Data Engineer: Build Scalable Data Pipelines & Dashboards

PowerToFly; Toronto; On-site; CAD 88,000 - 129,000; Full time

Job summary

A leading software company is seeking a Data Engineer in Toronto to enhance critical data processing and analytics pipelines. The role involves building infrastructure for large-scale data and collaborating with teams to meet analytics needs. Candidates should have experience with big data systems, SQL, and specific programming skills. The position offers a competitive salary ranging from $88,000 to $128,700 annually, complemented by a comprehensive benefits package.

Benefits

Health/Dental/Vision/Life insurance

Work - Life Balance

Paid volunteer time off

6 week paid sabbatical every 4 years

Qualifications

• 2-3 years of relevant industry experience in big data systems, data processing and SQL databases.
• 2+ years of coding experience in Spark data frames, Spark SQL, PySpark.
• Experience with ETL workflow management tools like Airflow.

Responsibilities

• Build and scale data infrastructure for processing billions of records.
• Develop CI/CD pipelines and testing automation.
• Interface with data engineers and product managers to understand needs.

Skills

Big data systems

Data processing

SQL

Spark SQL

Python programming

Education

Bachelor’s degree in computer science or related field

Tools

Spark

Hive

Snowflake

PowerBI

Looker

AWS Services (S3)

Job description

A leading software company is seeking a Data Engineer in Toronto to enhance critical data processing and analytics pipelines. The role involves building infrastructure for large-scale data and collaborating with teams to meet analytics needs. Candidates should have experience with big data systems, SQL, and specific programming skills. The position offers a competitive salary ranging from $88,000 to $128,700 annually, complemented by a comprehensive benefits package.