs across GCP services
- Lead data management in GCP
- Liaise between clients and developers
- Migrate legacy data to Google Cloud Platform
- Process data on Google Cloud Platform
- Protect datastores with GCP security
- Provide data engineering services using GCP Dataflow
- Provide support for implemented components
- Store data on Google Cloud Platform
- Support data acquisition with data scientists
- Support data solution ideation and implementation
- Test GCP data solution components
- Translate business requirements into data solutions
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | BigQuery | Cloud Architecture | Cloud Bigtable | Cloud SQL | Cloud Spanner | Cloud platform | Data Migration | Data integration | Database Migration | Dataflow | Dataform | Datastore Security | Google Cloud | Google Cloud Platform | Legacy Database Migration | PySpark | Relational databases | Streaming Services
Education
Roles
Regions
Countries
States
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