data engineer
<p><b>Role: Data Engineer<br /> <br /> <br /> Location: Canada (Remote)<br /> Employment Type: Full-Time<br /> Work Authorization: Canadian Citizen / Permanent Resident (PR) / Valid Canadian Work Permit<br /> Pay Rate: CAD $90,000 $115,000 per year<br /> Travel: Not Required</b></p> <b>Who Should Apply:</b> <p><b>#</b> Business Intelligence Analysts, Database Analysts, SQL Developers, Database Developers, Analytics Engineers, Reporting Analysts, Data Integration Analysts, Data Warehouse Analysts, Business Analysts, Systems Analysts, Business Systems Analysts, Application Support Analysts, Data Quality Analysts, Data Operations Analysts, IT Analysts, Data Engineers, Junior Data Engineers, Data Analysts, Data Developers, ETL Developers, BI Developers etc and others.<br /> <br /> <b>#</b> Professionals returning to the workforce<br /> <b>#</b> Individuals from diverse backgrounds</p> <b>Job Description</b> <p>We are seeking a motivated and detail-oriented <b>Data Engineer</b> to support <b>data integration, data processing, ETL development, data pipelines and data platform initiatives</b>. You will work closely with data, analytics, business<br /> and technology teams to build reliable data solutions and ensure data is accessible, accurate and ready for reporting and analysis.</p> <b>Key Responsibilities:</b> <ul data-spread="false"> <li>Assist with designing, developing, and maintaining <b>data pipelines and ETL processes</b>.</li> <li>Collect, transform, validate and integrate data from multiple sources.</li> <li>Work with structured and semi-structured data for reporting and analytics.</li> <li>Write and maintain <b>SQL queries</b> for data extraction, transformation and validation.</li> <li>Support data warehouse and database development activities.</li> <li>Assist with data migration, cleansing, reconciliation and quality checks.</li> <li>Monitor data pipelines and troubleshoot processing or integration issues.</li> <li>Collaborate with Data Analysts, BI teams, developers and business stakeholders.</li> <li>Support automation of data processing and recurring data workflows.</li> <li>Prepare technical documentation for data pipelines, data sources and processes.<br /> <br /> <b>Apply now to explore more about this opportunity.</b><br /> </li> </ul>