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Sr Data Engineer
| Company | CVS Health |
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| Location | Irving, TX, USA |
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| Salary | $92700 – $185400 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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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
Responsibilities
- Provide subject matter expertise in the data engineering, making recommendations on project scope, tools & technology selection, architecture, deliverables, acceptance, and deployment
- Work with a team of data engineers that execute defined analytics processes, assisting with data ingestion / Conformance / Symantec mapping.
- Builds data marts and data models to support Data Science and other internal customers. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards
- Support building UI for internal application development
- Manage data ingestion and Conformance processes that exist in the GCP environment
- Build robust data pipeline and analytical process using Python, Java or any of the major languages
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 Angular with Typescript
- 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
