Sr Data Engineer - Biological Studies

Sr Data Engineer

What you will do

• Let's do this. Let's change the world. In this vital role you will design, build and maintain data lake solutions for scientific data that drive business decisions for Research. You will build scalable and high-performance data engineering solutions for large scientific datasets and collaborate with Research customers
• Design, develop, and implement data pipelines, ETL / ELT processes, and data integration solutions
• Take ownership of data pipeline projects from inception to deployment, run scope, timelines, and risks
• Develop and maintain data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency
• Optimize large datasets for query performance
• Collaborate with global multi-functional teams including research scientists to understand data requirements and design solutions that meet business needs
• Implement data security and privacy measures to protect sensitive data
• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
• Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
• Identify and resolve [complex] data-related challenges
• Adhere to standard methodologies for coding, testing, and designing reusable code / component
• Explore new tools and technologies that will help to improve ETL platform performance
• Participate in sprint planning meetings and provide estimations on technical implementation
• Maintain comprehensive documentation of processes, systems, and solutions

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The ideal candidate possesses experience in the pharmaceutical or biotech industry, demonstrates deep technical skills, is proficient with big data technologies, and has a deep understanding of data architecture and ETL processes.

Basic Qualifications :

Preferred Qualifications :

3+ years of experience in designing and supporting biopharma scientific research data pipelines.

Must-Have

Skills :

Good-to-Have

Skills :

A passion for tackling complex challenges in drug discovery with technology and data

Experience writing and maintaining technical documentation in Confluence

Professional Certifications :

Databricks Certified Data Engineer Professional preferred

Skills Required

Pyspark, Apache Spark, Databricks, Sql, Python