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W2 Contract -Python Google Cloud Platform Engineers || Charlotte, NC

Salary undisclosed
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Job Type: Python Google Cloud Platform Engineers
Location: Charlotte, NC (Hybrid: 3 Days onsite and 2 Days remote)
Job Type: W2 Contract

Skill Required :

  • 7+ years hands on experience with Google Cloud Platform
  • Python
  • Spark
  • CI/CD
  • OpenShift
  • Migration work experience
  • Django
  • Kubernetes
  • Airflow
  • Banking experience with risk models is a plus

Description:

This group is part of the risk technology space, whose business partners are the quantitative modelers/developers building the risk models. One engineer will be responsible for building the platforms that support the full lifecycle of the models built by the business partners (must be able to support the whole life cycle of the model), and be able to write code in Python, test, and then deploy into to the cloud. This person must be able to code and understand PySpark, and Airflow, experience with on-prem and Google Cloud Platform specifically. Since the team is currently in the middle of a migration, another engineer will work on re-writing the models, converting them to the new version, and containerizing them. One engineer could work on the data pipeline and orchestration. The responsibilities will be spread out as the phases of the project evolve.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

Job Type: Python Google Cloud Platform Engineers
Location: Charlotte, NC (Hybrid: 3 Days onsite and 2 Days remote)
Job Type: W2 Contract

Skill Required :

  • 7+ years hands on experience with Google Cloud Platform
  • Python
  • Spark
  • CI/CD
  • OpenShift
  • Migration work experience
  • Django
  • Kubernetes
  • Airflow
  • Banking experience with risk models is a plus

Description:

This group is part of the risk technology space, whose business partners are the quantitative modelers/developers building the risk models. One engineer will be responsible for building the platforms that support the full lifecycle of the models built by the business partners (must be able to support the whole life cycle of the model), and be able to write code in Python, test, and then deploy into to the cloud. This person must be able to code and understand PySpark, and Airflow, experience with on-prem and Google Cloud Platform specifically. Since the team is currently in the middle of a migration, another engineer will work on re-writing the models, converting them to the new version, and containerizing them. One engineer could work on the data pipeline and orchestration. The responsibilities will be spread out as the phases of the project evolve.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job