Faire
Data Engineering
Overview
We're looking for a technical leader in our team to work closely with Data Scientists, Product Analysts and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights.
About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community
Requirements & Eligibility
- 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
- Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
- Production-level development experience in Python.
- Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
- Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
- Experience with Airflow, Docker, DBT or similar analytics workflow tools.
- BA/BS degree in Computer Science, Math, Physics, or a related technical field.
Key Responsibilities
- Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
- Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap.
- Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
- Redefine how we build, maintain, and scale data systems by embedding AI into our daily workflows.
- Optimize processes for operational excellence in project management and system reliability.
- Ensure security standards are met within data systems and workflows.
- Ensure and promote data quality standards for accurate and reliable insights.
- Embrace emerging technologies with enthusiasm.
Disclaimer: Trace Hiring is an independent job board. We are not directly affiliated with Faire. Please verify all details on the official company application portal.