Senior Data Engineer

4 weeks ago

Hartford, Connecticut, United States CVS Health Full time
Join Our Team as a Senior Data Engineer at CVS Health

We are seeking a highly skilled Senior Data Engineer to join our team at CVS Health. As a Senior Data Engineer, you will play a critical role in designing, developing, and maintaining our data pipelines and infrastructure to support our business goals.

Key Responsibilities:
  • Design and develop large-scale data structures and pipelines to organize, collect, and standardize data
  • Collaborate with product business and data science teams to collect user stories, translate into technical specifications, and implement data transformation, algorithms, and models into automated processes
  • Build highly scalable and extensible data marts and data models to support data science and other internal customers on Cloud
  • Integrate data from various sources, ensuring data quality and accessibility standards
  • Provide guidance to a team of data engineers and collaborate closely with data scientists and analysts to support data-driven decision-making
Requirements:
  • 3+ years of experience with SQL, NoSQL
  • 3+ years of experience with Python (or a comparable scripting language)
  • 3+ years of experience with data warehouses (such as data modeling and technical architectures) and infrastructure components
  • 3+ years of experience with ETL/ELT, and building high-volume data pipelines
  • 3+ years of experience with reporting/analytic tools
  • 3+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management
  • 3+ years of experience with big data and cloud architecture
  • 3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)
  • 3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)
  • 3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)
  • 1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders
  • 1+ year(s) of experience independently managing deliverables
Preferred Qualifications:
  • 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 complex systems and solving challenging analytical problems
  • Strong collaboration and communication skills within and across teams
  • Knowledge of data visualization and reporting
  • 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
Education:

Bachelor's Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required. Master's Degree preferred.

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