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Analytics Data Engineer
Analytics Data EngineerInizio Partners Corp • Toronto, ON, CA
Analytics Data Engineer

Analytics Data Engineer

Inizio Partners Corp • Toronto, ON, CA
Il y a 1 jour
Type de contrat
  • Temps plein
Description de poste

Location : Canada – Remote

Compensation - $130,000-$150,000 CAD

Overview / Objective

We are seeking an Analytics Data Engineer to join our client's Sports Analytics & Engineering Practice. This role is focused on turning ingested data into trusted, high-value analytical assets that power dashboards, insights, and decision-making across digital products, marketing, and fan engagement.

You will own the analytics layer of the data platform, building dimensional models and transformation logic that serve as a single source of truth for analysts, data scientists, and BI teams.

Key Responsibilities

  • Design and build scalable data transformation pipelines using SQL, DBT, and Jinja templating
  • Develop and maintain dimensional data models optimized for analytics and BI consumption
  • Own the analytics data layer in DBT, enabling self-service analytics for business users
  • Collaborate with product, analytics, and BI teams to translate business requirements into data models
  • Enhance and maintain analytics codebases including DBT models, macros, tests, and documentation
  • Implement data quality checks, tests, and governance-aligned transformations
  • Optimize SQL for performance using partitioning, clustering, and materialized views
  • Ensure semantic consistency and metric definitions across dashboards and reports
  • Apply software engineering best practices including version control, CI / CD, and peer code reviews
  • Support Agile development and collaborate with offshore teams for delivery and reviews

Required Qualifications

  • Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field
  • 5+ years of experience in analytics-focused data engineering
  • 3+ years of deep hands-on experience with DBT, including advanced models, macros, and packages
  • Strong expertise in dimensional modeling and data warehousing concepts
  • Proficiency in SQL performance tuning and large-scale analytical query optimization
  • Experience working with Amazon Redshift and modern cloud data platforms
  • Familiarity with Python and / or Jinja templating for analytics engineering
  • Experience aligning data models with governance, privacy, and access-control requirements
  • Agile experience and comfort working with extended offshore teams
  • Strong ownership mindset, attention to detail, and passion for building clean, trusted data products
  • #J-18808-Ljbffr

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