Cogeco Inc. • Montreal, Montreal (administrative region), CA
Il y a plus de 30 jours
Type de contrat
Temps plein
Description de poste
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 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).
Automate manual tasks using scripting languages (e.g., Bash, Python) and
Partner with cross-functional teams (IT, Analytics, Data Science, etc.) to gather data requirements and improve data-driven decision-making.
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).
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.
Functional knowledge of encryption technologies (SSL, TLS, SSH) and data protection measures.
Experience implementing governance best practices to ensure data security and regulatory compliance.
Excellent communication and collaboration skills to partner effectively with cross-functional teams.
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.
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 : We’ve got you covered.
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