Senior Data Engineer
Tasks
- Build data extraction transformation and loading
- Create self healing data solutions
- Design data pipelines
- Develop dashboards and aggregations
- Develop data quality validation processes
- Execute unit and integration tests
- Implement data governance and access control
- Maintain and monitor data pipelines
- Manage and mentor data engineering team
- Model dimensional data
- Monitor pipeline health and automate recovery
- Optimize pipeline performance and cost
- Translate business requirements into development tasks
- Use CI/CD for deployments
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Apache Airflow | Apache Spark | Azure | CI/CD | Data Governance | Data Modeling | Data Quality | DataOps | Databricks | Delta Lake | Dimensional Modeling | ETL | GCP | Git | Infrastructure as Code | Integration Testing | Jenkins | Logging | Medallion Architecture | Metadata Management | Pipeline Orchestration | PySpark | Python | SQL | Unit Testing | Version control | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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