Pharmaceutical Supply Chain Data Engineer

2 weeks ago

Bengaluru, Karnataka, India beBeeData Full time US$ 1,26,438 - US$ 1,68,618
Pharmaceutical Supply Chain Data Engineer

We are seeking a highly skilled Data Engineer with expertise in integrating data from external sources, including AWS services and enterprise supply chain solutions like SAP. The ideal candidate will also have strong experience in data governance and building data automation tools using Python and related languages.

Key Responsibilities:

  • 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.

Required Skills and Qualifications:

  • 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.
  • Hands-on experience with SAP data models and integrating SAP data with Azure data lake.

Benefits:

  • Competitive salary commensurate with experience.
  • Professional development training and certifications.

Work Environment:

  • Remote work arrangement with flexible hours.
  • State-of-the-art technology and tools.
  • Collaborative, innovation-driven culture.
  • Access to cutting-edge pharmaceutical industry data and challenges.
  • Opportunity to shape an innovative pharma analytics platform.

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