Azure Data Engineer

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!; Toronto; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A leading technology firm is seeking an experienced L4 Engineer to support modern data engineering and application development. This hybrid role requires strong expertise in Azure data services and hands-on experience with technologies like Azure Databricks and Java Spring Boot. Candidates must demonstrate excellent problem-solving skills and coding abilities. The position emphasizes collaboration with cross-functional teams and adherence to best practices in data engineering and analytics solutions.

Qualifications

• 5–10 years of experience in data engineering and application development.
• Strong hands-on expertise in Azure data services.
• Excellent problem-solving skills and strong coding abilities.

Responsibilities

• Design, develop, and optimize data pipelines using Azure services.
• Build scalable data engineering solutions following cloud architecture best practices.
• Develop microservices and APIs using Java Spring Boot and Python.
• Troubleshoot critical production issues and perform root-cause analysis.

Skills

Azure Databricks

ETL/ELT workflows

Java Spring Boot

Python

Tools

GitHub

H2O

Databricks ML

TigerGraph

Job description

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.
• 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.