Job Title

Job DescriptionDescription/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 caseRequired Qualifications7 or more years of progressively complex related experience 2 years experience with cloud architecture and engineering, with at least one major platform (AWS, Azure, GCP).2 years experience in data platform migration.Experience with bash shell scripts, UNIX utilities & UNIX Commands Experience building and implementing data transformation and processing solutions 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 environmentCOVID RequirementsCOVID-19 Vaccination RequirementCVS Health requires certain colleagues 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, religious belief, or other legally recognized reasons that prevents them from being vaccinated. You are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status or apply for a reasonable accommodation within the first 10 days of your employment. Please note that in some states and roles, you may be required to provide proof of full vaccination or an approved reasonable accommodation before you can begin to actively work.Preferred QualificationsHas 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 problemsEducationBachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline. Master's degree or PhD preferredBusiness OverviewBring your heart to CVS HealthEvery one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver.Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.