Data Engineering Lead — Architect Scalable Pipelines

Zs Associates; Toronto; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A management consulting firm based in Toronto is seeking a Data Engineering Lead responsible for designing and optimizing scalable data architectures. The role involves collaboration with cross-functional teams to translate requirements into effective data solutions. Ideal candidates should have a Bachelor's or Master's degree in a technical field, 5+ years of experience in data engineering, and proficiency in SQL and Python. The firm offers a hybrid working model and a comprehensive benefits package.

Benefits

Comprehensive health and well-being package

Financial planning support

Annual leave

Professional development opportunities

Qualifications

• 5+ years of experience in data engineering with a proven track record.
• Experience in leading small teams of Data Engineers.
• Fluent in English with strong communication skills.

Responsibilities

• Oversee design and implementation of scalable data systems.
• Collaborate with teams to translate data requirements.
• Design and optimize ETL pipelines.

Skills

SQL

Python

Data warehousing concepts

Cloud-based platforms (AWS, Azure, GCP)

ETL processes

Big data technologies (Hadoop, Spark, Kafka)

Problem-solving

Critical thinking

Education

Bachelor's or Master's degree in Computer Science, Data Science, or related field

Job description

A management consulting firm based in Toronto is seeking a Data Engineering Lead responsible for designing and optimizing scalable data architectures. The role involves collaboration with cross-functional teams to translate requirements into effective data solutions. Ideal candidates should have a Bachelor's or Master's degree in a technical field, 5+ years of experience in data engineering, and proficiency in SQL and Python. The firm offers a hybrid working model and a comprehensive benefits package.