Data Engineer
Tasks
- Build and manage BigQuery data warehouse
- Build data models for BI reporting
- Collaborate with data analysts and data scientists
- Design build and maintain ETL and ELT pipelines
- Implement BigQuery partitioning clustering and materialized views
- Implement data quality checks and monitoring
- Monitor troubleshoot and optimize data infrastructure
- Write SQL and Python transformations
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | CI/CD | Cloud Composer | Cloud Functions | Cloud Storage | Cloud platform | Clustering | DBT | DDL | DML | Data Governance | Data Modeling | Data Quality | Data quality monitoring | Dataflow | Dataform | Docker | ELT | ETL | Fivetran | Git | Google BigQuery | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | LookML | Looker | Materialized views | Partitioning | Power BI | Pub/Sub | Python | Quality monitoring | Query Optimization | SQL | Tableau | Terraform | “as-code”
Education
N/A
Roles
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