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Data Manager (m/f/d)
Eingestellt von Hays aus Mannheim, Universitätsstadt
Gesuchte Skills: Engineering, Design
Projektbeschreibung
REFERENCE NUMBER:
483069/1
MY DUTIES:
- Design, create, test and maintain optimal data pipeline architecture to ensure that it supports the requirements of the stakeholders
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Develop data set processes for data modelling, mining, and production to deliver data
- Delivery of clear, maintainable, and well-tested code in a timely manner
- Identify, design and implement internal process improvements; automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Create data tools/scripts for data curators and data scientists as needed
- Collaboration with scientists, data managers and technology teams to document and leverage their understanding of the data
- Actively participate in agile work practices
- Adopt and improve on the strong engineering practices followed by technology teams
- Analyse analytical blueprints to identify technical gaps and build best practices
MY QUALIFICATIONS:
- MSc or PhD in a quantitative / computational science (e.g. bioinformatics, machine learning, statistics, physics, mathematics etc.)
- Fluency in English (oral and written)
- Software engineering experience (versioning, Scrum, testing, collaboration good practices)
- Strong experience in Python for pipelines, engineering practices, (e.g. Python and Spark; Dask, Snakemake, etc.)
- Some experience in R for data analysis (SparkR/sparklyr, tidyverse, mlr etc.)
- Experience in computational environments for large-scale processing (high-performance computing and/or Spark)
- Analysis of clinical trial data, incl. understanding of data formats, processes
MY BENEFITS:
- Working in an international environment
- Renowed pharmaceutical company
- Flexibility
ABOUT HAYS:
IT specialists hold all the cards: for its customers in industry and the public sector, Hays is looking for motivated employees who like looking at the bigger picture and growing with new challenges. We make sure that you benefit from our many years of experience in IT recruitment and will find you the right role to suit your skills and interests – all completely free of charge to you. Register with us and reap the benefits of job offers that are both interesting and relevant to your skills and experience.
MY CONTACT AT HAYS:
My contact person
Mona Edith Runge
Reference number
483069/1
Contact
E-Mail: [email protected]
483069/1
MY DUTIES:
- Design, create, test and maintain optimal data pipeline architecture to ensure that it supports the requirements of the stakeholders
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Develop data set processes for data modelling, mining, and production to deliver data
- Delivery of clear, maintainable, and well-tested code in a timely manner
- Identify, design and implement internal process improvements; automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Create data tools/scripts for data curators and data scientists as needed
- Collaboration with scientists, data managers and technology teams to document and leverage their understanding of the data
- Actively participate in agile work practices
- Adopt and improve on the strong engineering practices followed by technology teams
- Analyse analytical blueprints to identify technical gaps and build best practices
MY QUALIFICATIONS:
- MSc or PhD in a quantitative / computational science (e.g. bioinformatics, machine learning, statistics, physics, mathematics etc.)
- Fluency in English (oral and written)
- Software engineering experience (versioning, Scrum, testing, collaboration good practices)
- Strong experience in Python for pipelines, engineering practices, (e.g. Python and Spark; Dask, Snakemake, etc.)
- Some experience in R for data analysis (SparkR/sparklyr, tidyverse, mlr etc.)
- Experience in computational environments for large-scale processing (high-performance computing and/or Spark)
- Analysis of clinical trial data, incl. understanding of data formats, processes
MY BENEFITS:
- Working in an international environment
- Renowed pharmaceutical company
- Flexibility
ABOUT HAYS:
IT specialists hold all the cards: for its customers in industry and the public sector, Hays is looking for motivated employees who like looking at the bigger picture and growing with new challenges. We make sure that you benefit from our many years of experience in IT recruitment and will find you the right role to suit your skills and interests – all completely free of charge to you. Register with us and reap the benefits of job offers that are both interesting and relevant to your skills and experience.
MY CONTACT AT HAYS:
My contact person
Mona Edith Runge
Reference number
483069/1
Contact
E-Mail: [email protected]
Projektdetails
Geforderte Qualifikationen
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Kategorie:
Medien/Design, Ingenieurwesen/Technik