Senior Data Engineer
Tasks
- Automate documentation testing and refactoring with generative AI
- Build data infrastructure for autonomous data agents
- Build scalable data pipelines
- Develop data exchange interfaces
- Develop data producer interfaces
- Enable data discoverability and documentation
- Implement AI based data quality monitoring
- Implement data platform deployment patterns
- Implement policy as code guardrails
- Integrate security and compliance into pipelines
- Maintain enterprise data catalog
- Optimize compute costs with FinOps
- Translate engineering requirements into business outcomes
- Unify structured and unstructured data
Perks/Benefits
- Career growth and development
- Community involvement opportunities
- Health and wellbeing resources
- Hybrid work environment
- Paid personal days
- Paid sick days
- Paid vacation
Skills/Tech-stack
AWS CloudFormation | CI/CD | Data Quality | Data mesh | Data quality monitoring | Databricks | FinOps | Generative AI | Google BigQuery | Google Vertex | Google Vertex AI | Infrastructure as Code | Looker | MLOps | Policy-as-Code | Power BI | Prompt engineering | PySpark | Python | Quality monitoring | SQL | Sigma | Spark | Terraform | Vertex AI | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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