Highly Skilled Cloud Data Specialist

14 hours ago

Bareilly, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 1,92,00,000 - ₹ 2,43,20,000
Data Engineer – Cloud Integration

Unlocking pharmaceutical supply chain data through cutting-edge engineering and multi-cloud innovation is a mission critical goal.

About the Role

We are seeking a highly skilled Data Engineer with 5+ years of experience to join our organization. The ideal candidate will have deep expertise in cloud-based technology stacks, including Azure services, AWS-based data lakes/warehouses, and SAP systems.

  • Data Integration & Pipeline Development
    • Design and build scalable data pipelines using Azure services.
    • Develop and maintain data integration strategies for ingesting and harmonizing data from external sources.
    • 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 cloud platforms.
    • Establish data governance frameworks and ensure data quality across all pipelines.
    • Implement security best practices for handling sensitive 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.

We offer a competitive salary, professional development training and certifications, 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, and opportunity to shape an innovative pharma analytics platform.

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