Senior Data Developer I

Job Description: Senior Data Developer I
Location: Gurugram, India
Employment Type: Full-Time
Experience Level: Mid to Senior-Level
Department: Data & Analytics / IT
Job 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, 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.
Key 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.com 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.
Required Qualifications:
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Bachelor’s or Master’s degree in Computer Science.
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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.
Certifications (Preferred):
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Microsoft Certified: DP-700 – Fabric Analytics Engineer Associate
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Databricks Certified Data Engineer Associate or Professional
Preferred Skills:
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Preferred Skills:
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Strong knowledge of Power BI (highly preferred)
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Familiarity with HIPAA, GxP, and 21 CFR Part 11 compliance
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Experience working with ERP data from Salesforce.com and SAP S/4HANA
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Exposure to clinical trial, regulatory submission, or quality management data
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Good understanding of AI and ML concepts
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Experience working with APIs
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Excellent communication skills and the ability to collaborate across global teams

Location - Gurugram

Mode - Hybrid