Data engineering advisor developing scalable data platforms and pipelines for Desjardins. Designing, integrating, and improving data systems aligned with business needs.
About the role
- Senior Data Engineer designing and implementing efficient data architectures for Terawatt Infrastructure. Collaborating with teams to optimize data pipelines and ensure data quality.
Responsibilities
- Design and implement scalable and efficient data architectures to support business needs.
- Collaborate closely with data scientists, analysts, and cross-functional teams to build and optimize data pipelines.
- Develop and maintain data models, databases, and data lakes
- Implement robust data governance and quality assurance practices.
- Transform raw time-series data into ML-ready features, training datasets, and batch predictions.
- Create reproducible workflows, reliable feature datasets, and batch prediction pipelines.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- 6+ years in data engineering, platform development, or large-scale data systems.
- Hands-on experience with Databricks or modern lakehouse platforms and cloud platforms (AWS, GCP, or Azure).
- Experience building scalable ETL/ELT pipelines using Spark and SQL.
- Proficiency in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
- Strong understanding of data modeling, schema design, and performance optimization.
- Experience building reliable, production-grade data pipelines with a focus on data quality and observability.
- Experience supporting analytics and/or ML workflows, including preparing ML-ready datasets.
- Working knowledge of data governance, security, and access control frameworks.
- Familiarity with Infrastructure as Code (IaC) and automated deployment workflows (e.g., Terraform).
- Proven ability to collaborate across teams and contribute to technical direction.
Benefits
- Comprehensive benefits package
- Performance-based incentives
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