Data Engineer

CVS Health is a company dedicated to building a world of health around every individual. They are seeking a Data Engineer to develop and manage large-scale data structures and ETL workflows to support business applications and generate insights from data.

Responsibilities:

• 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 that improve existing systems and expand capabilities
• Collaborate with Data Science team to transform data and integrate algorithms and models into automated processes
• Test and maintain systems and troubleshoot malfunctions
• 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 to complex business problems
• Experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case

Requirements:

• Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, Information Systems, or a related field
• one (1) year of experience in the job offered or related occupation
• six (6) months of experience in Software development lifecycle (SDLC)
• six (6) months of experience in CI/CD, Jenkins, GIT, or DevOps
• six (6) months of experience in Java, Python, or R
• six (6) months of experience in Agile methodologies or SAFe Software Development Principles
• six (6) months of experience in JIRA, Rally, or Confluence
• six (6) months of experience in SQL or MySQL
• six (6) months of experience in Hadoop architecture or HDFS
• six (6) months of experience in Hadoop and Hive
• six (6) months of experience in Big Data implementation
• six (6) months of experience in contributing to large-scale applications development, data science, or data analytics projects