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Company | CAE |
Address | Montreal, Quebec, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Aviation and Aerospace Component Manufacturing |
Expires | 2023-06-23 |
Posted at | 11 months ago |
Role And Responsibilities
- Meaningful work that drives professional development
- Ability to enter and grow within the technology industry
- Work in a collaborative environment
- Be part of a high-performance team
- Create and maintain optimal and scalable data pipeline architecture.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources and ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Keep data separated and secure across national boundaries through multiple data centers.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Work with stakeholders including the Executive, CX and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Be a change agent & Agile mindset promoter
- Be an inspirational and motivational colleague
- Be connected to the industry to know tendencies and suggest innovative ideas
- Contribute to the collaborative and stimulating work environment
- Share knowledge with team members & participate in various learning-sharing activities
- Join the engine that is changing CAE, pointing towards the next horizon of growth through digital innovations to support our customers in their success.
- Willingness to participate in all levels of project work when necessary.
- 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.
- Experience with stream-processing systems: Storm, Spark-Streaming.
- Experience with relational SQL and NoSQL databases, including SQL Server and CosmosDb.
- Experience with automated data pipeline and workflow management tools: DevOps, ARM, Data Factory, Airflow.
- Experience with Microsoft cloud services: Azure, Databrick.
- Experience supporting and working with cross-functional teams in a dynamic environment. Experience with big data tools: Hadoop, Spark, Kafka.
- A minimum of 3 years experience developing and administering large data systems.
- Bachelor's degree in Computer Science, Engineering, or related field.
- Solid knowledge of CS fundamentals in algorithms and data structures.
- Fun at work: social and community events all-year round!
- Personal and Family Programs: Physical Wellness Plan & Supplementary Maternity Plan
- Financial Perks: Employee Stock Purchase Plan & numerous corporate discounts
- Retirement: Defined Benefits Retirement Plan & Group Registered Retirement Savings Plan (RRSP)
- Work-Life Balance: Flextime & California Fridays all year
- Benefits: fully flexible for you to choose what is important
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