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Software Development Engineer – GCP Data Engineer
Company | CVS Health |
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Location | Richardson, TX, USA |
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Salary | $72100 – $144200 |
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Type | Full-Time |
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Degrees | |
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Experience Level | Mid Level |
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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