Lead Azure Data Engineer
Syneos Health (company site, opens in a new tab)8+ yrsHyderabadOn-siteDirect career pageEst. 25–40 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.