- Develop and deploy production-grade services, and data infrastructure emphasizing performance, scalability, and self-service.
- Assume a leadership role in developing solutions with experience in continuous delivery, immutable deployments, containerization, and micro-service architectural patterns.
- Are "biased to action" and not easily blocked by problems and difficulties, instead taking ownership
- Believe in monitoring, QA, and security as a first-class citizen in any data product.
- Excited to build data platforms and tools that abstract implementation details for developers, analysts, and data scientists, enabling data transit.
- Dedicated to automation, documentation, and collaboration at all stages of the engineering workflow.
- Passionate about mentoring colleagues and educating the organization on data engineering best practices.
- Maintain a firm understanding of the business long term goals and strategy to inform system implementation - able to see the forest through the trees.
- Experience in productionizing various big data technologies both open source and cloud native, AWS preferred (Kafka, Airflow, Dremio etc).
- Expertise in data model design with sensitivity to usage patterns and goals - schema, scalability, immutability, idempotency, etc.
- Expertise in of at least two of the following languages - Python, Go, Scala, Java
- Experience in handling Large Scale Time Series data
- Experience in GraphQL, Apollo and Hasura.
- Track record of choosing the right transit, storage, and analytical technology to simplify and optimize user experience.
- Real-world experience developing highly scalable solutions using micro-service architecture designed to democratize data to everyone in the organization.
- Put your passion of CICD to work and enjoy the impact it has to software quality and customers
- Live and love Docker, EKS, GitLab, Terraform
- Build terraform scripts and other deployment and configuration automation
- Live, laugh, and love some flavor of Agile. With a side of Scrum.
- Work closely with other teams and individuals to plan, coordinate, and seek feedback.
- Pitch in where needed as a valued team member. There is no "i" in 2 in "idiot".
- Docker, K8, Cloud, microservices, containerization, web services, DB/SQL, etc. etc. (You get it).
- Strong analytical, problem-solving, and troubleshooting skills. Let's face it, you are one of the smartest people you know.
- Experienced with modern coding, testing, debugging and automation techniques.
- Rave about the benefits of CI/CD, unless manual deployments really are your thing.
- Have a high bar for user experience and quality.
- You are data driven and customer obsessed.
- Good communication skills.
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Data Engineer - Houston, United States - NR Consulting
Description
Title- Data EngineerLocation:
San Francisco CA, Houston TX or Remote
Job Description
Skill Set Required: