Overview Languages English Education
• College, CEGEP or other non-university certificate or diploma from a program of 1 year to 2 years Experience 1 year to less than 2 years Hybrid Work must be completed both in person and remotely. Responsibilities Tasks
• Assess and troubleshoot applications software
• Build predictive models
• Communicate the business and technical perks of the analytic solution to both business and technical audiences
• Conduct business and technical studies to aid in decisions on system implementation or migration
• Conduct research regarding availability and suitability of data
• Confer with clients to identify requirements
• Data Science
• Design methods of collecting and processing data to answer specific research questions
• Develop data mapping methods
• Develop process and network models to optimize architecture
• Develop queries and logic to generate reports
• Discover trends and patterns within large amounts of information
• Document data access rules
• Document technical requirements to ensure that products, processes and solutions meet business requirements
• Extract information from unstructured sets of data
• Highlight key data sources and the methodology to be used on a specific project
• Provide advice on the selection of automated anomaly detection systems
• Research data collection and administration policy
• Synthesize technical information through creation of data visualization
• Use ensemble modelling to combine multiple algorithms to obtain better predictive performance
• Design and develop database




• Provide advice on information systems strategy, policy, management and service delivery
• Assess physical and technical security risks to data, software and hardware
• Operate database management systems to analyze data
• Develop and implement data administration policy, standards and models
• Develop policies, procedures and contingency plans to minimize the effects of security breaches
• Develop and implement policies and procedures throughout the software development life cycle
• Research and document data requirements, data collection and administration policy, and data access rules
• Conduct reviews to assess quality assurance practices, software products and information systems
• Develop policies and procedures for network access and usage and for the backup and recovery of data
• Write scripts related to stored procedures and triggers
• Resolve conflict situations
• JavaScript Object Notation (JSON)
• Robotic process automation
• Usability testing Additional information Personal suitability
• Accurate
• Team player
• Flexibility
• Adaptability
• Dedication
• Innovation
• Analytical Employment groups This employer promotes equal employment opportunities for all job applicants, including those self-identifying as a member of these groups: Support for youths
• Participates in a government or community program or initiative that supports youth employment
• Offers on-the-job training tailored to youth
• Offers mentorship, coaching and/or networking opportunities for youth
• Provides awareness training to employees to create a welcoming work environment for youth

📌 data engineer (Mississauga)
🏢 ApoSys Technologies
📍 Mississauga