We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary 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. A strong foundation in Google Cloud Platform (GCP), Apache Spark, Scala, Python, SQL technologies are essential. Healthcare analytics knowledge would be beneficial 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. Deep knowledge of architecture, frameworks, and methodologies for working with and modelling large data sets, such as Spark , HDFS, YARN, Hive and edge nodes and NoSQL databases. Strong SQL skills with commensurate experience in a large database platform. Able to perform code reviews to ensure the code meets the acceptance criteria. Experience in Data Modelling/Mapping and implementing them in development. Collaborates with client team to transform data and integrate algorithms and models into automated processes. Utilizes strong programming skills—especially Scala, Python, Java and similar languages —to build scalable and robust data pipelines and services. Builds data marts and data models to support clients and other internal customers. Designs and builds data marts, curated datasets, and analytical 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. Follows the complete SDLC and delivers work within Agile frameworks (Scrum/SAFe). Google Cloud technology knowledge a must including cloud‑native tools for compute, storage, orchestration, and data processing.
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Job Type
Full-time
Career Level
Mid Level