Data Engineer - Analytics Platform

Faire•Toronto, ON

2d•Hybrid

About The Position

Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance. The Analytics Platform team builds capabilities to accelerate data-driven analytics, improve productivity and accuracy at Faire. Its mandate is to reduce time from data to insights. The team focuses on the following areas and capabilities: Data warehousing, including cost-efficient storage and compute ETL (extract, transform, load) and ELT (extract, load, transform) pipelines Evolution of foundational datasets with company-wide utilization BI (business intelligence) tooling and integrations Productivity acceleration tooling for analytics use-cases, including AI/LLM powered tools Automation of analytics functions Monitoring, alerting, and cost tracking for workloads Data security, privacy, and governance The team also owns relationships with select infrastructure vendors. We’re looking for: An engineer with data and analytics experience to work alongside our highly talented team, develop and deliver technical projects, and engage with other teams in the organization.

Requirements

Strong Python and SQL skills
Experience developing and operating ETL/ELT, storage, compute, workflow systems
Exposure to building and operating reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows
Understanding of data warehousing basics, especially Snowflake, is highly valuable
Understanding of performance, capacity, cost trade-offs in data processing systems.
Experience diagnosing, mitigating, and addressing data system production issues at scale
Strong communication skills
A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience

Nice To Haves

Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin

Responsibilities

Plan and execute on technology projects that scale with our growth; contribute to our technology foundations with a focus on data integrity, security, performance, scale, reliability, operational excellence.
Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.
Provide technical expertise on difficult open-ended problems.