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Data Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: Tiger Analytics
Full Time position
Listed on 2026-02-28
Job specializations:
  • Engineering
    Data Engineer, Data Science Manager
  • IT/Tech
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 CAD Yearly CAD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Why Consider this Job Opportunity

  • Competitive salary up to 8+ years of industry experience
  • Opportunity for significant career development and growth within the company
  • Chance to work with Fortune 100 companies and gain experience in data-driven decision making
  • Collaborative and entrepreneurial work environment
  • High degree of individual responsibility
  • Opportunity to work with cutting-edge technologies and tools like Dataiku, AWS, Snowflake, dbt, Azure, and GCP
What to Expect (Job Responsibilities)
  • Design, build, and maintain data pipelines, data integration processes, and data infrastructure
  • Collaborate closely with data scientists, analysts, and stakeholders to ensure efficient data flow
  • Support data-driven decision making across the organization
  • Utilize ETL processes and tools for data integration
  • Apply programming skills in Python, SQL, or Scala to build and maintain data pipelines
What is Required (Qualifications)
  • 8+ years of overall industry experience in data engineering
  • Strong knowledge of data engineering principles, data integration, and data warehousing concepts
  • Proficiency in building and maintaining data pipelines using Dataiku
  • Solid understanding of ETL processes and tools
  • Strong programming skills in Python, SQL, or Scala
  • Good understanding of data modeling, data architecture, and database design
  • Familiarity with cloud platforms like AWS, Snowflake, dbt, Azure, or GCP
  • Excellent problem-solving and troubleshooting skills
  • Strong communication and collaboration abilities
  • Attention to detail and a focus on delivering high-quality work
How to Stand Out (Preferred Qualifications)
  • Experience working as a Data Engineer in an advanced analytics or consulting environment
  • Familiarity with additional data engineering tools and technologies

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