Data Engineer

J&M Group; Mississauga; On-site; CAD 70,000 - 85,000; Full time

Job summary

Une entreprise innovante recherche un Data Engineer pour rejoindre son équipe à Mississauga. Dans ce rôle, vous serez responsable de la conception et de l'optimisation de pipelines de données, utilisant des technologies modernes telles que Databricks et PySpark. Vous collaborerez avec des équipes multidisciplinaires pour transformer des données brutes en renseignements exploitables. Ce poste est idéal pour un professionnel passionné de technologie, prêt à prendre des initiatives et à travailler dans un environnement dynamique.

Qualifications

• Expérience en Python, PySpark et SQL.
• Compréhension des outils de Machine Learning comme MLflow.
• Connaissance des meilleures pratiques CI/CD et déploiement.

Responsibilities

• Concevoir et optimiser des pipelines de données évolutifs.
• Développer des produits de données robustes à partir de sources de données structurées et non structurées.
• Collaborer avec les équipes de science des données pour fournir des aperçus.

Skills

Python

PySpark

SQL

Databricks

Machine Learning

Data Pipeline Optimization

Data Transformation

Distributed Data Processing

Education

Bachelor's Degree in Computer Science or related field

Tools

Snowflake

Airflow

Job description

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Job Overview

We are looking for a highly skilled Product Engineer to design and optimize scalable data pipelines and develop robust data products. This role focuses on leveraging technologies like Databricks, PySpark, and SQL to build high-performance, production-grade data workflows. You'll collaborate with cross-functional teams including data scientists and quant teams to support data-driven decision-making across structured, unstructured, and alternative data sources.

Key Responsibilities

• Design, build, and optimize scalable data pipelines.
• Develop and operationalize data products across structured and unstructured data, including alternative data sources.
• Deploy, manage, and tune Spark workloads on Databricks, ensuring scalability and cost-efficiency.
• Collaborate with data science and business teams to deliver data-driven insights.
• Support CI / CD automation, infrastructure-as-code, and reusable data frameworks.
• Strong experience with Python and PySpark.
• Hands-on expertise with Databricks components: Jobs, Workflows, Delta Lake, Unity Catalog.
• Proficiency in SQL for advanced data transformations.
• Deep understanding of distributed data processing and production-grade data workflows.
• Exposure to Machine Learning tools like MLflow.
• Experience with alternative data (web, geospatial, satellite, sentiment).
• Familiarity with Snowflake, Airflow, or other orchestration / warehousing platforms.
• Understanding of CI / CD, version control, and deployment best practices.

Additional Job Details

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting

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Data Engineer • Mississauga, Peel Region, Canada