Job Description
Description/Fundamental Components:
Designs and develops complex and large-scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs
Writes complex ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing
Develop frameworks, standards & reference material for architecture and associated products
Designs data marts and data models to support Data Science and other internal customers. Behaves as mentor to junior team members to provide technical advice
Applies knowledge of Aetna systems and products to consult and advise on additional efforts across multiple domains spanning broader enterprise
Collaborates with data science team to transform data and integrate algorithms and models into highly available, production systems
Uses in-depth knowledge on Hadoop architecture, HDFS commands and experience designing & optimizing queries to build scalable, modular, and efficient data pipelines
Uses advanced programming skills in Python, Java or any of the major languages to build robust data pipelines and dynamic systems
Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards
Experiments with available tools and advice on new tools in order to determine optimal solution given the requirements dictated by the model/use case
Required Qualifications
7 or more years of progressively complex related experience
COVID Requirements
COVID-19 Vaccination Requirement
CVS Health requires its Colleagues in certain positions to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, pregnancy, or religious belief that prevents them from being vaccinated.
Preferred Qualifications
Has in-depth knowledge of large-scale search applications and building high volume data pipelines
Ability to leverage multiple tools and programming languages to analyze and manipulate large data sets from disparate data sources
Ability to understand and build complex systems and solve challenging analytical problems
Advanced knowledge in Java, Python, Hive, Cassandra, Pig, MySQL or NoSQL or similar
Advanced knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment
Experience building and implementing data transformation and processing solutions
Experience with bash shell scripts, UNIX utilities & UNIX Commands
Education
Bachelor’s degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline.
Master’s degree or PhD. Preferred
Business Overview
At CVS Health, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.
We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, sex/gender, sexual orientation, gender identity or expression, age, disability or protected veteran status or on any other basis or characteristic prohibited by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities
Job ID: 32097
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