Data Engineer
Tasks
- Architect scalable data pipelines
- Automate infrastructure provisioning
- Build CI/CD pipelines
- Collaborate on data solution design
- Design data models
- Develop ETL/ELT workflows
- Enforce data governance policies
- Implement data quality frameworks
- Lead implementation from design to deployment
- Maintain architecture documentation
- Monitor and deploy data environments
- Monitor and optimize pipeline performance
- Orchestrate batch and real time pipelines
- Perform data validation testing
- Write Python and SQL transformations
Perks/Benefits
- Educational assistance
- Employee assistance program
- Flexible work schedule
- Health savings accounts
- Life insurance
- Medical, dental, and vision benefits
- Paid time off
- Retirement and savings plans
- Volunteer time off
Skills/Tech-stack
Apache Airflow | BigQuery | CI/CD | Cloud Composer | Cloud Storage | Cloud platform | Data Cataloging | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Streaming | Data Validation | Dataflow | Dimensional Modeling | ELT | ETL | Google Cloud | Google Cloud Platform | Infrastructure automation | Machine Learning | Metadata Management | Python | SQL | Star Schema
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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