Overview
We are seeking a skilled GCP Data Pipeline Engineer to develop and support cloud-based data solutions. The successful candidate will work closely with scientists and stakeholders to translate technical requirements into actionable data workflows, collaborating with cross-functional teams to deliver reliable solutions. This remote position is ideal for those with strong expertise in Python and Google Cloud Platform (GCP).
Responsibilities
- Develop production-quality Python code following best practices for testing and code review.
- Build and maintain cloud-based data pipelines and analytical solutions on GCP.
- Debug, troubleshoot, and optimize cloud data workflows.
- Collaborate with scientists and stakeholders to understand and translate technical requirements.
- Work with cross-functional teams to ensure delivery of reliable data solutions.
- Implement enhancements based on feedback and technical requirements.
Requirements
- Proven experience in Python programming and cloud data engineering, specifically with GCP.
- Strong expertise in building and maintaining data pipelines.
- Familiarity with testing, code review processes, and engineering best practices.
- Ability to debug and optimize cloud-based workflows.
- Experience collaborating with cross-functional teams.
- Knowledge of bioinformatics or omics data, Nextflow, and AI or LLM-assisted development tools is a plus.