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 benefits 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 workplace for youth

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📌 data engineer (Ontario)
🏢 ApoSys Technologies
📍 Ontario