Senior Data Engineer

4 days ago

Old Toronto, Canada Huntel Global Inc. Full time

Title: Senior Data Engineer

Location: Toronto, ON, Canada (Hybrid)

Type: Full-Time, Permanent

Introduction:

Join a rock-solid organization as our client’s next Senior Data Engineer and sit at the center of projects that drives decisions. You’ll help one of Canada's most trusted organizations work on the latest project, and be rewarded with great opportunities.

Job Description:

  • Building and maintaining software components of our client's data infrastructure, supporting AI/ML initiatives and analytics across the organization.
  • Implementing data pipelines, APIs, and services to collect, process, transform, and deliver data for AI workloads, working closely with senior engineers for architectural guidance.
  • Collaborating with software engineers to ensure data quality, reliability, and accessibility across our data-driven applications.
  • Developing data-driven software features to support feature engineering, model training, and the deployment of AI/ML models.
  • Implementing monitoring, testing, and CI/CD practices to support reliable and scalable data-centric systems.
  • Optimizing data storage and retrieval solutions (e.g., data warehouses, data lakes, NoSQL databases) for both analytics and AI workloads, with mentorship from senior engineers.
  • Applying and refining software engineering skills (e.g., design patterns, code review, testing, documentation) throughout the data platform development lifecycle.

Must Haves:

  • 8+ years of experience building data pipelines, data processing systems, and/ or APIs, even at a smaller scale.
  • 5+ years of hands-on software development experience, demonstrating a strong interest in data-centric applications.
  • Understanding of cloud-based data platforms, distributed systems, and containerization concepts.
  • Solid software engineering skills in Python, Java, or a similar language, with a willingness to learn and grow best practices.
  • Proficiency in back-end development frameworks (e.g., Django, Flask, Node.js, Spring).
  • Strong SQL skills and experience with relational databases.
  • Knowledge of version control (Git) and foundational CI/CD concepts.
  • Familiarity with NoSQL is a plus.
  • Data visualization experience is a plus.
  • Basic understanding of big data technologies (e.g., Spark, Hadoop, Kafka) is desirable.
  • Exposure to common ML libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) is a plus.

We are an equal opportunity employer.

We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics.

Apply now—we look forward to meeting you

#J-18808-Ljbffr

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