Senior Data Engineer
USD 143K-229K (estimate) Senior-level Full Time
Tasks
- Apply documentation access and security best practices
- Automate data processes
- Conduct code reviews
- Create reporting and visualization solutions
- Design data architectures for data pipelines
- Design, implement, and maintain ETL processes
- Develop and enhance data models
- Develop technical specifications
- Elicit data requirements from stakeholders
- Ensure compliance of data protection regulations
- Ensure data accuracy, completeness, and reliability
- Implement data classification and data masking
- Implement data quality checks and validation
- Integrate data from disparate sources
- Maintain monitor optimize and troubleshoot data processes
- Mentor junior data engineers
Perks/Benefits
Skills/Tech-stack
Analysis Services Tabular | Azure Analysis | Azure Analysis Services | Azure Analysis Services Tabular | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure Gen2 | Azure Gen2 Storage | Azure Log Analytics | Azure SQL | Azure SQL Database | Azure Storage | Azure Synapse | Azure Synapse Analytics | Data Factory | Data Lake Storage Gen2 | Data Warehousing | Databricks | ETL | Integration Services | Kimball methodology | Log Analytics | Medallion Architecture | Microsoft Fabric | Microsoft SQL | Microsoft SQL Server | Power BI | Powershell | Python | REST API | Redgate Monitoring | SQL | SQL Database | SQL Server | SQL Server Integration Services | SQL Server integration | Server Integration Services | Spark | Synapse Analytics
Education
Roles
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