Big Data Engineer - Senior Advisor

This Senior Advisor, Data Engineer role will collaborate with business partners to identity opportunities to leverage big data technologies in support of Pharmacy Personalization with a common set of tools and infrastructure to make analytics faster, more insightful, and more efficient. You will build and architect next generation Big Data machine learning framework developed on a group of core Big Data technologies. You will design highly scalable and extensible Big Data platforms which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. You will define and maintain data architecture, focusing on applying technology to enable business solutions. You will assess and provide recommendations on business relevance, with appropriate timing and deployment. You will perform architecture design, data modeling, and implement CVS Big Data platforms and analytic applications. You will bring a DevOps mindset to enable big data and batch/real-time analytical solutions that leverage emerging technologies. You will develop prototypes and proof of concepts for the selected solutions, and implement complex big data projects. You will apply a creative mindset to a focus on collecting, parsing, managing, and automating data feedback loops in support of business innovation.

Required Qualifications
Requires three (3) years of experience with building, launching and maintaining analytics pipelines in production. Must also have three (3) years of experience with big data frameworks and cloud platforms and hands-on coding experience (i.e. Java, Scala, Python, SQL). Will accept a bachelors degree and six (6) years of experience in lieu of a masters degree and three (3) years of experience.

Preferred Qualifications

• Experience in distributed cloud environments (i.e. Azure, GCP, AWS)
• Hands-on coding experience (i.e. Python, Scala, Java, SQL, Shell Scripting)
• Proficient in big data frameworks (i.e. Map-Reduce, Spark)
• Familiarity with building data pipelines, data modeling, architecture & governance concepts
• Experience implementing ML models and building highly scalable and high availability systems
• Experience building, launching and maintaining complex analytics pipelines in production using DevOps best practies (i.e. Docker, Kubernetes, Git, Jenkins)
• Exposure to Healthcare Domain knowledge
• Experience performing data analysis to uncover insights and drive decision-making

Education
Master's degree, or foreign equivalent, in Data Engineering, Business Analytics, Computer Science, Electrical/Computer Engineering, Management Information Systems, Physics, or related field.

BA degree required with 6+ years of relevant experience; or a Master's degree or equivalent in an analytic discipline and 3+ years of relevant experience; or a PhD and 1+ years of relevant experience

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.