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Senior Global Data Engineer

External
sandoz logoSandoz · Telangana (sandoz)
Full-timeHybridToday
AgileAWSBudget ManagementComplianceData WarehousingETL
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Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in data engineering.
  • Strong background in the pharmaceutical industry and its related data
  • Proficiency with Databricks, pyspark, AWS and Python.
  • Strong SQL skills
  • Experience with big data technologies
  • Knowledge of data warehousing concepts and ETL processes.
  • Excellent problem-solving and analytical skills.
  • Why Sandoz?
  • Generic and Biosimilar medicines are the backbone of the global medicines industry. Sandoz, a leader in this sector, provided more than 900 million patient treatments across 100+ countries in 2024 and while we are proud of this achievement, we have an ambition to do more!
  • With investments in new development capabilities, production sites, new acquisitions, and partnerships, we have the opportunity to shape the future of Sandoz and help more patients gain access to low-cost, high-quality medicines, sustainably.
  • Join us!
  • Skills Desired
  • Budget Management, Business Acumen, Influencing Skills, Performance Management, Risk Management, Service Delivery Management, Strategic Planning, Waterfall Project Management

Benefits

Flexible schedule

Additional Information

Job Description Summary The Data Engineer - Databricks will be responsible for building and optimizing our data pipelines, data architectures, and data sets. You will work closely with the Stakeholder Success Teams to support their data needs and maximize the value of our data processing capabilities in alignment with GxP, GDPR, and industry regulations. Job Description Sandoz continues to go through an exciting and transformative period as a global leader and pioneering provider of sustainable Biosimilar and Generic medicines. As we continue down this new and ambitious path, unique opportunities will present themselves, both professionally and personally. Job Summary: The Data Engineer - Databricks will be responsible for building and optimizing our data pipelines, data architectures, and data sets. You will work closely with the Stakeholder Success Teams to support their data needs and maximize the value of our data processing capabilities in alignment with GxP, GDPR, and industry regulations. Your Key Responsibilities: Your responsibilities include, but not limited to: Design, develop, and maintain scalable and robust data pipelines on Databricks. Collaborate with domain specific Stakeholder Success Teams to understand data requirements and deliver solutions. Collaborate with data architects for the data modelling through bronze, silver, gold layer Collaborate with source teams and other dependent teams to ensure smooth and successful integration. Optimize and troubleshoot existing data pipelines for performance and reliability. Ensure data quality and integrity across various data sources. Implement data security and compliance best practices. Monitor data pipeline performance and conduct necessary maintenance and updates. Document data pipeline processes, technical specifications and data models.


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