Data Engineer
Tasks
- Automate data operations
- Build data infrastructure
- Collaborate with product, engineering, and business teams
- Design data models
- Design data pipelines
- Ensure data governance compliance
- Ensure data observability
- Ensure data security and privacy compliance
- Implement data quality monitoring
- Implement data validation frameworks
- Maintain data pipelines
- Optimize data processing workflows
- Optimize query performance
- Participate in on-call rotations
- Support production data systems
Perks/Benefits
- Career growth
- Continuous learning
- Flexible remote work
- International team collaboration
- Meaningful project ownership
- Mentorship
- Work on AI and cloud projects
- Work-life balance
Skills/Tech-stack
Apache Airflow | Apache Spark | Containers | Dagster | Data Architecture | Data Governance | Data Modeling | Data Observability | Data Privacy | Data Quality | Data Streaming | Data quality monitoring | Infrastructure as Code | Kubernetes | Prefect | Python | Quality monitoring | Real Time | Real-Time Data Streaming | Real-time Data | SQL | “as-code”
Education
N/A
Roles
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