Senior Data Engineer
USD 143K-229K (estimate) Senior-level Full Time
Tasks
- Apply data classification and data masking in ETL
- Automate data processes to reduce manual work
- Contribute to reporting and visualization projects
- Design and implement data architectures for scalable data pipelines
- Design, implement, and maintain ETL processes
- Develop and enhance data models
- Develop strategies for integrating data from disparate sources
- Elicit data related business requirements from stakeholders
- Ensure accuracy completeness and reliability of data used for analysis
- Ensure data security documentation access and compliance
- Implement data quality checks and validation processes
- Maintain monitor optimize and troubleshoot data processes
- Mentor junior data engineers
- Participate in code reviews
Perks/Benefits
Skills/Tech-stack
Analysis Services | Azure Analysis | Azure Analysis Services | Azure Data | Azure Data Factory | Azure DevOps | Azure Log Analytics | Azure SQL | Azure Storage | Azure Synapse | Azure Synapse Analytics | Data Classification | Data Factory | Data Modeling | Data Quality | Data Warehousing | Data masking | Databricks | ETL | Integration Services SSIS | Kimball data warehousing | Log Analytics | Medallion Architecture | Microsoft Fabric | Microsoft SQL | Microsoft SQL Server | Power BI | Powershell | Python | REST API | SQL Server | SQL Server Integration Services | SQL Server Integration Services (SSIS) | SQL Server integration | Spark | Synapse Analytics | Tabular modeling
Education
Roles
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