Data Engineer Co-Op

IKO North America•Mississauga, ON

2d•Onsite

About The Position

IKO Industries Ltd. is seeking a Data Engineer Co-Op to join their Analytics team. This role involves assisting in building and maintaining data pipelines for seamless ETL processes. The co-op will work closely with senior developers to understand business requirements, troubleshoot issues, and optimize performance. The Analytics team at IKO is focused on transforming raw data into actionable insights to drive efficiency, reduce waste, and enhance product quality, thereby shaping the company's future and maintaining its global leadership in roofing, insulation, and waterproofing solutions. This is an opportunity to gain hands-on experience through real-world projects and mentorship in a dynamic and innovative environment.

Requirements

A current student with a background in computer science, data engineering, or a related field.
A foundational knowledge of SQL and ETL tools (e.g., Azure Data Factory, Databricks, SSIS, Talend, etc.).
A keen interest in data integration, transformation, ETL and ELT best practices.
Strong problem-solving and organizational skills, with an attention to detail.
A willingness to learn and collaborate with a team to build high-quality data solutions.
Knowledge of the software development lifecycle (SDLC) and applied experience with data-related projects
Self-motivated, adaptable, and able to manage multiple priorities in a fast-paced environment
A team player, and initiator, with the ability to manage complex tasks and priorities

Nice To Haves

Experience in data transformation, integration (cloud-based solutions), and the Microsoft Fabric stack (e.g., Azure Data Lake, Data Factory Azure Synapse, Synapse Data Warehouse) a plus
Bilingual proficiency in spoken and written French is an asset

Responsibilities

Develop and maintain data pipelines that ensure data from various sources is accurately integrated into our systems.
Collaborate with cross-functional teams to understand data needs and transform business requirements into technical solutions.
Optimize data pipelines for performance, ensuring data accuracy and timeliness.
Assist in monitoring data pipelines and quickly resolve any issues that arise.
Document Data pipelines and solutions to contribute to traceability, training and ongoing improvements.