Data Engineer ||
Tasks
- Build ETL/ELT workflows
- Contribute to documentation operational support and knowledge sharing
- Develop and maintain scalable cloud data pipelines
- Ingest transform and process data for analytics
- Manage data lineage and access management
- Participate in Agile ceremonies and sprint planning
- Participate in code reviews, debugging, and performance optimization
- Support data quality governance and monitoring
- Troubleshoot data platform issues
- Use orchestration and cloud services for data processing workflows
- Write clean, efficient, testable code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Management | Agile | Azure | Azure Data | Azure Data Factory | CI/CD | Cloud platform | Data Factory | Data Governance | Data Lakes | Data Modeling | Data Quality | Databricks | Databricks Delta | ELT | ETL | Git | Glue | Google Cloud | Google Cloud Platform | Lakehouse | Lineage | Medallion Architecture | Monitoring | PySpark | Python | S3 | SQL | Scrum | Unit Testing
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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