Data Engineering Lead for Manufacturing Analytics

hace 2 días


Xico, México Novartis A tiempo completo

Company Overview

At Novartis, we strive to be a leader in healthcare by transforming the way medicines are developed and delivered. Our commitment to innovation and excellence drives us to seek talented individuals like you to join our team.

About the Role

We are seeking an experienced Data Engineering Lead to spearhead our manufacturing analytics initiatives. In this role, you will design and develop modular, reusable, and maintainable software solutions that support our manufacturing organization and strategic initiatives.

Key Responsibilities

  • Develop and manage code repositories for manufacturing analytics
  • Collaborate with cross-functional teams to drive use cases on real-time and near-real-time analytics
  • Ensure designed solutions adhere to architectural and development standards
  • Drive innovations and add measurable value to the manufacturing business

Requirements and Qualifications

  • 5+ years of experience in data engineering or related field
  • Hands-on expertise in AWS services, SQL, Python, Databricks, Snowflake, Qlik Sense
  • Strong data engineering fundamentals in data management and back-end system design
  • Experience with SAP Analytics (BW on HANA, BW/4HANA, S/4 HANA, SAC) is a plus

Benefits and Rewards

  • A competitive salary range of $120,000 - $180,000 per year, based on location and experience
  • A comprehensive benefits package, including health insurance, retirement savings plan, and paid time off

Why Join Us?

At Novartis, we offer a dynamic work environment, opportunities for career growth, and a chance to make a meaningful impact in the lives of patients and communities. If you are passionate about data engineering and manufacturing analytics, apply now to join our team as a Data Engineering Lead


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