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

📌 data engineer (Mississauga)
🏢 ApoSys Technologies
📍 Mississauga