Senior Data Engineer
Tasks
- Build Power Automate workflows
- Convert SSIS packages to Azure Data Factory
- Define enterprise data architecture
- Design scalable ingestion patterns
- Develop Power BI datasets and data models
- Establish data modeling best practices
- Identify obsolete fact tables and unused reports
- Implement incremental loading
- Implement naming conventions monitoring and operational support
- Integrate Ataccama data quality workflows
- Modernize SSRS reporting
- Modernize data integration pipelines
- Optimize data extraction performance
- Participate in agile scrum ceremonies
- Perform data governance with Ataccama ONE
- Promote environments Dev QA Prod
- Provide tier 2 tier 3 production support
- Support Power Platform dependencies
- Tune Snowflake warehouses
- Use advanced Excel for analysis and reconciliation
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Ataccama ONE | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure SQL | CI/CD | DAX | Data Factory | Data Lake Storage Gen2 | Git | Integration Services SSIS | Power Automate | Power BI | Power Query | Reporting Services (SSRS) | SQL | SQL Server | SQL Server Integration Services | SQL Server Integration Services (SSIS) | SQL Server Reporting | SQL Server Reporting Services | SQL Server Reporting Services (SSRS) | SQL Server integration | Scrum | Snowflake | Snowflake OpenFlow | Visual Studio
Education
Roles
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