Data Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Create and manage ingestion pipelines from product databases and SaaS platforms into Bronze-layer storage.

• Develop cleansing and conforming logic for the Silver-layer.

• Model Gold-layer datasets in dbt for both internal teams and external clients.

• Transform internal product, GTM, and AI use cases into Gold-layer data products.

• Facilitate direct data access, embedded BI, and curated exports for external clients.

• Monitor pipeline SLAs and address production incidents.

• Maintain catalog and lineage metadata while performing data-quality checks.

• Contribute to API-based SaaS connectors, data streams, AI-consumable datasets, and optimize lakehouse cost/performance.

• Gather data requirements in collaboration with cross-functional teams.

• Design, develop, maintain, and enhance scalable data pipelines, ETL processes, data models, and schemas.

• Ensure data consistency, integrity, availability, and accessibility across various storage systems.

• Troubleshoot data integration challenges and work closely with data source owners.

• Provide technical assistance and continuously enhance data engineering practices.

⛳️ Requirements

• Bachelor’s degree in computer science, engineering, or a related discipline.

• 3–10+ years of experience in data engineering, data warehousing, and ETL processes.

• Proficient in Python and SQL.

• Familiarity with AWS data services, especially S3, Glue, and Athena.

• Practical experience with dbt for data transformation and modeling.

• Knowledge of data lakehouse patterns and medallion architecture.

• Experience with Infrastructure as Code tools, particularly Terraform.

• Proficient in relational and NoSQL databases.

• Understanding of AI and machine learning concepts, with the ability to prepare data for AI-driven products.

• Fluent in both English and French, in spoken and written forms.

• Authorized to work in Canada; no work visa or transfer sponsorship is available.

• Strong problem-solving, analytical, communication, interpersonal, and customer satisfaction skills.

• Detail-oriented and capable of working both independently and collaboratively in a fast-paced environment.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and career growth.

• Flexible working hours and remote work options.

• Collaborative and innovative work environment.