Data Engineer
Tasks
- Build automation tools for data operations
- Collaborate with product, engineering, and business stakeholders
- Design data models for analytics and reporting
- Design scalable data pipelines
- Develop data infrastructure for processing and storage
- Ensure data governance, security, and privacy compliance
- Implement data quality monitoring and validation
- Optimize query performance and data storage architectures
- Provide operational support for production data systems
Perks/Benefits
- Career growth
- Collaborative international teams
- Continuous learning
- Flexible remote work
- Meaningful project ownership
- Mentorship
- Work-life balance
Skills/Tech-stack
Apache Airflow | Apache Spark | Dagster | Data Architecture | Data Governance | Data Modeling | Data Observability | Data Pipelines | Data Quality | Data Streaming | Docker | Infrastructure as Code | Kubernetes | Prefect | Python | Real Time | Real-Time Data Streaming | Real-time Data | SQL | “as-code”
Education
N/A
Roles
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