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Sr. Cloud Engineer to design and develop enterprise software applications and platforms for CVS Pharmacy, Inc., a CVS Health company. The position involves developing software solutions, managing project execution, determining feasibility of solutions, writing and reviewing code, collaborating with cross-functional teams, and mentoring junior team members.
Job Responsibility:
Design and develop enterprise software applications and platforms
Develop software solutions to meet business requirements and manage project execution to ensure adherence to schedule and scope
Determine feasibility of solutions design and prepare technical design documentation
Plan stages of application development to improve functionality and features with a focus on performance, reliability, and maintainability
Write and review high quality code and perform unit and/or automation testing
Confer with project personnel to identify and resolve problems
Monitor progress milestones and deliverables
Support applications, systems, and databases used to process prescriptions, claims, and related healthcare activities
Collaborate with cross-functional teams on applications development, technical requirements, code review, project deliverables, quality assurance, and software development best practices
Mentor junior team members
Requirements:
Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Engineering, or a related field
5 years of progressive, postbaccalaureate experience in the job offered or related occupation
5 years of experience in XML, JSON, HTML, CCC and JavaScript
5 years of experience analyzing large data sets from multiple data sources in healthcare, business, or retail sector
5 years of experience with SAS or SQL programming languages
5 years of experience designing and optimizing queries to build data pipelines
5 years of experience with cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
5 years of domain support for healthcare or retail organization
5 years of experience with large-scale applications development, data science, or data analytics projects
5 years of experience designing data models and solutions for analytical and reporting use cases
5 years of experience with feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation
5 years of experience with quantitative analysis techniques, including clustering, regression and pattern recognition
5 years of experience with end-to-end data science lifecycle/workflows
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