Data Platform Specialist & Data Engineer

CAE; Montreal (administrative region); On-site; CAD 75,000 - 100,000; Full time

Job summary

A leading aerospace and defense company located in Montreal is looking for a skilled data engineer to build scalable data pipelines and optimize data extraction processes. The successful candidate will have experience in data systems, coding, and big data tools such as Hadoop and Spark. This role requires a Bachelor's degree in a related field and offers a collaborative environment focused on innovation and efficiency.

Qualifications

• 3+ years industry experience working with data and scripting.
• Experience developing and maintaining large data systems.
• Solid knowledge of algorithms and data structures.

Responsibilities

• Build an optimal and scalable data pipeline.
• Integrate data sets with business requirements.
• Implement internal process improvements.

Skills

Data pipeline development

Coding in Python/Java/Scala/SQL/JS/Bash

Big data tools: Hadoop, Spark, Kafka

Relational and NoSQL databases

DevOps, ARM, Data Factory

Education

Bachelor's degree in Computer Science or related field

Tools

Azure

Databricks

Airflow

Job description

About This Role

Passionate about your field? Looking for a work environment where you can meet challenges, innovate, use state‑of‑the‑art tools and collaborate with experts from various sectors? Want to join a world‑class company and industry leader and be proud to contribute to our projects and mission? Come join our team and share your passion with us!

Responsibilities

• Build an optimal and scalable data pipeline aligned with the target architecture.
• Integratedata set aligned with business requirements.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources and ‘big data’ technologies.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re‑designing infrastructure for greater scalability.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Keep data separated and secure across national boundaries through multiple data centers.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 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.
• Solid knowledge of CS fundamentals in algorithms and data structures.
• Experience with big data tools: Hadoop, Spark, Kafka.
• 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 with stream-processing systems: Storm, Spark‑Streaming.

Position Type: Regular

CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.

Equal Opportunity Employer

CAE is an equal opportunity employer committed to providing equal employment opportunities to all applicants and employees without regard to race, nationality, colour, religion, sex, gender identity and expression, sexual orientation, disability, neurodiversity, veteran status, age, or other characteristics protected by local laws. If you don't see yourself fully reflected in every job requirement listed in the job posting, we still encourage you to reach out and apply. At CAE, everyone is welcome to contribute to our success. Applicants needing reasonable accommodations should contact their recruiter at any point in the recruitment process. If you need assistance to submit your application because of incompatible assistive technology or a disability, please contact us at [e-mail]