Data Engineer (2-4 Years In Azure Data Factory And Synapse, Tsql)

Gartner

Hybrid
Azure data factory
Azure synapse
Tsql procedures
Responsible for reviewing and analysis of business requirements and designing technical mapping documents

Job Summary

  • Responsible for reviewing and analysis of business requirements and designing technical mapping documents.
  • Build new ETL/ELT pipelines/Stored Procedures using Azure Data Products like Synapse Azure Data Factory, Databricks etc.
  • Collaborate on Data warehouse architecture and technical design discussions.

Matching Summary

Responsible for reviewing and analysis of business requirements and designing technical mapping documents.

Skills & Requirements

Must-have

  • Azure Data Factory
  • Azure Synapse
  • TSQL procedures
  • Data warehouse design
  • ETL development

Nice-to-have

  • JIRA/Git process
  • dimensional modeling
  • relational modeling
  • Azure Analysis Services
  • Power BI

Key Requirements

  • 2-4 years of experience in Data Engineering
  • 2-4 years of experience in Data warehouse design & development and ETL using Azure Data Factory (ADF)
  • Experience in writing complex TSQL procedures on MPP platforms
  • Ability to work independently, as well as part of a team
  • Experience working with fast-paced operations/dev teams

Work Rights

Not specified

Tailored Resume

Cover Letter