What are the responsibilities and job description for the Cloud Engineer position at Mindlance?
Job Description:
Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer that will be playing a key role in helping on enabling Analytics Tools for Client research community and supporting Analytics application migration to Cloud and bring in key transformational changes to how we deploy Analytics Tools using cloud native architecture.
Duties & Responsibilities:
Assess, design, and build workflows to integrate solutions for scalable, reliable, and automated “R” analytics data science products on AWS
Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio Connect via CI/CD.
Design, develop, test, and support R programs to execute modeling application systems via distributed computing on AWS
Support business applications in deploying models into the cloud with containerization technologies such as Docker and Kubernetes
Leverage Analytics Data Platform tools (RStudio on Domino/Sagemaker, RStudio Connect), AWS services to build workflows that will support deployment of analytics applications developed in R
Required qualifications:
5 years overall experience in IT related experience including software development, Data Scientists & DevOps functions.
3 years solid development experience in R, R packages, RStudio, RStudio Connect, RStudio Package Manager, Python, SQL, Web & Cloud Technologies
2 years of experience with AWS services supporting data science and analytics (EC2, S3, RDS, Lambda, Sagemaker, Glue)
2 years of experience in building and maintaining CI/CD tooling (Jenkins, Bitbucket Pipelines, GitHub).
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Salary : $65 - $70
