Summary
We are seeking an experienced Data Developer with expertise in Microsoft Fabric, Azure Synapse Analytics, Databricks, and strong SQL development skills. The ideal candidate will work on end-to-end data solutions supporting analytics initiatives across clinical, regulatory, and commercial domains in the Life Sciences industry. Familiarity with Azure DevOps, Microsoft Dynamics, and relevant certifications such as DP-700 and Databricks Data Engineer Associate/Professional are preferred. Power BI knowledge is highly preferable to support integrated analytics and reporting.
Responsibilities
• Design, develop, and maintain scalable and secure data pipelines using Microsoft Fabric, Azure Synapse Analytics, and Azure Databricks to support critical business processes.
• Develop curated datasets for clinical, regulatory, and commercial analytics using SQL and PySpark.
• Create and support dashboards and reports using Power BI (highly preferred).
• Collaborate with cross-functional stakeholders to understand data needs and translate them into technical solutions.
• Work closely with ERP teams such as Salesforce.com and SAP S/4HANA to integrate and transform business-critical data into analytic-ready formats.
• Partner with Data Scientists to enable advanced analytics and machine learning initiatives by providing clean, reliable, and well-structured data.
• Ensure data quality, lineage, and documentation in accordance with GxP, 21 CFR Part 11, and industry best practices.
• Use Azure DevOps to manage code repositories, track tasks, and support agile delivery processes.
• Monitor, troubleshoot, and optimize data workflows for reliability and performance.
• Contribute to the design of scalable, compliant data models and architecture.
Education Requirements
Essential Functions of the Role
Education & Work Preferences
• 5+ years of experience in data development or data engineering roles.
• Hands-on experience with:
• Microsoft Fabric (Lakehouse, Pipelines, Dataflows)
• Azure Synapse Analytics (Dedicated/Serverless SQL Pools, Pipelines)
• Experience with Azure Data Factory, Apache Spark
• Azure Databricks (Notebooks, Delta Lake, Unity Catalog)
• SQL (complex queries, optimization, transformation logic)
• Familiarity with Azure DevOps (Repos, Pipelines, Boards).
• Understanding of data governance, security, and compliance in the Life Sciences domain.
Competencies
Location - Gurugram
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