
L4 Data Management (Data Engineer)
- Burnaby, BC
- 104.000-156.000 $ par an
- Permanent
- Temps-plein
- Partner with business and technology stakeholders to understand data requirements and translate them into technical designs for resilient, high-performance data pipelines.
- Lead the design, development, and deployment of sophisticated data ingestion, transformation, and delivery solutions using modern, cloud-native technologies.
- Develop and maintain robust, scalable data pipelines for continuous and reliable data flow, ensuring the quality and availability of data for machine learning models, analytics, and critical business operations.
- Work with diverse and complex datasets, engineering elegant solutions to extract, model, and prepare data for a variety of downstream use cases.
- Architect and implement the transformation and modernization of our data solutions, leveraging Google Cloud Platform (GCP) native services and other leading-edge data technologies.
- Identify opportunities for and implement automation in the development and production lifecycle to improve efficiency, reliability, and speed.
- Champion and implement best practices in software engineering, data engineering, and data management within the team.
- Continuously assess the evolving data technology landscape and identify new opportunities to drive innovation and efficiency.
- A proven track record of designing, building, and deploying data pipelines and solutions that deliver tangible business value, reflected in your 5+ years of IT platform implementation experience.
- Bachelor's degree in Computer Science, Engineering, or an equivalent field.
- Deep understanding and hands-on experience in data engineering principles and best practices, with advanced knowledge of Dataflow, Spark, or Kafka.
- Strong systems design experience with the ability to architect, document, and explain complex system interactions, data flows, and APIs.
- Excellent communication skills, with the ability to articulate complex data concepts and solutions clearly to diverse technical and non-technical audiences.
- Advanced experience with Python and mastery of data manipulation libraries (like Pandas), paired with strong SQL skills for complex querying and data analysis.
- Familiarity with at least one major cloud computing platform (GCP, AWS, Azure), with practical experience deploying data solutions.
- Strong analytical and problem-solving skills, with a talent for translating complex business needs into scalable and maintainable data solutions.
- A passion for innovation, a results-oriented mindset, an agile approach with a bias for action, and a change agent mentality.
- GCP Professional Data Engineer certification.
- Practical experience with Databricks, Azure, or AWS data services.
- An understanding of telecommunications data models or TMF standards.
- Experience in MLOps, supporting the data infrastructure required for machine learning workflows.
- Familiarity with Infrastructure as Code (e.g., Terraform) and CI/CD practices
- Comprehensive total rewards package highlighting competitive salary and bonus structures, minimum 3 weeks of vacation, and flexible benefits plan to meet the needs of you and your family
- Flexibility to work in-office, virtually or a combination of both, based on the role's requirements
- Generous company matched pension and share purchase programs
- Opportunity to give back to communities in which we work, live and serve
- Career growth and learning & development opportunities to develop your skills
- And much more …
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