College, CEGEP or other non-university certificate or diploma from a program of 1 year to 2 yearsOverviewLanguagesEnglishEducationCollege, CEGEP or other non-university certificate or diploma from a program of 1 year to 2 yearsExperience1 year to less than 2 yearsHybridWork must be completed both in person and remotely.ResponsibilitiesTasksAssess and troubleshoot applications softwareBuild predictive modelsCommunicate the business and technical advantages of the analytic solution to both business and technical audiencesConduct business and technical studies to aid in decisions on system implementation or migrationConduct research regarding availability and suitability of dataConfer with clients to identify requirementsData ScienceDesign methods of collecting and processing data to answer specific research questionsDevelop data mapping methodsDevelop process and network models to optimize architectureDevelop queries and logic to generate reportsDiscover trends and patterns within large amounts of informationDocument data access rulesDocument technical requirements to ensure that products, processes and solutions meet business requirementsExtract information from unstructured sets of dataHighlight key data sources and the methodology to be used on a specific projectProvide advice on the selection of automated anomaly detection systemsResearch data collection and administration policySynthesize technical information through creation of data visualizationUse ensemble modelling to combine multiple algorithms to obtain better predictive performanceDesign and develop databaseProvide advice on information systems strategy, policy, management and service deliveryAssess physical and technical security risks to data, software and hardwareOperate database management systems to analyze dataDevelop and implement data administration policy, standards and modelsDevelop policies, procedures and contingency plans to minimize the effects of security breachesDevelop and implement policies and procedures throughout the software development life cycleResearch and document data requirements, data collection and administration policy, and data access rulesConduct reviews to assess quality assurance practices, software products and information systemsDevelop policies and procedures for network access and usage and for the backup and recovery of dataWrite scripts related to stored procedures and triggersResolve conflict situationsJavaScript Object Notation (JSON)Robotic process automationUsability testingAdditional informationPersonal suitabilityAccurateTeam playerFlexibilityAdaptabilityDedicationInnovationAnalyticalEmployment groupsThis employer promotes equal employment opportunities for all job applicants, including those self-identifying as a member of these groups:Support for youthsParticipates in a government or community program or initiative that supports youth employmentOffers on-the-job training tailored to youthOffers mentorship, coaching and/or networking opportunities for youthProvides awareness training to employees to create a welcoming work environment for youth

📌 Data Engineer (Mississauga)
🏢 ApoSys Technologies
📍 Mississauga