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At CVS Health, the Data Engineer role involves engaging with ambitious healthcare data challenges and creating industry-best data products/software, anchored by a customer-first mindset and team-oriented approach. Responsibilities include designing optimal data pipelines, collaborating within agile environments, and delivering actionable business insights by leveraging advanced technical tools and healthcare data.
Job Responsibility:
Design, develop, and maintain optimal data pipelines to assemble large and intricate datasets
Harness modern tools and technologies to securely store, process, transform, and enrich healthcare data
Collaborate with teams to craft tools providing actionable insights and integrating them with consumer touchpoints
Solve problems associated with complex structured and unstructured data
Deliver innovative solutions to business problems in a dynamic and agile environment
Requirements:
1+ years of experience with SQL, NoSQL
1+ years of experience with Python (or a comparable scripting language)
1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components
1+ years of experience with ETL/ELT, and building high-volume data pipelines
1+ years of experience with reporting/analytic tools
1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management
1+ years of experience with Big data and cloud architecture
Nice to have:
Experience with complex systems and solving challenging analytical problems
Strong collaboration and communication skills within and across teams
Knowledge of data visualization and reporting
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices
Experience with bash shell scripts, UNIX utilities & UNIX Commands
Understanding of software development methodologies including waterfall and agile
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
Knowledge of API development
Experience with schema design and dimensional data modeling
Google Professional Data Engineer Certification
Knowledge of microservices and SOA
Formal SAFe and/or agile experience
Previous healthcare experience and domain knowledge
Experience designing, building, and maintaining data processing systems
Experience architecting and building data warehouse and data lakes
What we offer:
Full range of medical, dental, and vision benefits
Eligible employees may enroll in 401(k) retirement savings plan
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