Data Engineer

Glint Tech Solutions; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

Glint Tech Solutions is hiring a Data Engineer to join their Total Fund Management Portfolio Management Technology team in Toronto, Ontario. The role involves building and optimizing large-scale cloud data systems using Spark/PySpark and modern storage formats.

Key responsibilities include developing Spark workloads, working with large datasets, and ensuring system performance and reliability. Candidates should have strong Python and PySpark skills, with experience in client-facing delivery.

Qualifications

• Proficiency in Python and PySpark for data engineering tasks.
• Experience with Apache Spark in cloud environments, preferably with Databricks.
• A strong understanding of large-scale data systems and architectures.

Responsibilities

• Develop and optimize Spark workloads in cloud environments.
• Work with large datasets using Parquet and Iceberg.
• Translate requirements into robust engineering solutions.

Skills

Strong Python and PySpark

Hands-on Apache Spark

Databricks experience

Large-scale data systems expertise

Client-facing delivery background

Independent problem-solving

Tools

AWS Glue

Lake Formation

Airflow

Job description

We're hiring a hands-on Data Engineer to join the Total Fund Management Portfolio Management Technology team. The role focuses on building and optimizing large-scale cloud data systems with Spark/PySpark and modern storage formats.

Key Responsibilities

• Develop and optimize Spark workloads in cloud environments
• Work with large datasets using Parquet and Iceberg
• Translate requirements into robust engineering solutions
• Ensure performance, reliability, and maintainability
• Contribute to monitoring, documentation, and deployment

Must Have

• Strong Python and PySpark
• Hands‑on Apache Spark, cloud preferred
• Databricks experience
• Large‑scale data systems expertise
• Client‑facing delivery background
• Independent problem‑solving in ambiguous settings

Nice To Have

• AWS Glue and Lake Formation
• Airflow and orchestration tools
• Distributed data architectures
• Capital markets exposure