Senior Data Engineer
Denver, CO, United States
R
USD 119K-161K (estimate) Senior-level Full Time
Tasks
- Apply data classification into ETL
- Automate data processes
- Conduct code reviews
- Create and improve reporting and visualization
- Design and implement data architectures for data pipelines
- Design, implement, and maintain ETL processes
- Develop and enhance data models
- Develop technical specifications
- Elicit data business requirements from stakeholders
- Ensure data accuracy, completeness, and reliability
- Ensure data protection compliance and confidentiality
- Implement data masking techniques
- Implement data quality checks and validation
- Integrate data from disparate sources
- Maintain monitor optimize and troubleshoot data processes
- Mentor junior data engineers
- Provide documentation and access control
Perks/Benefits
- N/A
Skills/Tech-stack
Analysis Services Tabular | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure Log Analytics | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | Data Classification | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Modeling | Data Quality | Data Warehousing | Data masking | Databricks | ETL | Integration Services | Kimball methodology | Log Analytics | Medallion Architecture | Microsoft Analysis Services | Microsoft Analysis Services TABULAR | Microsoft Fabric | Microsoft SQL | Microsoft SQL Server | Power BI | Powershell | Python | REST API | SQL | SQL Database | SQL Server | SQL Server Integration Services | SQL Server integration | Server Integration Services | Spark | Synapse Analytics
Education
Roles
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