Engineer - Data Engineer

Introduction to role

Join AstraZeneca, where groundbreaking science meets innovative technology! As a global leader in biopharmaceutical innovation, we are dedicated to transforming the treatment landscape of some of the most severe diseases worldwide. But at AstraZeneca, its not just about the medicines; its about creating a supportive, empowering, and diverse workplace culture where your unique perspectives are celebrated. Feel empowered, valued, and rewarded as you unleash your creativity in a collaborative environment designed to inspire.

Our R&D IT team is a driving force of technological advancement, backing a range of areas such as Drug Research, Development, and beyond. With our presence spanning across North America, the UK, Sweden, India, and Mexico, we re a truly global powerhouse, united by our passion for innovation. Our Data & Analytics team is at the heart of this mission, specializing in cutting-edge fields like Data Engineering, Generative AI, and Data Science. Join us to not just keep up with the newest technological trends but to set them.

Accountabilities

Architect of Solutions: Lead the design, development, and enhancement of scalable ETL pipelines and Data Products, as part of a Data Mesh inspired strategy.

Technical Expertise: Demonstrate your expertise in ELT solutions (Python, Pyspark, Glue) and AWS ecosystems to deliver exceptional solutions.

Collaborative Spirit: Work hand-in-hand with global and diverse Agile teams, from data to design, to overcome technical data challenges.

Innovate & Inspire: Stay ahead of the curve by integrating the latest industry trends and innovations into your work such as GenAI.

Essential Skills/Experience

- 3 to 4 years of experience
- A proactive mindset and enthusiasm for Agile environments.
- Strong hands-on experience with cloud providers and services.
- Experience in performance tuning SQL and ETL pipelines.
- Extensive experience in troubleshooting data issues, analyzing end-to-end data pipelines and in working with users in resolving issues.
- Masterful debugging and testing skills to ensure excellence in execution.
- Inspiring communication abilities that elevate team collaboration.
- Experience of structured, semi-structured (XML, JSON) and unstructured data handling including extraction and ingestion via web-scraping and FTP/SFTP.
- Production experience delivering CI/CD pipelines (Github, Jenkins, GitHub Actions).
- Excellent Cloud DevOps Engineer who can develop, test and maintain CICD Pipeline using Terraform, cloud formation.
- Remain up to date with latest technologies, like GenAI / AI platforms and FAIR scoring to improve outcomes.