- Design and manage ETL pipelines for large-scale scientific data integration into cloud-based repositories.
- Lead a data engineering team
- Automate workflows using tools like Airflow, AWS Step Functions, and Databricks Workflows.
- Develop and maintain databases for various scientific data and ensure their integration with analysis applications and AI tools.
- Coordinate with external partners, including CRO's and technology vendors, to enhance data engineering capabilities.
- Establish best practices and frameworks within the team, promoting optimal use of cloud services and tools.
- BS/MS in Computer Science, Bioinformatics, or related field with 12+ or a PhD with 8+ years of experience.
- Expertise in ETL processes, automation, and workflow management tools and CI/CD
- Proficient in Python, with a strong grasp of libraries like pandas.
- Familiarity with data architectures like Lakehouse and understanding of data management paradigms such as data fabrics.
- Knowledge of clinical data standards, GxP compliance, and data quality and governance tools.
- Experience with AWS cloud services and modern software development practices.
- Experience with Translational, Genomics or Clinical based data sets.
- Experience with LIMS & ELN, and GxP
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Director/AD of Data Engineering - New Jersey, United States - Skills Alliance
Description
Director/AD of Data Engineering
Overview:
We are seeking a Data Engineering Lead to join our global data engineering team. The candidate will play a crucial role in developing data solutions for functions including Data Science, Translational Medicine, and Research.
Responsibilities:
Requirements:
If you are interested please apply.