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Mid-level, popular Data Engineer role in metro with broad Azure/Databricks requirements increases candidate competition.
Core Azure Databricks data engineering skills transfer easily, though mortgage domain knowledge moderately matters.
Explicit multi-year requirements and mandatory Azure/Databricks skills create strict shortlisting filters.
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Design, build, and maintain scalable data solutions on Azure cloud and Databricks platforms.
Develop and maintain data pipelines, transformations, and business logic to support data warehouse and integrated applications.
Manage version control, deployments, and CI/CD workflows using Git to ensure best practices in data management and governance.
Bachelor's or Master's degree in Computer Science, IT, Engineering, Mathematics, or related field.
Minimum 5 years of experience with SQL and Python programming.
At least 3 years of experience with Azure cloud services including Azure SQL Server, Azure Data Factory, Azure Databricks, ADLS, and Azure Functions.
3+ years experience with Git and deploying code using CI/CD pipelines.
Experienced in Azure Databricks and related data engineering services, with capacity to contribute to both new projects and maintenance of existing solutions.
Skilled in collaborative cross-functional environments ensuring data accuracy, integrity, and performance.
Preferably holds certifications like Microsoft Certified: Azure Data Engineer Associate or Databricks Certified Data Engineer.