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Mid-level, popular Data Engineer role in metro with common Azure/Databricks skills, attracting moderate competition.
Data engineering skills transfer across industries but require specific Azure/Databricks proficiency, limiting perfect portability.
Explicit 5-8 years plus mandatory Azure Databricks, Python, ADF and production experience increases filter strictness.
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Design, develop, and maintain live data pipelines on Azure platform including Databricks, Data Factory, ADLS2, Function Apps, and Logic Apps.
Build and manage ETL processes from scratch and support production environments ensuring data quality, governance, and MDM adherence.
Troubleshoot and debug issues in Python, Azure services, and SQL databases to ensure pipeline reliability and performance.
5-8 years of experience in Data Engineering roles.
Proficient with Azure Databricks, Azure Data Factory, ADLS2, Azure Function Apps, and Logic Apps.
Strong SQL skills with experience working across multiple SQL databases.
Experience building ETL pipelines from scratch and supporting production data pipelines.
Experienced in managing end-to-end data engineering pipelines in Azure cloud environment with production support.
Skilled in troubleshooting complex issues using Python, Azure, and SQL in real-time data pipelines.
Familiar with data quality, governance, and Master Data Management (MDM) concepts relevant to enterprise data solutions.