Data Engineer
Tasks
- Administer and tune relational databases
- Build curated reporting layers
- Build scalable data pipelines
- Create governed data warehouse assets
- Design data models
- Develop production ready Python scripts
- Integrate data from APIs and SaaS
- Maintain technical documentation and runbooks
- Monitor data quality and pipeline performance
- Optimize SQL queries
- Prepare datasets for Power BI and visualization
- Use GitHub for version control and reviews
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Azure | Azure SQL | Azure SQL Managed Instance | Data Governance | Data Marts | Data Modeling | Data Validation | Data Warehousing | Data orchestration | ELT | ETL | GitHub | Managed Instance | NoSQL | Power BI | Python | SQL | SQL Managed Instance | SQL Server | Semantic layer | Snowflake
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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