Sr. Data Engineer

CVS Health is a company dedicated to building a connected and compassionate health experience. They are seeking a Sr. Data Engineer to develop and manage large-scale data structures and ETL workflows, collaborating with the Data Science team to enhance business applications and data processing capabilities.

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:

• Bachelor's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, Electronics Engineering, or a related field
• five (5) years of progressive, post-baccalaureate experience in the job offered or related occupation
• five (5) years of experience in Java, Python, or R
• five (5) years of experience in SAS or SQL
• five (5) years of experience in Hadoop, Hive, and HDFS
• five (5) years of experience in Airflow, Kafka, Hbase, Pig, MySQL, or NoSQL
• five (5) years of experience in Spark, PySpark, or Scala
• five (5) years of experience in Unix, Linux, or Shell scripting
• five (5) years of experience with Version Control System: Git
• five (5) years of experience in Big Data
• five (5) years of experience in Relational and Non-Relational Databases
• five (5) years of experience in Writing unit test cases and performing unit testing of developed software
• five (5) years of experience in Product scrum meetings including spring planning, backlog, prioritization and grooming, standup, and retrospection