Pharmaceutical Data Engineer

3 days ago

Allahabad, Uttar Pradesh, India beBeeData Full time US$ 1,50,000 - US$ 2,00,000

Pharmaceutical Supply Chain Data Engineer

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We are seeking a skilled Data Engineer to join our team. The ideal candidate will have 5+ years of experience in data engineering, with a strong focus on cloud integration and data governance.

Key Responsibilities:

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  • 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:

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  • 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:

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  • 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:

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  • 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:

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  • 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

Required Skills & Qualifications:

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  • 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:

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

Work Environment:

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  • 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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