Online Business Systems is hiring a
Data Engineer

Summary

We are seeking an experienced Data Engineer with 5+ years of experience in cloud data services, particularly Azure, AWS, and/or GCP, to join our Technology Consulting team. The role involves architecting and developing efficient data pipelines, collaborating with clients, designing cloud-based data platforms, implementing data governance practices, building and optimizing data models, working with BI developers and data scientists, utilizing modern software development practices, and more.

Requirements

• 5+ years of experience in data engineering, with hands-on experience in cloud data services, particularly in Azure, AWS and/or GCP
• Expertise in developing scalable ETL pipelines using tools like Azure Data Factory, AWS Glue, Databricks, or Snowflake
• Experience designing and implementing data lakes and data warehouses to support diverse analytics workloads
• Practical experience with BI tools such as Power BI, Tableau, or Looker, and familiarity with modern data visualization principles
• Strong programming skills in Python, with familiarity in SQL, Spark, or PySpark to handle large datasets
• Understanding of data governance, data quality frameworks, and the ability to implement security and privacy controls around sensitive data
• Experience with DevOps practices such as CI/CD, automation, and infrastructure as code (e.g., Terraform, Ansible)

Responsibilities

• Architect and develop efficient, scalable data pipelines using modern ETL frameworks to transform data from diverse sources into centralized data warehouses or data lakes
• Collaborate with clients to understand and translate their business needs into technical requirements for data infrastructure solutions
• Design, build, and maintain cloud-based data platforms (Azure, AWS, and/or GCP) that enable seamless integration of structured, semi-structured, and unstructured data
• Implement data governance best practices and ensure data quality, security, and compliance with relevant regulations
• Build and optimize data models (dimensional, relational, and NoSQL) that support both batch and real-time analytics needs
• Work with BI developers and data scientists to deliver comprehensive data solutions, including dashboards, machine learning models, and AI-driven insights
• Utilize modern software development practices such as CI/CD pipelines, source code management, and agile methodologies to deliver robust and reliable data solutions

Preferred Qualifications

• Familiarity with AI/ML technologies and their application in data engineering projects is a plus
• Proven ability to work with business stakeholders to define data-related business needs and deliver value-driven solutions

Benefits

• Competitive compensation and benefits package
• Professional Development budget and time
• Career Mentor to help you grow in your career
• RRSP/401K match program
• Bonus programs to reward you for your accomplishments
• Wellness program to keep you healthy
• Opportunities to connect – book clubs, games nights, Special Interest Groups, “Coffee & Code” for our developer friends, Team Meetings, and much more