Azure Data Engineer
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
1. Azure Databricks (Primary Skill)
Strong experience building notebooks, pipelines, Delta
Lake solutions, and distributed data processing workloads.
2. Azure Data Factory (ADF)
Expertise in building ETL/ELT workflows, mapping data
flows, and integrating data sources.
3. 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