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Data Engineer
Location: Remote (100%)
We are looking for a Data Engineer to support the integration of laboratory instrument data using industry standards developed by the Allotrope Foundation. You will help build scalable data solutions that enable seamless access to analysis-ready data, supporting pharmaceutical research and innovation.
Responsibilities
Develop and maintain ETL pipelines for laboratory data integration
Design and optimize SQL queries and data processing workflows
Work with NoSQL databases and data models
Develop solutions in Python
Support cloud and DevSecOps initiatives, including CI/CD and Infrastructure as Code
Contribute to data standards and schema development
Requirements
Strong experience in Data Engineering (SQL, ETL development)
Hands-on experience with NoSQL databases
Proficiency in Python
Experience with DevSecOps practices, including CI/CD, Git, Docker, and Infrastructure as Code (Terraform/CloudFormation)
Professional proficiency in English
Nice to Have
Knowledge of semantic web technologies (RDF, SPARQL)
Experience with AWS services (Lambda, Glue, Step Functions)
Familiarity with Jira and Confluence
Strong communication and collaboration skills
What We Offer
100% remote work
Opportunity to contribute to cutting-edge pharmaceutical research
Modern cloud and data engineering environment
International team and long-term collaboration opportunities
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