Specialist, Data Engineering

Specialist, Data Engineering Time Type: Regular Key Responsibilities Data Integration & Architecture Develop and orchestrate data pipelines for ingestion from various sources (e.g. MySQL, Oracle, PostgreSQL, flat files, etc.) into a cloud-based environment and move data around multiple systems based on business needs and requirements. Collaborate with Data Analysts and Data Architects on defining data models, requirements, and architecture for optimal performance in databases (e.g. BigQuery or other cloud-based relational databases). Ensure robust ETL/ELT processes that support scalability, reliability, and efficient data access. Data Governance & Classification Implement and maintain data governance frameworks and standards, focusing on data classification, lineage, and documentation. Utilize Collibra or similar platforms to manage data catalogs, business glossaries, and data policies. Work closely with stakeholders to uphold best practices for data security, compliance, and privacy. Process Improvement & Automation Identify, design, and implement process enhancements for data delivery, ensuring scalability and cost-effectiveness. Automate manual tasks using scripting languages (e.g., Bash, Python) and enterprise scheduling/orchestration tools like Airflow. Conduct root cause analysis to troubleshoot data issues and implement solutions that enhance data reliability. Cross-Functional Collaboration Partner with cross-functional teams (IT, Analytics, Data Science, etc.) to gather data requirements and improve data-driven decision-making. Provide subject matter expertise on cloud data services, data classification standards, and governance tools. Monitor and communicate platform performance, proactively recommending optimizations to align with organizational goals. Skills & Qualifications Technical Expertise Experience with at least one major cloud platform (AWS, Azure, GCP), with GCP exposure considered a significant asset. Strong understanding of RDBMS (PostgreSQL, MySQL, Oracle, SQL Server) with the ability to optimize SQL queries and maintain database performance. Familiarity with version control systems (Git) to manage codebase changes and maintain a clean development workflow. Familiarity with data governance and classification concepts, leveraging Collibra or similar platforms to manage data lineage, business glossaries, and metadata. Knowledge of Linux/UNIX environments, and experience working with APIs (XML, JSON, REST, SOAP). Data Pipeline Development Demonstrated ability to build large-scale, complex data pipelines for ETL/ELT processes. Hands‑on experience with scripting/programming languages (e.g., Python, Bash) to automate data workflows and error handling. Strong analytical and problem‑solving skills with the ability to work with unstructured datasets. Security & Compliance Functional knowledge of encryption technologies (SSL, TLS, SSH) and data protection measures. Experience implementing governance best practices to ensure data security and regulatory compliance. Soft Skills Excellent communication and collaboration skills to partner effectively with cross‑functional teams. Curiosity and a growth mindset, with the initiative to explore emerging data technologies. Bilingualism (written and spoken) is an asset to interface with stakeholders in Ontario and across the United‑States. Education & Experience Bachelor’s degree in Information Technology, Computer Science, or a related field; or an equivalent combination of education and experience. 5 years of progressive experience in data engineering, data analytics, or a similar role. Proven track record in architecting, optimizing, and delivering enterprise‑grade data solutions on a major cloud platform (AWS, Azure, or GCP). Demonstrated commitment to continuous learning and improvement in data engineering methodologies. If you’re passionate about leveraging cloud technologies to build efficient, scalable data pipelines—and ensuring that data remains well‑classified, well‑governed, and accessible—we’d love to hear from you You’ll Benefit From Flexibility: What you do matters, at work and at home. Fun: We laugh a lot; it makes every day brighter. Discounted services: Our clients’ services are available to you. Rewarding Pay: Attractive compensation packages with a great culture. Benefits: Comprehensive benefits package. Career Evolution: Tools to achieve your career goals. Technology: Manage, influence, play, create, fix, and shape the industry. Location: Montréal, QC Company: Cogeco Communications Inc. Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Engineering and Information Technology Industries: Telecommunications If you need any accommodations to apply or as part of the recruitment process, please contact us confidentially at inclusion@cogeco.com. #J-18808-Ljbffr