Data Engineering Specialist
17 hours ago
Summary: Data Engineering Specialist responsible for designing, building, and maintaining big data pipelines in the cloud, working with AI/ML pipelines and ensuring data security and governance.
At Bombardier, we design, build and maintain the world's peak-performing aircraft for the world's most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.
Bombardier's Data Engineering Specialist RoleThis role is part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.
Key Responsibilities- Support the Aftermarket Cloud Data Platform team ingest various sources of data such as the Smart Link Plus / Aircraft Health Management System (IoT) bulk transfers from our in-service aircraft.
- Develop and maintain ETL pipelines that bring raw data (bronze) to a state easily consumable by AI/ML (gold), for example by our state-of-the-art Predictive Maintenance solution.
- Monitor and optimize the pipelines for cost and performance, working closely with the AI & Cloud Architect and ML engineers.
- Work in close collaboration with data scientists and other stakeholders of the Digital Innovation Office, such as product owners and business analysts, to ensure the pipelines meet business needs and quality requirements.
- Assist ML engineers develop and maintain AI/ML pipelines serving our customer-facing, cloud-based Digital Portfolio of applications.
- Enforce DevSecOps best practices.
- Establish a robust governance to control data access and protect sensitive data.
- Lead new initiatives thus ultimately contributing to our culture of innovation and data-centric vision.
- Bachelor's degree in computer science, Engineering, or related field.
- Experience integrating ETL pipelines in a business context with proven benefits.
- Experience deploying big data pipelines in the cloud.
- Experience with AI/ML pipelines.
- Experience with Snowflake or Databricks.
- Experience with time-series data, particularly telemetry data.
- Master Python, SQL, and Bash.
- Proficient in data manipulation and analysis using Pandas or similar tools.
- Proficient in big data processing using Spark or similar tools.
- Result-driven, open-minded, curious, autonomous, and enthusiastic.
- Team player with above-average communication skills in English and French.
Please note: You don't need all the skills, knowledge, and experience listed for this position. We're not looking for the perfect candidate, we're looking for great talent and resourcefulness.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.
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