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Senior Data Engineer (Remote, Canada)
Data Science Full-time 4d ago
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AI Summary
Lead the design and implementation of scalable enterprise data platforms using Databricks and AWS. Combine software engineering expertise with data platform architecture to build robust pipelines, enforce best practices, and drive cloud-native data solutions. Collaborate cross-functionally to ensure maintainability, security, and governance in distributed environments.
Key Highlights
Architect and implement modern enterprise data platforms using Databricks, Delta Lake, and Unity Catalog
Lead end-to-end data platform implementations with hands-on experience in PySpark, Python, and SQL
Drive DevOps practices including CI/CD, Infrastructure as Code (Terraform), and version control
Key Responsibilities
Design and implement scalable enterprise data platforms using Databricks and AWS cloud services
Architect and oversee end-to-end data platform implementations with a focus on Delta Lake and Unity Catalog
Develop and maintain robust data pipelines using Python, PySpark, and SQL while adhering to software engineering best practices
Implement and manage Databricks platform components including Delta Lake, Unity Catalog, Databricks Asset Bundles, and Lakehouse Jobs
Collaborate with engineering teams to ensure scalable, secure, and maintainable data solutions
Apply Infrastructure as Code (Terraform) to support repeatable and reproducible environments
Contribute to architectural decisions and guide best practices for the data platform
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Technical Skills Required
Benefits & Perks
Flexible working hours in a remote environment
Health insurance (medical and dental) for T4 Employees
Professional development fund
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Nice to Have
Experience designing lakehouse architectures at scale
Optimization of distributed data workloads
Experience with AWS Glue (ETL, jobs, crawlers, workflows)
Governance, security, and data lineage framework implementation
Job Description
Role Overview
We are seeking a Senior Data Engineer - Databricks with strong expertise in Databricks to help design and implement modern enterprise data platforms. This role blends strong software engineering practices with advanced data platform architecture, requiring hands-on experience building scalable pipelines and designing robust data systems in the cloud. The engineer will contribute to platform architecture, implement reliable data solutions, and ensure best practices across development, testing, deployment, and governance within the data platform ecosystem.
Responsibilities
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