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Specialist, Data Engineering
Specialist, Data EngineeringCogeco • Burlington, Ontario, Canada
Specialist, Data Engineering

Specialist, Data Engineering

Cogeco • Burlington, Ontario, Canada
Il y a 6 jours
Type de contrat
  • Temps plein
Description de poste

Our culture lifts you upthere is no ego in the way. Our common purpose We all want to win for our customers. We aim to always be evolving dynamic and ambitious. We believe in the power of genuine connections. Each employee is a part of what makes us unique on the market : agile and dedicated.

Time Type : Regular

Job Description : JOB SUMMARY :

Reporting to the Lead Data Engineering the Data Engineering Specialist is responsible for designing

developing and maintaining data integration and transformation processes in our cloud-based

data platform. While experience in Google Cloud Platform (GCP) is a significant asset

candidates with proven expertise in other major cloud platforms (AWS Azure) will also be

considered. This role emphasizes data governance classification and complianceleveraging

tools such as Collibra to ensure high-quality secure and well-documented data assets.

Relevant du Gestionnaire Ingénierie des Données le Spécialiste en Ingénierie de données est responsable de la conception du développement et de la maintenance des processus dintégration et de transformation des données sur notre plateforme de données basée sur le cloud.

Key Responsibilities

1. Data Integration & Architecture

Develop and orchestrate data pipelines for ingestion from various sources (e.g. MySQL Oracle PostgreSQL flat filesetc.) into a cloud-based environment and move data around multiple system based on the 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.

2. 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.

3. 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.

4. 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

Bachelors 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 youre passionate about leveraging cloud technologies to build efficient scalable data

Pipelinesand ensuring that data remains well-classified well-governed and accessiblewed love to hear from you!

Youll benefit from :

Flexibility : Yes we think that what you do matters. At work and at home.

Fun : We laugh a lot it makes every day brighter.

Discounted services : We provide amazing services to our clients and youll get them at home because you deserve them.

Rewarding Pay : Lets be honest everybody likes to make a good salary. We offer attractive compensation packages and it comes with a great culture.

Benefits : Weve got you covered.

Career Evolution : Join us and we will give you the tools to achieve your career goals!

Technology : You have a passion for technology Excellent we do too. Here you will manage influence play create fix and shape the industry.

Location : Burlington ON

Company : Cogeco Connexion Inc

At Cogeco we know that different backgrounds perspectives and beliefs can bring critical value to our business. The strength of this diversity enhances our ability to imagine innovate and grow as a company. So we are committed to doing everything in our power to create a more diverse and inclusive world of belonging.

By creating a culture where all our colleagues can bring their best selves to work were doing our part to build a more equitable workplace and world. From professional development to personal safety Cogeco constantly strives to create an environment that welcomes and nurtures all. We make the health and well-being of our colleagues one of our highest priorities for we know engaged and appreciated employees equate to a better overall experience for our customers.

If you need any accommodations to apply or as part of the recruitment process please contact us confidentially at

Required Experience :

IC

Key Skills

GIS,Computer Data Entry,Facilities Management,ADMA,Fleet,Key Account

Employment Type : Full-Time

Experience : years

Vacancy : 1

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Data Engineering Specialist • Burlington, Ontario, Canada

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