Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches
Job Summary
Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches.
Design, write, and maintain high-quality SQL and Python scripts for data transformations, ensuring accuracy, structure, and scalability.
Collaborate with platform, DevOps, and analytics teams to ensure smooth deployment, monitoring, and operation of data workloads in a regulated enterprise environment.
Matching Summary
Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches.
Skills & Requirements
Must-have
SQL and Python for data processing
AWS Glue, Lambda, Amazon Redshift
Terraform-based CI/CD setup
Git-based workflows
Data quality, reliability, and compliance
Nice-to-have
Passion for using data
Digital transformation journey
Business partner mindset
Intellectually curious
Key Requirements
7+ years developing data pipelines
Strong practical experience with SQL and Python
Experience building production data pipelines
Experience with cloud-based data platforms (AWS or Azure)
Hands-on experience with Git and automated deployment
Experience in regulated or enterprise environments
Bachelors’ degree in IT, Computer Science or Technology