Caremark, LLC, a CVS Health company is hiring for the following role in Woonsocket, RI: Sr. Data Engineer to design, build and manage large scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to support business applications. Duties include: develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses 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; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Telecommuting available. Multiple positions.
Bachelor's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and five (5) years of progressive, post-baccalaureate experience in the job offered or related occupation. Requires five (5) years of experience in each of the following: Analyzing large data sets from multiple data sources; Data analysis for retail and/or healthcare industries; SQL programming languages; Traditional relational data warehouse technologies: Oracle, Teradata, or DB2; Designing and optimizing queries to build data pipelines; BI Tools; Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP);
Managing large-scale data structures or ETL workflows; and Data analytics, data engineering, and data visualization.
See Required Qualifications.
See Required Qualifications.
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