dsm-firmenich
R&D Data Management Delivery Expert(m/w/x)
Full-timeOn-siteExperienced
Kaiseraugst, Genf
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ETL pipeline design and MongoDB schema implementation for FAIR data curation at pharmaceutical firm with 10,000+ employees. Proficiency in Python scripting and ETL orchestration required. Partial home office, 30 days vacation.
Requirements
- Experience in data engineering and warehousing
- Understanding of Text Analytics and LLMs
- Extensive experience in Data Engineering
- Strong knowledge of ETL orchestration
- Proficiency in Python scripting
- Expertise in Text Analytics and LLMs
- Familiarity with FAIR principles
- Experience with scientific text-based datasets
- Interdisciplinary teamwork and communication skills
Tasks
- Design and implement ETL pipelines
- Design and implement MongoDB schemes
- Manage the document database
- Curate and FAIRify data
- Clean, parse, disambiguate, and deduplicate data
- Harmonize data and maintain the database
- Integrate new data sources
- Develop robust parsers and text cleaning workflows
- Build a data warehouse and APIs
- Enhance the overall user experience
- Provide user support for RoMine datasets
- Create documentation and conduct training
- Support specific data use cases
Work Experience
approx. 4 - 6 years
Education
Bachelor's degreeORMaster's degree
Languages
English – Business Fluent
Tools & Technologies
NoSQLMongoDBPythonETL orchestration toolsText AnalyticsText and Data Mining (TDM)Large Language Models (LLMs)High-performance computing environmentsAPI developmentGraphQLAirflow
Benefits
Flexible Working
- •Partial home office
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Datalynx AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ETL pipeline design and MongoDB schema implementation for FAIR data curation at pharmaceutical firm with 10,000+ employees. Proficiency in Python scripting and ETL orchestration required. Partial home office, 30 days vacation.
Requirements
- Experience in data engineering and warehousing
- Understanding of Text Analytics and LLMs
- Extensive experience in Data Engineering
- Strong knowledge of ETL orchestration
- Proficiency in Python scripting
- Expertise in Text Analytics and LLMs
- Familiarity with FAIR principles
- Experience with scientific text-based datasets
- Interdisciplinary teamwork and communication skills
Tasks
- Design and implement ETL pipelines
- Design and implement MongoDB schemes
- Manage the document database
- Curate and FAIRify data
- Clean, parse, disambiguate, and deduplicate data
- Harmonize data and maintain the database
- Integrate new data sources
- Develop robust parsers and text cleaning workflows
- Build a data warehouse and APIs
- Enhance the overall user experience
- Provide user support for RoMine datasets
- Create documentation and conduct training
- Support specific data use cases
Work Experience
approx. 4 - 6 years
Education
Bachelor's degreeORMaster's degree
Languages
English – Business Fluent
Tools & Technologies
NoSQLMongoDBPythonETL orchestration toolsText AnalyticsText and Data Mining (TDM)Large Language Models (LLMs)High-performance computing environmentsAPI developmentGraphQLAirflow
Benefits
Flexible Working
- •Partial home office
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Datalynx AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Datalynx AG
Industry
Pharmaceuticals
Description
Das Unternehmen erbringt IT-Dienstleistungen rund um digitale Lösungen, Qualitätsmanagement und Workforce Solutions.
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