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Metro Hyderabad role with common 'Data Engineer' title but senior and specialized Azure/Databricks needs.
Azure/Databricks skills transferable, but pharma/Veeva and compliance preference increases domain specificity.
Explicit 8+ years, leadership requirement, and mandatory Azure/Databricks ETL skills make filters strict.
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Lead a small team of Azure Data Engineers focusing on ETL/ELT solutions and database development using Azure Data Factory, Databricks, and related Azure tools.
Design, develop, and maintain data integration pipelines ensuring compliance with process governance in a regulated environment, primarily pharmaceutical and life sciences.
Translate customer needs into technical requirements and support data management framework adoption for multiple client projects.
8+ years in IT, with minimum 5 years leading a team of Azure Data Engineers.
5+ years experience in database development and building ETL/ELT solutions using Azure integration tools such as Azure Data Factory, Azure Functions, Logic Apps, and Databricks.
Strong hands-on skills in Azure Databricks, PySpark, Azure SQL or relational database querying.
Not explicitly mentioned: Mandatory degree, specific notice period.
Experienced in pharmaceutical or life sciences sector data management and compliance environments.
Familiar with data-centric implementations like SFA/CRM, Business Intelligence tools, and CRM systems such as Salesforce.com or Veeva.
Certified or trained with Microsoft Azure Data Engineer Associate (DP-203) and Databricks Data Engineer Associate certification preferred.