What You’ll Do
- Design and build reusable and configurable data pipelines using a mix of standard cloud-based and proprietary data platforms
- Work with a data scientist to develop AI/ML proofs of concept into full implementations
- Create documentation and provide informal training for data analysts on the configuration and use of tools and pipelines
- Work with other engineering and product teams to understand proprietary platforms and provide input and feedback
- Provide guidance to more junior data engineers on best practices
- Work with security teams to ensure that all servers, platforms, and other resources meet security requirements
Requirements
- BS degree in Computer Science, Engineering, or a related subject.
- 4+ years of experience in Data Engineering roles.
- Experience developing sophisticated data pipelines in cloud-based environments (e.g. AWS) using scalable data processing tools (e.g. Apache Spark)
- Data modeling experience
- Demonstrated ability to work with others, particularly providing guidance to other data engineers
- Ability to communicate around complex ideas and topics in English with both technical and non-technical individuals
Nice to Have
- Familiarity with Agile methodologies
- DevOps skills, especially CI/CD experience
- Configuring and maintaining cloud-based cluster computing resources and orchestration systems (e.g. EC2 instances, Kubernetes clusters, Elastic Beanstalk)
Perks & Benefits
- Comprehensive benefits package
- Flexible “work from anywhere” policy
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