Phenom People
Sr. Data Engineer
Aetna Resources LLC, a CVS Health company, is hiring for the following role in Hartford, CT: 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. Multiple positions. Required Qualifications Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, Information Systems, or a related field and completion of a university-level course, research project, internship, or thesis in each of the following: Analyzing large data sets from multiple data sources; Data analysis for healthcare industry, products, or systems; SAS or SQL programming languages; Visualization tools, including PowerBI; and Testing, quality assurance, and troubleshooting.
Aetna Resources LLC, a CVS Health company, is hiring for the following role in Hartford, CT: 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. Multiple positions. Required Qualifications Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, Information Systems, or a related field and completion of a university-level course, research project, internship, or thesis in each of the following: Analyzing large data sets from multiple data sources; Data analysis for healthcare industry, products, or systems; SAS or SQL programming languages; Visualization tools, including PowerBI; and Testing, quality assurance, and troubleshooting.