Senior Data Engineer
Tasks
- Automate data integration and transformation
- Build ETL processes
- Build data models
- Design scalable data pipelines
- Enable AI and machine learning data foundations
- Implement data governance
- Implement data security
- Maintain data workflows
- Mentor junior engineers
- Monitor and troubleshoot data workflows
- Optimize pipeline performance
Perks/Benefits
- Collaboration opportunities
- Continuous learning
- Flexible home-office arrangements
- Knowledge sharing
- Professional growth
- Remote work
Skills/Tech-stack
Access Control | Agile | Analysis Services | App Service | Auditing | Automation | Azure Analysis | Azure Analysis Services | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Gen2 | Azure Databricks | Azure Functions | Azure SQL | Azure SQL Database | Blob Storage | CI/CD | Cosmos DB | Data Factory | Data Governance | Data Lake Gen2 | Data Management | Data Modeling | Data Quality | Data Security | Delta Lake | Encryption | Infrastructure as Code | Logic Apps | Machine Learning | Master Data | Master Data Management | Monitoring | PL/SQL | Python | REST API | Role-Based Access | Role-Based Access Control | SQL | SQL Database | Streaming Technologies | T-SQL | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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