DE-Senior-Python Data engineer

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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
  
  

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