What are the responsibilities and job description for the Senior Data Engineer position at TekWissen ®?
Overview
Tekwissen group, is a workforce management provider throughout the USA and many other countries in the world. This client is a German multinational Pharmaceutical and biotechnology company and one of the largest pharmaceutical companies in the world, headquartered in Leverkusen, and areas of business include pharmaceuticals; consumer healthcare products, agricultural chemicals, seeds and biotechnology products.
Job Title: Senior Data Engineer
Location: Creve Coeur, MO 63141
Duration: 12 Months
Job Type: Contract
Work Type: Remote
Job Description
What you will do is why you should join us:
Tekwissen group, is a workforce management provider throughout the USA and many other countries in the world. This client is a German multinational Pharmaceutical and biotechnology company and one of the largest pharmaceutical companies in the world, headquartered in Leverkusen, and areas of business include pharmaceuticals; consumer healthcare products, agricultural chemicals, seeds and biotechnology products.
Job Title: Senior Data Engineer
Location: Creve Coeur, MO 63141
Duration: 12 Months
Job Type: Contract
Work Type: Remote
Job Description
What you will do is why you should join us:
- Be a critical senior member of a data engineering team focused on creating distributed analysis capabilities around a large variety of datasets
- Take pride in software craftsmanship, apply a deep knowledge of algorithms and data structures to continuously improve and innovate
- Work with other top-level talent solving a wide range of complex and unique challenges that have real world impact
- Explore relevant technology stacks to find the best fit for each dataset
- Pursue opportunities to present our work at relevant technical conferences
- Google Cloud Next 2019: https://www.youtube.com/watch?v=fqvuyOID6v4
- GraphConnect 2015: https://www.youtube.com/watch?v=6KEvLURBenM
- Google Cloud Blog: https://cloud.google.com/blog/products/containers-kubernetes/google-kubernetes-engine-clusters-can-have-up-to-15000-nodes
- Project your talent into relevant projects. Strength of ideas trumps position on an org chart
- At least 7 years experience in software engineering
- At least 2 years experience with Go
- Proven experience (2 years) building and maintaining data-intensive APIs using a RESTful approach
- Experience with stream processing using Apache Kafka
- A level of comfort with Unit Testing and Test Driven Development methodologies
- Familiarity with creating and maintaining containerized application deployments with a platform like Docker
- A proven ability to build and maintain cloud based infrastructure on a major cloud provider like AWS, Azure or Google Cloud Platform
- Experience data modeling for large scale databases, either relational or NoSQL
- Experience with protocol buffers and gRPC
- Experience with: Google Cloud Platform, Apache Beam and or Google Cloud Dataflow, Google Kubernetes Engine or Kubernetes
- Experience working with scientific datasets, or a background in the application of quantitative science to business problems
- Bioinformatics experience, especially large scale storage and data mining of variant data, variant annotation, and genotype to phenotype correlation
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