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Mid-level role, metro location and 5-year experience create moderate applicant competition.
Transferable data engineering skills, but Azure ADF and Power BI requirements add moderate specificity.
Mandatory Azure ADF, SQL, Power BI skills and explicit 5 years increase shortlisting rigidity.
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Design, develop, automate, and maintain ETL pipelines using Azure Data Factory and SQL Server stored procedures for a large data warehouse.
Develop ETL solutions integrating source applications with Enterprise Data Warehouse, including documentation for data governance and unit test plans.
Troubleshoot data quality issues and optimize ETL processes and SQL queries for performance improvements.
5 years of relevant experience as a Data Engineer.
Proficiency with Azure Data Factory, SQL stored procedure development, and Microsoft Power BI report development.
Experience in ETL and database development for large data warehouses with performance tuning skills.
Experience working with Agile methodologies.
Experienced in designing scalable ETL solutions and integrating data warehouses in enterprise environments.
Skilled in collaborative operational support and cross-team troubleshooting for data quality and performance issues.
Able to document technical solutions thoroughly adhering to data governance standards.