TekWissen is a global workforce management provider headquartered in Ann Arbor; Michigan that offers strategic talent solutions to our clients worldwide. 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: IT Cloud Engineer
Location: St Louis MO 63146
Job Type: Temporary Assignment
Job Description:
- 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
- Mentor and guide other engineers on areas of expertise
- Explore relevant technology stacks to find the best fit for each dataset
- Lead technical initiatives communicating your technical vision and strategy to the broader organization
- Project your talent into relevant projects. Strength of ideas trumps position on an org chart
- Pursue opportunities to present our work at relevant technical conferences
- Google Cloud Next 2019:
- Google Cloud Next 2024:
- GraphConnect 2015:
- Google Cloud Blog:
-
- -uses-alloydb
- Cloud Wars:
- Foss4G:
If you share our values you should have:
- A track record of shipping and maintaining multiple major product releases
- Proven experience developing and launching a software product or significant feature written in Go
- Proven experience 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
- Familiarity with deploying to and working with Kubernetes cluster infrastructure
- 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
- Proficiency in verbal and written English language capable of connecting with diverse individuals actively listening to their needs and supporting meaningful analysis for better decision-making.
Bonus points for:
- Experience with protocol buffers and gRPC
- Experience with: Google Cloud Platform Apache Beam and or Google Cloud Dataflow Google Kubernetes Engine
- 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
TekWisen Group is an equal opportunity employer supporting workforce diversity.
Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor; Michigan that offers strategic talent solutions to our clients worldwide. This client is a German multinational Pharmaceutical and biotechnology company and one of the largest pharmaceutical companie...
TekWissen is a global workforce management provider headquartered in Ann Arbor; Michigan that offers strategic talent solutions to our clients worldwide. 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: IT Cloud Engineer
Location: St Louis MO 63146
Job Type: Temporary Assignment
Job Description:
- 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
- Mentor and guide other engineers on areas of expertise
- Explore relevant technology stacks to find the best fit for each dataset
- Lead technical initiatives communicating your technical vision and strategy to the broader organization
- Project your talent into relevant projects. Strength of ideas trumps position on an org chart
- Pursue opportunities to present our work at relevant technical conferences
- Google Cloud Next 2019:
- Google Cloud Next 2024:
- GraphConnect 2015:
- Google Cloud Blog:
-
- -uses-alloydb
- Cloud Wars:
- Foss4G:
If you share our values you should have:
- A track record of shipping and maintaining multiple major product releases
- Proven experience developing and launching a software product or significant feature written in Go
- Proven experience 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
- Familiarity with deploying to and working with Kubernetes cluster infrastructure
- 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
- Proficiency in verbal and written English language capable of connecting with diverse individuals actively listening to their needs and supporting meaningful analysis for better decision-making.
Bonus points for:
- Experience with protocol buffers and gRPC
- Experience with: Google Cloud Platform Apache Beam and or Google Cloud Dataflow Google Kubernetes Engine
- 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
TekWisen Group is an equal opportunity employer supporting workforce diversity.
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