Postuler

Publié il y a 8 mois

Azure Data Engineer

@ Astra North Infoteck Inc.

Toronto, Ontario

Contrat5+ ans d’expérience
Postuler
SIGNAUX

En bref

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.

Responsabilités :

  • 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

Résumé des exigences :

  • 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

Outils et compétences

Source et dates

Type de source non vérifié · zoho

Date publiée par l’employeur
2026-03-04
Première détection par notre source
2026-10-11
Mise à jour du dossier source
2026-10-11

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Expérience5 an(s) et plus
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Astra North Infoteck Inc.

ChampValeur
Offres sur Jobsy426
Description

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


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