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At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate.
Job Responsibility:
Participates in the design, build, manage and responsible for successful delivery of large-scale data structures and Pipelines and efficient Extract/Load/Transform (ETL) workflows
Acts as the data engineer for large and complex projects involving multiple resources and tasks, providing individual mentoring in support of company objectives
Applies understanding of key business drivers to accomplish own work
Uses expertise, judgment, and precedents to contribute to the resolution of moderately complex problems
Leads portions of initiatives of limited scope, with guidance and direction
Able to perform code reviews to ensure the code meets the acceptance criteria
Familiar with Data Modelling/Mapping and implementing them in development
Collaborates with client team to transform data and integrate algorithms and models into automated processes
Uses programming skills in Scala, Python, Java, or any of the major languages to build robust data pipelines and dynamic systems
Builds data marts and data models to support clients and other internal customers
Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards
Complete SDLC process and Agile Methodology (Scrum/SAFe)
Requirements:
5+ years of progressively complex related experience
Strong problem-solving skills and critical thinking ability
Strong collaboration and communication skills within and across teams
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
Ability to understand complex systems and solve challenging analytical problems
Experience with bash shell scripts, UNIX utilities & UNIX Commands
Knowledge in Scala, Java, Python, Hive, MySQL, or NoSQL or similar
Knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment
Experience building data transformation and processing solutions
Expert high-level coding skills such as SQL/PL-SQL and scripting languages (UNIX) required
Experience with source code control systems (GIT) and CI/CD process (Jenkins/Team City/Octopus)
Involved in the design, prototyping and delivery of software solutions within the big data eco-system
Requires significant knowledge across multiple areas and applications, has a significant healthcare business knowledge and impact to numerous applications
Bachelors Degree
Nice to have:
Healthcare analytics knowledge would be beneficial
Nice to have AWS knowledge (S3/Redshift/Lambda/Data Pipeline)
Working experience in Exasol/Redshift/Snowflake is a plus
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