Senior Data Engineer: Build Scalable Pipelines & Analytics

Knix; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

An innovative apparel brand in Toronto is seeking a Senior Data Engineer to design and maintain data pipelines and optimize their analytics ecosystem. The ideal candidate has over 7 years of experience in data engineering, with proficiency in Snowflake, DBT, and cloud services like AWS. This role requires expertise in Python and SQL, as well as strong problem-solving skills. Join a purpose-driven team where diverse perspectives are celebrated and inclusivity is at the core.

Benefits

Inclusive work environment

Accommodations for disabilities

Supportive and innovative culture

Qualifications

• 7+ years of experience in software and/or data engineering, with at least 4 years focused on data engineering.
• Deep hands-on experience with Snowflake, DBT, FiveTran, and Looker.
• Proficiency in Python for data workflows.

Responsibilities

• Design, build, and maintain scalable ELT/ETL pipelines.
• Monitor pipeline performance and implement logging processes.
• Design and maintain scalable data models using dimensional and normalized approaches.

Skills

Python

SQL

Data architecture

Problem-solving

Data governance

Tools

Snowflake

DBT

FiveTran

Looker

AWS

Job description

An innovative apparel brand in Toronto is seeking a Senior Data Engineer to design and maintain data pipelines and optimize their analytics ecosystem. The ideal candidate has over 7 years of experience in data engineering, with proficiency in Snowflake, DBT, and cloud services like AWS. This role requires expertise in Python and SQL, as well as strong problem-solving skills. Join a purpose-driven team where diverse perspectives are celebrated and inclusivity is at the core.