GCP Data Engineer
Tasks
- Build data pipelines ingest data from sources
- Conduct root cause analysis
- Design and optimize data storage architectures
- Design data ecosystem on GCP
- Gather analyze model and document requirements
- Implement caching strategies
- Model data from multiple sources
- Monitor performance and anomalies
- Partition compress and index data
- Train and mentor junior data engineers
- Troubleshoot support complex high impact issues
- Tune queries resolve bottlenecks
Perks/Benefits
- Certificate training
- Flexible working hours
- Learning platform access
- Online onboarding
- Remote work
- Training programs
- Well being and health support
- Workation
Skills/Tech-stack
Airflow | BigQuery | Cloud Functions | Cloud Storage | Cloud platform | Confluence | DBT | Data Lakes | Data Modeling | Data Warehousing | Dataform | ELT | ETL | Git | Google Cloud | Google Cloud Platform | Indexing | Jira | NoSQL | Partitioning | Python | Query Optimization | SQL
Education
N/A
Roles
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