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Software Development Engineer – GCP Data Engineer

Software Development Engineer – GCP Data Engineer

CompanyCVS Health
LocationRichardson, TX, USA
Salary$72100 – $144200
TypeFull-Time
Degrees
Experience LevelMid Level

Requirements

  • Experience in designing and building data engineering solutions in GCP cloud environments
  • 3+ years of hands-on experience with Google Cloud Platform services like Big Query, Dataflow, Pub/Sub, and Cloud Storage
  • 3+ years of hands-on experience building modern data pipelines with GCP platform
  • 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 SQL, NoSQL
  • 3+ years of experience in data engineering with a focus on microservices-based data solutions
  • 3+ years of containerization (Docker, Kubernetes) and CI/CD for data pipeline
  • 3+ years of experience with Python (or a comparable scripting language)
  • 3+ years of experience with Big data and cloud architecture
  • 3+ years of experience with deployment/scaling of apps on containerized environment (Kubernetes,)
  • 3+ years of experience with real-time and streaming technology (Kafka, Spark Streaming)

Responsibilities

  • Designing, building, and maintaining scalable and secure data pipelines and systems on GCP
  • Ensuring that data flows efficiently from diverse sources to analytics platforms and reporting tools
  • Empowering data-driven decision-making across the organization

Preferred Qualifications

  • Experience with Git, CI/CD pipeline, and other DevOps principles/best practices
  • Experience with bash shell scripts, UNIX utilities & UNIX Commands
  • 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
  • Previous healthcare experience and domain knowledge
  • Experience designing, building, and maintaining data processing systems
  • Experience architecting and building data warehouse and data lakes