Position: Data Scientist / Data Engineer
Location: 100% Remote
Duration: 6+ months
VIsa : Green Card/ US Citizen
Jd
Broad knowledge of Cloud (Azure, GCP, AWS) they have all of them
DEVOPS experience
• Example they have 100 JBOSS jobs in one place and need to compare the data, run tests, and do predictive analysis to forecast
Data Engineer with a Data Analytics background and infrastructure
Experience in Big Query, DataDog, or Elastic
Able to provision through terraform and ansible
Position will be a member of the Datacenter Engineering Group within Enterprise IT with an
initial focus on private cloud service delivery or the delivery of infrastructure solutions
running across both public (AWS, GCP and Azure) and private cloud environments. In
addition, the uniqueness of this roll the candidate will be responsible for developing data
pipeline architectures (including infrastructure) which includes extracting, aggregating, and
analyzing infrastructure performance data alongside business data to forecast infrastructure
capacity/trending/risk needs.
This role requires a blend of data pipeline/engineer and engineering skills to create simulations and predictive models.
Job Description
In addition to the technical competencies outlined in the job description, the ideal candidate will have experience with at least a subset of the following:
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 principle
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 onextracting, 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 cross-functional 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.
Thanks & Regards,
Bhupender Singh
XL Impex Inc dba
Atika Technologies
1 Clyde Road Suite 201
Somerset NJ 08873
Direct: 609-619-5784
bhupender AT atikatechnologies DOT com
https://www.atikatechnologies.com
LinkedIn URL: linkedin.com/in/bhupender-singh-4b271618a
Location: Anywhere
Posted: Oct. 17, 2024, 9:21 p.m.
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