Senior Analytics Engineer
August 24
🏢 In-office - Toronto
Description
• 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. • 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.
Requirements
• 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 using and maintaining enterprise BI tooling (Looker, Tableau, or similar visualization/dashboarding tools). • Experience with Airflow, Docker, DBT or similar analytics workflow tools. • BA/BS degree in Computer Science, Math, Physics, or a related technical field.
Benefits
• Eligible for equity and benefits • Flexibility to work remotely up to 4 weeks per year.
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