Data Engineer - Retail Analytics Engineering

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. And we do it all with heart, each and every day. Position Summary CVS Health has a rich set of healthcare data for more than 150 million individuals and provides the best foundation for any ambitious data engineer. As a member of the Data and Analytics organization, you will be responsible for designing, building, and maintaining best-in-class data engineering pipelines aimed at driving best-in-class solutions primarily using Cloud platforms like GCP(or Azure). You will collaborate with cross-functional teams, including data scientists, analysts, business SME's and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data. You will Provide best-in-class environment where everyone brings their heart to work to build technical solutions to support customers. As a Data Engineer you will: Manage and support production platform to ensure the quality, performance, and availability of the services that meets business requirements for various CVS Lines of Business Identify, design, and implement engineering process improvements through automating manual processes, optimizing data pipelines, re-designing services for greater scalability. Required to support an on call 24 x 7 cloud Production Environment supporting and administering products & Services involving platform technologies like GCP, Azure, etc. -Work hands-on with customers to develop, migrate, and debug services issues. Ensure server/process documentation is up to date and appropriate or create documentation where none may exist. Tier 2 triage, troubleshooting, remediation, and escalation of tickets tied to the product support function. Build data pipelines using Azure/GCP platform Required Qualifications 1-2 years of related work experience including: Experience in Azure/GCP (Big Query, GCS, Pub/Sub, DataProc, Airflow/Composer, Snowflake, Azure Cloud Services etc.) Experience in Unix/Shell Scripting Experience in Python Experience in SQL 1 – 2+ years experience utilizing programming skills to build robust data pipelines tending to towards Data Integration and Data Quality processes Preferred Qualifications Experience in Service Now ticketing system -Hands on experience in designing and building data engineering solutions in cloud environments (preferably Azure/GCP). Hands-on experience with languages like Python, PySpark, SQL, UNIX/Linux scripting to access, extract, manipulate and summarize data. -Strong understanding of query optimization, data structures, transformation, metadata, dependency, and workload management -Experience with CI/CD pipeline, and other DevOps principles/best practices Experience with Cloud based tech stack and Cloud components including cluster management, Kubernetes, or other containerized services, storage, and workspace management. Experience working in multi-developer environment, using version control (i.e. Git). Certified Cloud Engineer in Data engineering track: Azure/GCP preferred Good articulation in communicating complex technical subjects to non-technical audience Working experience with automation and orchestration tools Experience with modern API and microservice patterns Knowledge and working experience in agile frameworks like Scrum. Kanban etc. Familiarity in Retail / Healthcare / Insurance industry; Knowledge of Health care industry

CVS Health has a rich set of healthcare data for more than 150 million individuals and provides the best foundation for any ambitious data engineer. As the nation's leading health solutions company, they reach millions of Americans through their 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.