Principal Data Consultant with Azure
Tasks
- Automate data workflows with DataOps best practices
- Build and maintain data platforms on Microsoft Azure
- Design and develop scalable data pipelines
- Design and implement semantic data models
- Develop data transformations with Databricks and PySpark
- Ensure data quality governance metadata management and security
- Gather requirements and translate into technical solutions
- Optimize Azure data solution performance and cost
- Provide architectural guidance to development teams
- Support and mentor engineers
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Data | Azure Data Factory | Data Factory | Data Governance | Data Modeling | Data Quality | Data Security | Data Warehousing | DataOps | Databricks | Metadata Management | Microsoft Azure | PySpark | Python | SQL | Semantic data | Semantic data modeling | Semantic layers | Spark
Education
N/A
Roles
Architect | Consultant | Data Architect | Data Consultant | Data Engineer | Engineer
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