Pharmaceutical Supply Chain Data Engineer

5 days ago

Nellore, Andhra Pradesh, India beBeeDataEngineering Full time ₹ 17,00,000 - ₹ 23,45,000

About Us

Boston Insights is a pioneering startup dedicated to unlocking the full potential of pharmaceutical supply chain data through cutting-edge solutions.

Our mission is to empower pharmaceutical companies with end-to-end visibility, augmenting their risk resilience and agility in ensuring uninterrupted supply of investigational drugs to patients on-time. We are committed to transforming the pharma analytics landscape through innovative engineering and multi-cloud innovation.

Job Description

We are seeking a seasoned Data Engineer with 5+ years of experience, specializing in cloud integration and data automation. The ideal candidate will possess expertise in Microsoft Azure technology stack, including Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Storage.

The successful candidate will lead the design, development, and maintenance of scalable data pipelines, integrating data from external sources, including AWS-based data lakes and warehouses, as well as SAP systems. They will also be responsible for automating ETL processes across hybrid and multi-cloud environments, building real-time and batch data integration workflows between Azure, AWS, and on-premises sources.

Key Responsibilities:

  • Data Integration & Pipeline Development: Design, build, and maintain scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Storage.
  • Cloud Integration Strategy: Lead the integration strategy for ingesting and harmonizing data from external sources, including AWS-based data lakes/warehouses and SAP systems.
  • ETL Automation: Automate ETL processes for data extraction, transformation, and loading across hybrid and multi-cloud environments.
  • Data Architecture & Infrastructure: Design and implement data lake and data warehouse solutions on Azure platform.
  • Data Governance & Quality: Define and enforce data governance frameworks: data cataloging, lineage, quality, privacy, and compliance.

Required Skills & 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.

Benefits:

  • Competitive Salary
  • Professional Development Training and Certifications

Others:

  • Remote Work Arrangement with Flexible Hours
  • State-of-the-art Technology and Tools
  • Collaborative, Innovation-driven Culture

How to Apply:

Please submit your resume and a cover letter highlighting your relevant experience and qualifications. We look forward to receiving your application and exploring how you can contribute to our innovative team

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