Sr. Data Engineer - Google Cloud Platform

Servier Pharmaceuticals - Boston, MA

Full-time - Mid Level

Boston, MA

Professional, Scientific, and Technical Services

About the position

The Sr. Data Engineer role at Servier Pharmaceuticals focuses on leveraging Google Cloud Platform (GCP) to build, manage, and optimize data processes that support US-based research and clinical functions. This position is designed for an individual contributor with expertise in advanced data and analytics services, who will collaborate with data scientists, statisticians, and other stakeholders to enhance business decision-making. The role involves working closely with both local and global teams to ensure the effective delivery of data solutions in a highly regulated environment.

Responsibilities

• Lead small-to-mid-size projects to scope, design, and implement solutions for US-based needs in collaboration with the global Data Platform team.
• Gather local requirements and document them to facilitate the implementation of requested changes or propose new solutions.
• Translate requirements into technical solutions using a stack that includes Google Cloud Platform (GCP), BigQuery, vertexAI, Python, nextflow, Posit RStudio, Terraform, Argo, docker, GitHub, and SAS.
• Involve in all technical aspects of the product team work, including code practices, data sourcing, feature engineering, solution design, and PR/MR review.
• Identify and facilitate local issues with the global team to provide appropriate solutions.
• Maintain the data ecosystem in an optimal operational state, following established standards and processes with a mindset of continuous improvement.
• Ensure security, privacy, and compliance of data and processes in a highly regulated environment.
• Work collaboratively and influentially in a cross-functional global environment.
• Keep current with and leverage the latest data technologies and concepts, contributing to the stakeholder roadmap.

Requirements

• 5+ years of experience, with 3+ years in cloud data platforms and advanced analytics.
• Proven experience with Google Cloud Data Platform.
• Strong listening and communication skills, with the ability to work in a global environment.
• Solution-oriented critical thinker with an agile mindset.

Nice-to-haves

• Bachelor's in Computer Science, Data Science, Math, or related discipline.
• Cloud certifications, especially Google Cloud Certifications.
• Experience in the Pharmaceutical industry.
• Technical experience with SQL, R, Python, SAS programming, Linux, and Kubernetes.

Benefits

• Diversity, equity, and inclusion commitment.
• Opportunities for professional development.