Data Engineer Jobs

WHO IS BOS?

We are a custom Machine Builder that provides automation solutions for manufacturing companies with cutting edge technologies. For 25 years we have been growing and adding key members to our team. We believe in pushing the boundaries of new technologies, supporting the development of our team members through internal/external training and co-op programs, while ensuring each employee has work-life balance because family matters. When adding people to our team, cultural fit is very important. We look for employees who are innovative, adaptable, hardworking, courageous, focused and team players. Come join our team!

Job Type: Permanent, Full Time

Position Summary

We are seeking an experienced Data Engineer to join our growing team. You will be responsible for designing, implementing, and maintaining a robust data architecture that stores machine data from a broad range of customers. The role also entails driving the internal adoption of AI tools, configuring internal business data, and shaping data infrastructure that optimizes our AI capabilities. Our ideal candidate is adept at transforming complex data into impactful business insights that fuel strategic decision-making in our organization.

Requirements

EDUCATION/EXPERIENCE:

• Ensure our systems comply with business requirements and industry standards for data quality, security, and privacy
• Design efficient data models, diagrams, and schema designs to effectively manage vast machine data
• Manage cloud migration and data integration from diverse sources using tools like Azure Data Factory and Git
• Minimum 1-3 years' experience, new graduates welcome
• Design databases efficiently using both normalized and denormalized approaches for optimal data storage and retrieval
• Develop, test, and maintain data architectures such as databases and large-scale processing systems
• Proficient understanding of distributed computing principles.
• Strong project management and organizational skills.
• Utilize data from various sources, including the data warehouse, to create comprehensive, visually appealing reports that support data-driven decision-making
• Build and maintain scalable data pipelines and API integrations to manage data complexity and volume effectively
• Interpret and utilize ER-Diagrams for efficient data modeling and system implementation
• Drive AI initiatives to enhance business intelligence reports and support data-driven insights
• Experience in developing scalable and efficient data models and data pipelines
• Design and manage ETL pipelines
• Expertise in SQL/NoSQL databases, and cloud-based data warehousing solutions.
• Align internal business data with our AI strategies to fully optimize our intelligent processes and solutions
• Experience with object-oriented/object function scripting languages: Python, Java, C++, etc
• Collaborate with stakeholders to transform data and develop features that enhance our models
• Strong analytic skills related to working with unstructured datasets.
• Utilize SQL and Python expertise for efficient data processing and pipeline management
• Post secondary education in computer science, software engineering, Information Technology, or related field
• Understand and meet data analyst needs, providing high-quality data for report generation or machine learning applications
• Use SSMS for performance inspection and SQL query tuning, enhancing query execution speed and minimizing data transport costs
• Proficiency in using AI and Machine Learning tools and understanding of data structures, modeling, and algorithmic principles
• Select and optimize Azure cloud services to meet company requirements and budget constraints
• Provide company-wide business intelligence through accurate and reliable data

EDUCATION/EXPERIENCE:

• Expertise in SQL/NoSQL databases, and cloud-based data warehousing solutions.
• Minimum 1-3 years' experience, new graduates welcome
• Strong project management and organizational skills.
• Post secondary education in computer science, software engineering, Information Technology, or related field
• Strong analytic skills related to working with unstructured datasets.
• Proficient understanding of distributed computing principles.
• Proficiency in using AI and Machine Learning tools and understanding of data structures, modeling, and algorithmic principles
• Experience with object-oriented/object function scripting languages: Python, Java, C++, etc
• Experience in developing scalable and efficient data models and data pipelines

This description reflects management’s assignment of essential functions, it does not prescribe or restrict the tasks that may be assigned. BOS welcomes applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

Your interest in this opportunity is appreciated. Applicants must be eligible to work in Canada. Only those applicants selected for an interview will be contacted.

Benefits

• Competitive Salary
• Employee Assistance Program
• Annual Profit Sharing
• Flexible Work Hours
• Employee recognition program
• Subsidized Lunch Program
• RRSP Employee/Employer Matching Program
• Performance appraisal program
• Bi-annual company events
• BOS Promotional Clothing
• Ping Pong table in Cafeteria for lunches and breaks
• Career planning & goal setting
• Onsite Gym and Locker Room with Showers
• Staff appreciation lunches & Socials
• Health Benefits Program (multiple extended health care plans to choose from)
• Telecommuting Opportunities
• Mentorship and Leadership Programs