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 up-to-date 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.
- Expertise in building ETL/ELT workflows, mapping data flows, and integrating data sources.
- Solid programming knowledge for backend and data engineering tasks using Java Spring Boot and Python.

Additional Technical Skills (Preferred)

- TigerGraph or other graph database technologies.
- Experience with cloud security, CI/CD, and DevOps best practices.

📌 Azure Data Engineer (Toronto)
🏢 Astra North Infoteck
📍 Toronto