Data Engineering Lead for Data Science and Analytics

23 hours ago

Ottawa, Ontario, Canada Chelsea Avondale Full time
Job Description:

At Chelsea Avondale, we are seeking a highly skilled Data Engineer to join our team. As a key member of our data science and analytics group, you will play a critical role in gathering, curating, and preprocessing large datasets from various sources, ensuring data quality and integrity at all times.

Your primary focus will be on exploring and analyzing connected datasets using statistical techniques and machine learning algorithms to enable users to self-serve. You will communicate findings to stakeholders through data visualizations, reports, and presentations, driving the development of our scientific models, pricing platform, and broker portal.

Responsibilities:
  • Be hands-on with principled data warehouse design, data visualization, and data pipeline design and development.
  • Collaborate with teams from Science, Engineering, and Business to produce relevant data solutions that can be used across multiple use cases.
  • Understand business drivers and analytical use-cases and translate these to data products.
  • Explore new technologies and learn new techniques to solve data problems creatively.
  • Think big and drive the strategy for better data quality within Chelsea Avondale.
  • Create data visualizations that allow easy consumption of the data learnings and insights.
  • Lead designing and implementing scalable data ingestion systems for various ML/AI solutions, which includes ingestion of structured and unstructured data.
  • Analyze complex data flows and dependencies, and design and implement data models for optimal storage and retrieval processes.
  • Strong ownership and communication skills, be able to support and align efforts to meet data user needs.
PREFERRED EXPERIENCE & SKILLS:
  • Bachelor's or Master's degree in Mathematics or Statistics.
  • 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 once per month.

Estimated salary range $120,000 - $160,000 per year, depending on experience.

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