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Cloud Engineer
| Company | CVS Health |
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| Location | Irving, TX, USA |
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| Salary | $105997 – $140000 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Entry Level/New Grad |
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Requirements
- Master’s degree (or foreign equivalent) 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.
Responsibilities
- Build, develop, and maintain cloud-native software web applications and systems in support of CVS business needs and end customers
- Assist with cloud-native application development, web development, API integration and scaling them in real time to meet internal users and end-customer needs
- Participate in entire software lifecycle development, testing, CI/CD and production operations
- Develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and address reporting needs
- Write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing
- Collaborate with Data Science team to transform data and integrate algorithms and models into automated processes
- Leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines
- Utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems
- Build data marts and data models to support Data Science and other internal customers
- Integrate data from a variety of sources and ensure adherence to data quality and accessibility standards
- Analyze current information technology environments to identify and assess critical capabilities and recommend solutions
- Experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case.
Preferred Qualifications
No preferred qualifications provided.
