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Generalist Data Engineer title, metro location, and broad Azure/PySpark skillset increase applicant competition.
Core data engineering skills (Python, PySpark, SQL, Azure) are highly transferable across industries.
Mandatory Azure/Databricks, Python/PySpark and SQL requirements but no fixed years makes filtering moderately strict.
Design, build, and test scalable data platform solutions on Azure using Python, ADF, Databricks, and Function Apps.
Develop and optimize high-quality data products and pipelines to ensure efficiency, reliability, and performance.
Collaborate with product and marketing teams to deliver data-driven insights and continuously improve data workflows.
Experience with data lakehouse architectures and building/testing solutions in this environment.
Proficiency in Python and PySpark; strong SQL skills.
Hands-on experience with Azure services including ADF, Databricks, and Function Apps; familiarity with CI/CD pipelines using Azure DevOps or similar.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in data engineering within cloud-based data platforms, specifically Azure environments.
Able to follow development frameworks and coding standards with attention to detail and quality.
Collaborative, adaptable to fast-paced settings, and eager to learn new technologies and skills.