Senior Data Developer I

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:
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Design, develop, and maintain scalable and secure data pipelines using Microsoft Fabric, Azure Synapse Analytics, and Azure Databricks to support critical business processes.
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Develop curated datasets for clinical, regulatory, and commercial analytics using SQL and PySpark.
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Create and support dashboards and reports using Power BI (highly preferred).
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Collaborate with cross:functional stakeholders to understand data needs and translate them into technical solutions.
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Work closely with ERP teams such as Salesforce and SAP S/4HANA to integrate and transform business:critical data into analytic:ready formats.
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Partner with Data Scientists to enable advanced analytics and machine learning initiatives by providing clean, reliable, and well:structured data.
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Ensure data quality, lineage, and documentation in accordance with GxP, 21 CFR Part 11, and industry best practices.
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Use Azure DevOps to manage code repositories, track tasks, and support agile delivery processes.
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Monitor, troubleshoot, and optimize data workflows for reliability and performance.
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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.
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Use personal computer and demonstrate proficiency in Microsoft PowerPoint, Excel, Word, Visio, and Power BI.
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Travel as required.
Work Experience Requirements
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5 years of experience in data development or data engineering roles.
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Hands:on experience with:
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Microsoft Fabric (Lakehouse, Pipelines, Dataflows)
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Azure Synapse Analytics (Dedicated/Serverless SQL Pools, Pipelines)
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Experience with Azure Data Factory, Apache Spark
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Azure Databricks (Notebooks, Delta Lake, Unity Catalog)
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SQL (complex queries, optimization, transformation logic)
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Familiarity with Azure DevOps (Repos, Pipelines, Boards).
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Understanding of data governance, security, and compliance in the Life Sciences domain.
Education Requirements
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Bachelor 's or Master 's degree in Computer Science.
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Microsoft Certified: DP:700 : Fabric Analytics Engineer Associate
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Databricks Certified Data Engineer Associate or Professional (Preferred)
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Power BI Data Analyst (PL300) (Preferred)
Specialized Skills/Technical Knowledge:
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Excellent planning, organizational, and project management abilities.
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Advanced knowledge of Azure cloud technologies (SaaS, IaaS, PaaS).
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Deep expertise in Azure Synapse Analytics, Microsoft Fabric, Power BI, dashboard/reporting best practices, and AI technologies.
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Understanding of security by design and data protection principles.
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Ability to build trust and credibility with stakeholders.
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Proficiency in information modeling techniques (e.g., data flow diagrams, entity:relationship diagrams).
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Good verbal and written communication skills, with the ability to convey complex technical concepts to non:technical audiences.
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Resourcefulness and creativity in solving architectural, operational, a
Job Type: Permanent