Data Engineer

August 21

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Chelsea Avondale

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Replacing the industry's bulk average underwriting with a scientific exposure based price, unique to each risk.

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Description

• Chelsea Avondale is looking for a Data Engineer with a gift for understanding and explaining large datasets using Python --- the primary coding language across our organization. • The primary focus of the Data Engineer will be to gather, curate, and preprocess data from various sources, ensuring data quality and integrity at all times; to explore and analyze large connected datasets using statistical techniques and machine learning algorithms with the goal of enabling users to self-serve; and to communicate findings to stakeholders through data visualizations, reports, and presentations. • Our data plays a pivotal role in driving the development of our scientific models, pricing platform and broker portal. • This position is ideal for candidates who have an extraordinary sense of responsibility and are not afraid to roll up their sleeves. • Our IT environment is streamlined, focusing on a core set of technologies. We need someone who is comfortable working within this framework and can innovate without relying on an extensive toolkit. • If you are someone who thrives in a high-performance culture and is eager for work that is both challenging and constantly evolving, this role is perfect for you.

Requirements

• Bachelor’s or Master’s degree in Mathematics or Statistics. We encourage highly motivated new grads to apply. • 3+ years of experience in Python and Pandas is key. • Knowledge of Hadoop, Hive, Presto, Spark, SparkSQL, Tableau are NOT required. • Hands-on experience in principled data warehouse design, data visualization and data pipeline design and development. • Experience with MongoDB. • CI/CD tools and methodologies (GitLab, branches, code reviews, merge requests, etc). • AWS experience is a plus. • Great communication skills. You should be able to directly communicate with senior business leaders, embed yourself within business teams, and present solutions to business stakeholders. • Experience working independently and driving projects end to end. • Strong problem solving and analytical skills (performance analysis, defect analysis, and reporting). • Organized and meticulous. • Willingness to come into our Toronto office (8 minute walk from Union station) once per month.