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✨ About The Role

- The Data Engineer will collaborate with business partners to identify opportunities for leveraging big data and real-time data technologies.
	- The role involves designing scalable and extensible big data platforms for the collection, storage, modeling, and analysis of large datasets.
	- Responsibilities include defining and maintaining data architecture to enable business solutions.
	- The candidate will perform architecture design, data modeling, and implement CVS's big data and real-time data platforms.
	- A DevOps mindset is necessary to enable big data and analytical solutions using emerging technologies.
                            

⚡ Requirements

- The ideal candidate will have strong proficiency in SQL and Python, with at least 2 years of hands-on coding experience in both languages.
	- Experience in building automated big data pipelines is essential for success in this role.
	- A background in REST API and Microservice development using Python is required.
	- Familiarity with containerized environments, particularly Kubernetes, is important for deploying and scaling applications.
	- The candidate should possess strong critical thinking, communication, and problem-solving skills, along with a quick learning ability.
                            

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Data Engineer - (spark, Kafka, Kubernetes, Microservices / API / Data Streaming) - Remote Eligible

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About CVS Health

CVS Health is a leading pharmacy and healthcare company offering prescriptions, products, and wellness services.