Job Title: Data Engineer / Full Stack Engineer – Databricks & Data Platform
Location: Canada
Client: A Leading IT Digital Consultancy Company
Positions: 2–3 Openings
Experience: 4–7 Years
Start Date: Immediate
Key Skills - DataBricks Experience is must

REQUIRED SKILLS

• Strong experience with Databricks, including Delta Lake and Unity Catalog
• Hands-on expertise in building batch pipelines (knowledge of Spark Structured Streaming is a plus)
• Proficient in PySpark, Python, SQL, and transformation logic
• Solid understanding of API development and integration
• Experience working in collaborative environments across engineering, application, and AI teams
• Familiarity with data product design, governance models, and security best practices

ROLE OVERVIEW

We are hiring Data Engineers with Full Stack capabilities to support our client’s growing need for data-driven solutions and intelligent agents. The engineers will work with a cross-functional team to deliver reusable data products, support Unity Catalog migration, and build integrations between data services and business applications.
This is a high-impact role enabling the delivery of modern, secure, and AI-ready data infrastructure.

KEY RESPONSIBILITIES

• Design and develop data pipelines using Databricks Lakehouse (Delta Lake, PySpark)
• Support migration to Unity Catalog from legacy Databricks setups
• Build and integrate APIs to enable application connectivity and reusable services
• Participate in the end-to-end data product lifecycle (from ingestion to consumption)
• Collaborate with app developers, platform teams, and AI teams to build tools supporting use cases like transcript analytics
• Extend the platform’s capabilities to support the development of 100+ virtual agents