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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