Posted 8 months ago
Azure Data Engineer
@ Astra North Infoteck Inc.
Toronto, Ontario
Overview
Astra North Infoteck Inc. is hiring a contract L4 Engineer in Toronto, hybrid with 2-3 onsite days per week, for 5-10 years of experience. The role builds Azure data pipelines with Databricks and Data Factory, backend services in Java and Python, and MLOps and graph-data workflows.
Responsibilities:
- Design and optimize data pipelines on Azure Databricks and Azure Data Factory
- Build microservices and APIs with Java Spring Boot and Python
- Implement MLOps workflows using H2O or Databricks ML
- Troubleshoot production issues and perform root-cause analysis
- Collaborate with data engineers, architects and data scientists
Requirements summary:
- 5-10 years of experience
- Strong Azure Databricks experience with Delta Lake
- Expertise in Azure Data Factory ETL/ELT
- Solid Java and Python programming skills
- Preferred: Azure SQL, GitHub Copilot, MLOps, TigerGraph
Tools & skills
Source and dates
Source type not verified · zoho
- Employer posting date
- 2026-03-04
- First seen by our source
- 2026-10-11
- Source record updated
- 2026-10-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 5+ years |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Astra North Infoteck Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 426 |
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
Journal
Only you can see this. Kept on this device, and in your account when you sign in.