Senior Data Engineer
Tasks
- Architect data pipelines
- Automate infrastructure provisioning
- Build CI/CD pipelines
- Build batch and real time streaming pipelines
- Develop ETL/ELT workflows
- Enforce data governance policies
- Implement data quality frameworks
- Maintain data documentation
- Mentor data engineers
- Monitor and optimize pipeline performance
- Perform data validation and testing
- Support machine learning deployment environments
- Write Python and SQL for data processing
Perks/Benefits
- Dental insurance
- Disability insurance
- Educational assistance
- Employee assistance program
- Health insurance
- Life insurance
- Paid time off
- Retirement savings plan
- Vision insurance
- Volunteer time
- Wellness programs
Skills/Tech-stack
Apache Airflow | Batch Processing | BigQuery | CI/CD | Cloud Composer | Cloud Storage | Cloud platform | Data Catalog | Data Governance | Data Lineage | Data Quality | Data Validation | Data Warehousing | Dataflow | DevOps | Dimensional Modeling | ELT | ETL | Google Cloud | Google Cloud Platform | Infrastructure as Code | MLOps | Machine Learning | Metadata Management | Python | Real Time | Real-time Data | SQL | Star Schema | Streaming | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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