DE - Sr-Python Data engineer

At EY, you ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Job Title: Python Data Engineer

Role Overview

We are seeking a highly skilled Python Data Engineer for the development of cutting-edge digital solutions. The ideal candidate will have strong technical expertise in Python, Databricks, AWS, PostgreSQL, and AI frameworks combined with excellent stakeholder management skills

Key Responsibilities

• Solution Design Development:

  • Develop and implement solutions using Python, Databricks, AWS services, and PostgreSQL
  • Ensure system design aligns with business requirements and scalability needs

• Stakeholder Management:

  • Collaborate with product owners, business analysts, and other stakeholders to gather requirements and translate them into technical solutions
  • Communicate technical concepts clearly to non-technical stakeholders

• Quality Delivery:

  • Oversee code reviews, testing strategies, and deployment processes
  • Ensure timely delivery of projects while maintaining high standards of quality

• Domain Expertise:

  • Develop and maintain accurate short and long range pharma forecasts using analytical methods, historical trends, and cross functional inputs
  • Partner with global and regional teams (marketing, finance, market access) to gather requirements and deliver insights, presentations, and concept notes
  • Perform business analysis, sensitivity modeling, and data management while leveraging tools like SQL, Tableau, Alteryx, and basic Python for automation
  • Provide strategic guidance on assumptions, risks, and opportunities, continuously optimizing pharmaceutical forecasting processes

Qualifications

• Bachelor s or master s degree in computer science, Engineering, or related field
• 4+ years of hands-on experience developing cloud-native applications and data solution
• Develop and optimize data pipelines on Databricks using Python to enable scalable data processing and analytics
• Strong proficiency in SQL, including query tuning and performance optimization
• Working knowledge of AWS cloud services and cloud-native architecture patterns
• Experience building and maintaining ETL pipelines and data integration solutions
• Understanding of CI/CD, version control (Git), and Agile development methodologies
• Working with internal AI tools and platforms
• Tool design for AI agents

Nice-to-Have

• Experience with containerization (Docker, Kubernetes)
• Familiarity with Agile methodologies

Why Join Us

• Work on cutting-edge integration and automation projects
• Collaborative and innovative work environment
• Opportunities for continuous learning and certification support

EY | Building a better working world

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