Senior Data Engineer
Tasks
- Contribute to technical runbooks and knowledge sharing
- Design, build and maintain ETL/ELT pipelines
- Develop data ingestion transformation cleansing and enrichment
- Implement automated data quality checks
- Investigate and resolve data quality and production issues
- Maintain technical documentation for pipelines and data contracts
- Manage Databricks Asset Bundle deployments
- Monitor pipeline health freshness and completeness
- Optimize Spark jobs cluster performance and platform costs
- Promote environments across development and production
- Support platform reliability monitoring and operational excellence
- Translate business requirements into data solutions
- Write unit tests for production ready data pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Asset bundles | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure DevOps | Azure Key Vault | Azure Monitor | Bicep | CI/CD | Data Contracts | Data Governance | Data Lake Storage Gen2 | Data Modeling | Databricks (asset) | Databricks Asset Bundles | Databricks Workflows | Delta Lake | Git | Key Vault | Log Analytics | Medallion Architecture | PySpark | Pytest | Python | SQL | Unity Catalog
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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