Specialist, Data Engineering

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Time Type:

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.

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.

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: Let's 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 :

Company :

Breezeline

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.

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