Platform Engineer
Platform Engineer
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Job Description
Platform Engineer
Madison Wisconsin
This roll will require a blend of engineering skills with a strong background in data analysis forecasting and data pipeline infrastructure
- automation of infrastructure delivery with configuration orchestration and management solutions (e.g. Ansible/AAP and Terraform)
- understanding of coding practices source code control (Gitlab) and developing in a preferred scripting language (e.g. Python UNIX Shell Scripting)
- strong experience with Linux and Windows systems engineering principles
- strong understanding of application resiliency and data resiliency across multiple platforms.
- Strong hands on experience in data observability tools such as Datadog
- experience in data pipeline engineering and architecture which can focus on extracting aggregating and analyzing infrastructure performance data alongside business data to forecast infrastructure capacity needs.
- This engineer should be able to take a data analysis problem and produce recommendations architecture and create a pipeline to produce a result to the problem.
- Collaboration and Communication:
- Work closely with crossfunctional teams to understand business requirements and drivers.
- Communicate findings and recommendations to stakeholders through reports and presentations.
- Create and maintain comprehensive documentation for data processes and models.
- Ensure compliance with company policies industry standards and regulatory requirements.
Required Skills : This roll will require a blend of engineering skills with a strong background in data analysis forecasting and data pipeline infrastructure automation of infrastructure delivery with configuration orchestration and management solutions (e.g. Ansible/AAP and Terraform) understanding of coding practices source code control (Gitlab) and developing in a preferred scripting language (e.g. Python UNIX Shell Scripting) strong experience with Linux and Windows systems engineering principles strong understanding of application resiliency and data resiliency across multiple platforms. Strong hands on experience in data observability tools such as Datadog experience in data pipeline engineering and architecture which can focus on extracting aggregating and analyzing infrastructure performance data alongside business data to forecast infrastructure capacity needs. This engineer should be able to take a data analysis problem and produce recommendations architecture and create a pipeline to produce a result to the problem. Collaboration and Communication: Work closely with crossfunctional teams to understand business requirements and drivers. Communicate findings and recommendations to stakeholders through reports and presentations. Create and maintain comprehensive documentation for data processes and models. Ensure compliance with company policies industry standards and regulatory requirements.
Employment Type
Full Time
