Pharmaceutical Supply Chain Data Solutions Specialist

2 days ago

India beBeeDataEngineer Full time ₹ 9,00,000 - ₹ 12,00,000
Pharmaceutical Supply Chain Data Engineer

We are seeking a highly skilled Pharmaceutical Supply Chain Data Engineer to join our innovative team. As a key member of our organization, you will play a vital role in designing and implementing cutting-edge data solutions that drive business growth and improvement.

Key Responsibilities:

  • Data Integration & Pipeline Development:
    • Design, build, and maintain scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.
    • Lead the integration strategy for ingesting and harmonizing data from external sources, including AWS-based data lakes/warehouses (such as S3, Redshift) and SAP systems.
    • Automate ETL processes for data extraction, transformation, and loading across hybrid and multi-cloud environments.
    • Build and maintain real-time and batch data integration workflows between Azure, AWS, and on-premises sources.
  • Data Architecture & Infrastructure:
    • Design and implement data lake and data warehouse solutions on Azure platform.
    • Establish data governance frameworks and ensure data quality across all pipelines.
    • Implement security best practices for handling sensitive pharmaceutical data.
    • Create and maintain data documentation and lineage tracking.
  • Data Governance & Quality:
    • Define and enforce data governance frameworks: data cataloging, lineage, quality, privacy, and compliance.
    • Implement robust data validation, cleansing, and monitoring systems to ensure accuracy and reliability.
    • Support security standards through effective data management practices.
  • Automation & Tooling:
    • Develop data automation tools and reusable components using Python, PySpark (and other relevant frameworks/languages).
    • Enable end-to-end process automation for data ingestion, processing, and reporting.
    • Implement CI/CD processes for data solutions, including testing, monitoring, and alerting.
  • Analytics & Reporting Support:
    • Collaborate with data scientists and analysts to support advanced analytics.
    • Build data models that enable risk assessment and supply chain optimization.
    • Develop APIs and data services to support front-end applications.
    • Create monitoring and alerting systems for data pipeline health.

Requirements:

  • 5+ years of professional data engineering experience.
  • Data Integration: Proven track record integrating data from AWS services (S3, Redshift, Glue, etc.) into Azure or other cloud environments.
  • Azure Data Services: Expert-level knowledge of Azure Data Factory, Azure Synapse Analytics, Data Bricks, Azure Data Lake Storage, and Azure SQL Database, Apache Spark.
  • Database Technologies: Strong knowledge of both relational (SQL Server, PostgreSQL) and NoSQL (Cosmos DB) databases.
  • Programming Languages: Proficiency in Python, SQL, PySpark and PowerShell for data automation and wrangling.
  • Version Control: Proficiency with Git and Azure DevOps.

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