Data Engineer - senior
Tasks
- Architect hybrid data pipelines
- Build partitioning and clustering strategies
- Design and optimize BigQuery architectures
- Ensure data quality
- Implement change data capture and streaming updates
- Ingest raw data
- Orchestrate multi stage data workflows
- Own pipeline health
- Schedule and monitor data pipelines
- Translate analytics requirements into technical requirements
- Troubleshoot pipeline failures
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | BigQuery | CI/CD | Change Data Capture | Cloud Composer | Cloud Dataflow | Cloud Dataproc | Cloud Storage | Cloud platform | Common table expressions | Data Capture | Data Modeling | Databricks | Dataform | Dimensional Modeling | Git | GitHub Actions | Google Cloud | Google Cloud Platform | Jenkins | Pandas | PubSub | PySpark | Python | SQL Server | SQL Server stored procedures | SSIS | Snowflake Schema | Star Schema | Stored Procedures | TSQL | Terraform
Education
N/A
Roles
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