Data Engineer III - Spark, AWS & Snowflake (Toronto)

Tim Hortons; Toronto; On-site; CAD 110,000 - 130,000; Full time

Benefits offered by this job

Comprehensive global paid parental leave program

Free telemedicine and mental wellness support

Annual discretionary bonus plan

Additional compensation in equity grants

Job summary

A leading quick-service restaurant company is looking for a skilled Big Data Engineer III to build and maintain scalable data pipelines. This role requires expertise in Python, Apache Spark, AWS, and Snowflake, and is based in Toronto, ON. You will collaborate with data scientists and analysts to transform data into actionable insights. The base salary ranges from $110,000 to $130,000 CAD, with eligibility for bonuses and unique benefits focusing on wellness and support for employees.

Qualifications

• 4+ years experience in programming languages like Python, SQL, Scala.
• 4+ years experience designing complex data pipelines.
• Experience with Snowflake and data modeling.

Responsibilities

• Design and maintain scalable data pipelines using Python and Apache Spark.
• Build and optimize ETL/ELT workflows for structured and unstructured data.
• Collaborate with data analysts and business stakeholders to understand data requirements.

Skills

Python

Apache Spark

AWS

Snowflake

SQL

Terraform

Databricks

Education

Undergraduate degree in Computer Science, Engineering, Statistics, Mathematics, or related field

Tools

AWS services (S3, EC2, DynamoDB, Glue, Lambda)

Hadoop

Git

Job description

A leading quick-service restaurant company is looking for a skilled Big Data Engineer III to build and maintain scalable data pipelines. This role requires expertise in Python, Apache Spark, AWS, and Snowflake, and is based in Toronto, ON. You will collaborate with data scientists and analysts to transform data into actionable insights. The base salary ranges from $110,000 to $130,000 CAD, with eligibility for bonuses and unique benefits focusing on wellness and support for employees.