Data Engineer
- Deliver and enhance ETL/ELT pipelines across Microsoft Fabric and Snowflake
- Configure and maintain ingestion from APIs, files, and other data feeds
- Implement integration patterns between OneLake and Snowflake
- Build and operate medallion architecture (bronze / silver / gold) layers
- Define and maintain data models, schemas, and semantic layers
- Optimise pipeline performance, query efficiency, and cloud cost
- Troubleshoot and resolve data quality, reliability, and performance issues
- Implement role‑based access, secure data handling, and privacy‑aware processing
- Apply row‑level security and dataset‑level client isolation
- Develop SQL, Python, and PySpark scripts for AI/ML feature and model datasets
- Deliver work through Jira and collaborate with cross‑functional teams
- Use GitHub for version control and contribute to CI/CD processes
- Produce documentation on data flows, transformations, and operational procedures
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