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Mid-level data engineer with common Azure/Databricks skills, metro location, and generalist title increases competition.
Core Azure Databricks and MDM skills are transferable, but pharmaceutical and Veeva preferences increase domain specificity.
Mandatory 5+ years and Azure Databricks, PySpark, SQL, and regulated-environment experience enforce strict filters.
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Design and implement scalable ETL/ELT data pipelines using Azure Data Factory, Azure Databricks, and related Azure integration technologies.
Develop, optimize, and troubleshoot complex SQL queries and data integration solutions within regulated and compliance-driven environments.
Collaborate across teams to enforce data management frameworks, governance standards, and translate business requirements into technical solutions.
5+ years experience in Database Development, Master Data Management (MDM), and Data Integration.
5+ years hands-on experience with Azure data integration technologies including Azure Data Factory, Azure Functions, Logic Apps, and Azure Databricks with PySpark.
Proficiency in SQL development and experience with cloud-based relational database platforms.
Work Experience Required: 5+ years
Experienced in regulated and compliance-heavy industries such as Pharmaceutical or Life Sciences preferred but not mandatory.
Strong technical skills focused on Azure cloud-native data platforms and modern data architectures including knowledge of data governance.
Able to work effectively within structured, process-driven organizations and collaborate with technical and business stakeholders.