Cloud Engineer
CVS Health
- Location
- Irving, TX
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 112,923–144,200/yr
Posted 2mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Assist with cloud-native application development
- Assist with web development
- Assist with API integration and scaling
- Participate in software lifecycle development
- Participate in testing
- Participate in CI/CD
- Participate in production operations
- Develop large scale data structures
- Develop pipelines to organize, collect and standardize data
- Write ETL processes
- Design database systems
- Develop tools for real-time and offline analytic processing
- Transform data and integrate algorithms and models into automated processes
- Build data pipelines
- Build dynamic systems
- Build data marts
- Build data models
- Integrate data from a variety of sources
- Ensure adherence to data quality and accessibility standards
- Analyze current information technology environments
- Identify and assess critical capabilities
- Recommend solutions
- Experiment with available tools
- Advise on new tools
Requirements
- Master’s degree in Computer Science, Computer Engineering, Information Technology, Engineering, or a related field
- Six months of experience in the job offered or related occupation
- Six months of experience in Programming in Java, Python, or R
- Six months of experience in SAS or SQL programming languages
- Six months of experience in Designing and optimizing queries to build data pipelines
- Six months of experience in Writing Extract/Transform/Load (ETL) processes
- Six months of experience in Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
- Six months of experience in Machine learning algorithms
- Six months of experience in Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design
Skills
- Java
- Python
- R
- SAS
- SQL
- Azure
- Amazon Web Services
- AWS
- Google Cloud Platform
- GCP
- Hadoop
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