Job Description: Job Title: L4 Engineer
Location: Toronto, ON
Work Type: Hybrid (2–3 days onsite per week, or specify
as needed)
Years of Experience Required: 5–10 years
Job Description
We are seeking an experienced L4 Engineer with strong hands-on expertise in modern data engineering, cloud platforms, and application development. The successful candidate will work across Azure data services, Databricks workflows, and Java/Python‑based engineering to support complex data and analytics solutions. This role requires excellent problem‑solving skills, strong coding abilities, and the ability to work in a fast‑paced, collaborative environment.
Key Responsibilities
- Design, develop, and optimize data pipelines using Azure
Databricks, Azure Data Factory, and Azure SQL.
- Build scalable data engineering and analytics solutions
following best practices in cloud architecture.
- Develop microservices, APIs, and backend components using
Java Spring Boot and Python.
- Utilize GitHub and GitHub Copilot for version control,
code quality, and accelerated development.
- Implement MLOps workflows and model lifecycle automation
using H2O, Databricks ML, or similar technologies.
- Work with TigerGraph for graph-based data modeling,
queries, and analytics optimization.
- Troubleshoot critical production issues and perform root‑cause
analysis across cloud workloads.
- Collaborate with cross‑functional teams including data
engineers, architects, and data scientists.
- Ensure adherence to security, scalability, and
performance best practices across the full development lifecycle.
Top Required Skills
- Azure Databricks (Primary Skill)
Strong experience building notebooks, pipelines, Delta Lake solutions, and distributed data processing workloads.
- Azure Data Factory (ADF)
Expertise in building ETL/ELT workflows, mapping data flows, and integrating data sources.
- Java & Python
Solid programming knowledge for backend and data
engineering tasks using:
Java Spring Boot
Python (Pandas, PySpark, API development)
Additional Technical Skills (Preferred)
Azure SQL / SQL Server
GitHub & GitHub Copilot
H2O / MLOps pipeline tools
TigerGraph or other graph database technologies Experience with cloud security, CI/CD, and DevOps best practices
