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 setting for youth

📌 data engineer (Mississauga)
🏢 ApoSys Technologies
📍 Mississauga