Senior Data Developer I

5 - 10 years

7 - 11 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • 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**:

  • 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.

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