You’ll be joining a collaborative team of engineers creating a reliable and performant data infrastructure platform. As a Senior Engineer on the team you will prioritize and tackle problems as they arise, working iteratively with internal and external stakeholders to deliver a great self-service data infrastructure and stability for our developers and analysts. Today we serve various eCommerce organizations, enabling them to make decisions based on the knowledge at the core of their business.
In this role, you can expect
- Lead technical design and implementation of major software components, systems, and features across teams.
- Work with a variety of programming languages, systems, and cloud technologies, including: Python, DBT, Databricks, Spark, Looker, Airflow, Kubernetes, AWS, Terraform
- Apply your technical experience in performance, architecture, interfaces and engineering best practices to face cutting-edge data related challenges.
- Help build a data driven culture of quality and innovation by leading cross-team collaboration and execution of projects delivering high value to customers.
- Manage trade-offs, priorities, and deliverables by applying your experience driving projects to successful completion.
Qualifications
- 6+ years of experience working as a Data Infra Engineer or a similar role
- Deep understanding of the Modern Data Stack, specifically DBT, Databricks, Spark, Airflow and Looker
- Experience troubleshooting issues related to “Distributed Big Data Computing” environment as well as DevOps tooling
- Proficiency in at least one programming language (Python, Java, Go, etc)
- Bachelor’s degree in Computer Science, Engineering, or equivalent
You are a good fit if you
- Have a systematic problem-solving approach coupled with strong communication skills and a sense of ownership and drive.
- Are passionate about upholding engineering best practices in all phases of SDLC
- Collaborate effectively with cross-functional teams and stakeholders.