Job Description

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.

Essential Functions of the Role

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Communicate effectively via phone, messaging, and video calls with JDS Associates and external partners. Use personal computer and demonstrate proficiency in Microsoft PowerPoint, Excel, Word, Visio, and Power BI. Travel as required.

Work Experience Requirements

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.

Education Requirements

Bachelor's or Master's degree in Computer Science. Microsoft Certified: DP-700 - Fabric Analytics Engineer Associate Databricks Certified Data Engineer Associate or Professional (Preferred) Power BI Data Analyst (PL300) (Preferred)

Specialized Skills/Technical Knowledge:

Excellent planning, organizational, and project management abilities. Advanced knowledge of Azure cloud technologies (SaaS, IaaS, PaaS). Deep expertise in Azure Synapse Analytics, Microsoft Fabric, Power BI, dashboard/reporting best practices, and AI technologies. Understanding of security by design and data protection principles. Ability to build trust and credibility with stakeholders. Proficiency in information modeling techniques (e.g., data flow diagrams, entity-relationship diagrams). Good verbal and written communication skills, with the ability to convey complex technical concepts to non-technical audiences. Resourcefulness and creativity in solving architectural, operational, and AI-related challenges.

Local Specifications (English and Local Language):

English






Location - Gurugram

Mode - Hybrid