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.