Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches to tackle global health threats
Job Summary
Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches to tackle global health threats.
Design, write, and maintain high-quality SQL and Python scripts for data transformations, implementing DDL and advanced data operations to ensure accurate, well-structured, and scalable data.
Collaborate with platform, DevOps, and analytics teams to ensure reliable, automated data pipelines deployed through a company's Terraform-based CI/CD setup, operating with a strong focus on data quality and compliance.
Matching Summary
Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches to tackle global health threats.
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 and reliability focus
Nice-to-have
Passion for data-backed approaches
Digital transformation journey
Collaboration with analytics teams
Exposure to Databricks
Intellectually curious mindset
Key Requirements
7+ years developing data pipelines & data infrastructure
Strong practical experience with SQL and Python
Demonstrated experience building production data pipelines
Experience with cloud-based data platforms (AWS or Azure)
Experience in regulated or enterprise environments