Beschreibung
Data Engineer (m/f/x)Are you an experienced Data Engineer (m/f/x) looking for a new project? Our client, a large pharmaceuticals company offers an interesting and exciting opportunity for freelance Data Engineering (m/f).
You should be expertise building reliable data pipelines using Spark, Python or R. Additional to that provisioning data/ access to build REST or similiar APIs back-ended by technologies such as ProgresSQL/ ElasticSearch.
Your role as Data Engineer (m/f)
- 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
Required skills
- MSc or PhD in a quantitative / computational science (e.g. bioinformatics, machine learning, statistics, physics, mathematics)
- Computational/quantitative background; degree in a computational science (e.g. computer science, physics, engineering...),
- Software engineering experience (versioning, Scrum, testing, collaboration good practices)
- Some experience with Python for pipelines, engineering practices (e.g. Python + Spark; Dask, Snakemake, etc.)
- Strong experience with Python for pipelines, engineering practices, (e.g. Python + Spark; Dask, Snakemake, etc.)
- Some experience with R for data analysis (SparkR/sparklyr, tidyverse, mlr, ...),
- Experience with computational environments for large-scale processing (high-performance computing and/or Spark),
- Analysis of clinical trial data, incl. understanding of data formats, processes
- Languages: Fluent in English (oral and written)
Further information
- Location: Basel
- Start date: 01.10.2020
- Duration: 12 months
- Workload: min. 70%
Interested?
If you would like to apply for this pharmaceutical project as Data Engineer (m/f/x), please contact me via phone for more information. Or you can apply directly by clicking the Apply button.
We are looking forward to your application.
Sthree Switzerland is acting as an Employment Business in relation to this vacancy.