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Data Engineering Manager Jobs in Quebec

Manager, Data Engineering Jobs
By Kinaxis At Québec, Quebec, Canada
An understanding of data governance, data privacy, data acquisition and data management is an asset
Develop, manage and maintain data dictionaries, metadata, and process flow documentation.
Maintain and manage revisions of code in production, testing and development environments.
Coordinate as required with vendors, contractor resources, and other external parties on development projects from requirements through delivery.
Bachelor’s Degree in Computer Science, related field, or relevant experience
Minimum 5 years of ETL design and development experience in a high-tech, global organization
Data Engineering Manager Jobs
By Bow River Solutions Inc. At Canada

Company Overview Bow River Solutions is a leading predictive analytics consultancy firm dedicated to answering business questions through visualization, storytelling, ML and AI. We believe in ...

Data Engineering Specialist Jobs
By CAE At Montreal, Quebec, Canada
Experience with automated data pipeline and workflow management tools: DevOps, ARM, Data Factory, Airflow.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Share knowledge with team members & participate in various learning-sharing activities
Excellent English and French written and verbal communication skills.
A minimum of 3 years industry experience working with data, coding and scripting (Python/Java/Scala/SQL/JS/Bash), design and testing.
A minimum of 3 years experience developing and administering large data systems.
Engineering Manager, Data Platform
By Moz At Canada
3+ years of experience leading engineers as a manager or technical lead including experience coaching and developing senior engineers.
10+ years of experience of working as software professional in various technical roles.
Proven experience increasing the reliability of existing backend services using observability, standardizing deployment, etc.
Proven experience of managing distributed systems at tens of terabytes.
Experience leading agile software development practices.
Work closely with other teams in Engineering, Customer Success, and Product to understand customer problems, research, and collaborate on technical solutions.

Are you looking for an exciting opportunity to lead a team of data engineers and help shape the future of data-driven decision-making? We are looking for a Data Engineering Manager to join our team and help us build the foundation for our data-driven products. You will be responsible for managing the development and maintenance of our data pipelines, ensuring data quality, and providing insights to our stakeholders. If you have a passion for data engineering and a drive to make an impact, we want to hear from you!

What is Data Engineering Manager Job Skills Required?

• Knowledge of data engineering principles, practices, and techniques
• Proficiency in programming languages such as Python, Java, and SQL
• Knowledge of data warehousing, ETL, and data modeling
• Experience with data analysis and data visualization tools
• Ability to work with large datasets and complex data structures
• Ability to design, develop, and maintain data pipelines
• Ability to troubleshoot and debug data engineering issues
• Ability to work with stakeholders to define data requirements
• Ability to communicate effectively with technical and non-technical stakeholders

What is Data Engineering Manager Job Qualifications?

• Bachelor’s degree in Computer Science, Information Technology, or related field
• 5+ years of experience in data engineering
• Experience with cloud computing platforms such as AWS, Azure, or GCP
• Experience with data warehouse technologies such as Redshift, Snowflake, or BigQuery
• Experience with data streaming technologies such as Kafka, Kinesis, or Flink
• Experience with data visualization tools such as Tableau, PowerBI, or Looker
• Experience with data security and privacy best practices

What is Data Engineering Manager Job Knowledge?

• Knowledge of data engineering principles, practices, and techniques