Data Engineer

Aposys Technologies Inc. — Canada · Posted ~3 hours ago

Junior Full-time Hybrid

Skills

Data Engineering Data Science Predictive Modeling Data Analysis Data Mapping Process Modeling Network Modeling SQL Requirements Gathering Data Research Reporting

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Summary ✨ AI‑Generated

Join a data-focused team to assess and troubleshoot software, build predictive models, research and process data, discover patterns, and develop queries and logic for reporting. You will collaborate with clients and technical stakeholders, translate analytical benefits into business value, and help design data and process models.

Highlights

Hybrid data engineering opportunity combining predictive modeling, data research, analytics, reporting, process optimization, and direct collaboration with business and technical stakeholders.

Description

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 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