CVS Health

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Sr. Data Engineer

at CVS Health

Posted: 10/9/2020
Job Reference #: 73769BR
Keywords: architecture

Job Description

Job Description
Build data products involving real time and ingestion frameworks, data pipelines to process large columns of poly structure data, and model deployment. Conduct strategic data roadmap and executions of the roadmap. Build and integrate data platform and supporting products to drive engagements and revolutionize health and wellness. Design and develop complex and largescale data structure and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs. Write complex Extract/Transform/Load processes, designs database systems and develop tools for real-time and offline analytic processing. Develop framework, standards and reference material for architecture and associated products. Design data models to support Data Science and other internal customers. Collaborate with data science team to transform data and integrate algorithms and models into highly available, production systems. Use in-depth knowledge on Hadoop architectures, HDFS commands and experience designing and optimizing queries to build scalable, modular, and efficient data pipelines. Use advanced programming skills in Python, Java to build robust data pipelines and dynamic systems. Integrate data from a variety of sources, assuring that they adhere to data quality and accessibility standards. Experiment with available tools and advises on new tools in order to determine optimal solution given the requirements dictated by the model/use case.

Background Experience
Master’s degree in Computer Science, Computer Engineering or a related field. One year of experience working with large scale data structures and applications. Must have experience: building and implementing data transformation and processing solution to improve data reliability, efficiency and quality; working with Hadoop architecture, HDFS commands and use advanced programming skills in Java, Python, SQL to build robust data pipelines; and working on multiple Proof of Concept to pick latest market tools and technologies, as well as adding to product landscape to help build stable framework and product.

Percent of Travel Required
N/A

Application Instructions

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