Senior Data Engineer
Tasks
- Apply Infrastructure as Code for deployments
- Automate testing and documentation with generative AI
- Build and maintain scalable data pipelines
- Build data infrastructure for autonomous data agents
- Design and implement self service data interfaces
- Develop data products for business use
- Implement Data Mesh architectures
- Implement data quality monitoring and anomaly detection
- Implement policy as code guardrails
- Integrate security and compliance into pipelines
- Manage enterprise data catalog and data exchange
- Optimize compute costs with FinOps practices
- Support metadata discoverability and documentation
- Translate engineering requirements into business outcomes
- Use prompt engineering for AI augmented engineering workflows
Perks/Benefits
- Career growth opportunities
- Community involvement opportunities
- Health and wellbeing programs
- Hybrid work environment
- Paid personal days
- Paid sick days
- Paid vacation
- Work-life balance
Skills/Tech-stack
AWS CloudFormation | Apache Spark | CI/CD | Cloud Storage | Cloud platform | Data Catalog | Data Governance | Data mesh | Data pipeline | Databricks | FinOps | Generative AI | GitHub Actions | Google BigQuery | Google Cloud | Google Cloud Platform | Google Cloud Storage | Google Cloud Vertex | Google Cloud Vertex AI | Looker | MLOps | PowerBI | Prompt engineering | PySpark | Python | SQL | Sigma | Terraform | Vertex AI
Education
Roles
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