Caremark LLC, a CVS Health company, is hiring for the following role in Hartford, CT: 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 Openings.
Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Information Systems, Mathematics, Analytics, or a related field and completion of a university-level course, research project, internship, or thesis in each of the following: Jenkins and GIT; Java, R, and Python; Agile methodologies; Hive; MySQL and NoSQL; Analyzing large data sets from multiple data sources; Statistical analysis and predictive modeling; Infrastructure components: GPU's or CPU's. Telecommuting available.
Apply at
http://jobs.cvshealth.com/. OR by email:
istappintake@cvshealth.com. Must reference job title, location, and Req ID when applying. Requisition ID: R0235007
