Senior Data Engineer job opportunity at CAE Inc..

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DateMore Than 30 Days Ago bot
CAE Inc. Senior Data Engineer
Experience: 6-years
Pattern: full-time
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degreeBachelor's (B.A.)
loacation Montreal (St. Laurent), Canada
loacation Montreal (St. ..........Canada

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 worldclass company and industry leader and be proud to contribute to our projects and mission? Come join our team and share your passion with us!  Key Responsibilities:   We are seeking a highly skilled and motivated Data Platform Engineer to join our team. This role involves administering and enhancing our enterprise data platform, including Data Warehouses (DWH) and Data Lakes, ensuring optimal performance and scalability. The ideal candidate will have extensive experience with Terraform and a strong background in various data technologies.  Responsibilities:   Administer and enhance the enterprise data platform, including Data Warehouses (DWH) and Data Lakes, ensuring optimal performance and scalability.  Design, implement, and maintain robust and reliable data pipeline architecture to meet business needs, utilizing SQL and big data technologies such as Hadoop, Spark, and Kafka.  Establish and oversee infrastructure for efficient extraction, transformation, and loading (ETL) of data from diverse sources, ensuring adherence to best practices and standards.  Implement DevOps practices for continuous integration and continuous deployment (CICD) of data systems, enhancing agility and efficiency.  Integrate and manage data from multiple sources, including external and IoT data, ensuring data is a valuable enterprise asset.  Create and maintain backend data solutions for analysts and data scientists, facilitating insightful data analysis and decision-making.  Identify and implement process enhancements, such as automating manual tasks and optimizing data delivery, to improve efficiency and scalability.  Partner with stakeholders, including product teams, data experts, and architects, to resolve technical issues and support data infrastructure needs.  Ensure compliance with data architecture and security standards, maintaining data protection and privacy.  Set up observability and monitoring systems to track data pipeline reliability and provide prompt operational support in case of incidents.  Work with executive, CX, design, and development teams to support data-related technical needs and propose innovative ideas for data and AI products.  Inspire and motivate colleagues by sharing knowledge, contributing to a collaborative work environment, and promoting an Agile mindset.  Stay connected with industry trends and advancements, suggesting innovative ideas and improvements for data strategies and delivery processes.  Qualifications:   Bachelor's degree in Computer Science, Engineering, or related field. A Master’s is a plus.  A minimum of 6 years industry experience working with data, coding, and scripting (Python, Java, Scala, SQL, JavaScript, Bash), design, and testing.  Solid knowledge of CS fundamentals in algorithms and data structures.  Strong experience with Terraform.  Experience supporting and working with cross-functional teams in a dynamic environment.  Experience with big data tools: Hadoop, Spark, Kafka.  Experience with relational SQL and NoSQL databases, including SQL Server, PostgreSQL, and CosmosDB.  Experience with automated data pipeline and workflow management tools: DevOps, ARM, Azure Data Factory, Airflow.  Experience with Microsoft cloud services: Azure, Databricks, Fabric, Purview  Experience with stream-processing systems: Storm, Spark-Streaming.  Familiarity with Kubernetes for container orchestration.  Proficiency in Power BI for data visualization and reporting.  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 indentity 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 CAECarrieres-Careers@cae.com

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