S.i. Systems

Data Engineer to build and optimize large-scale data processing systems using Apache Spark and PySpark with client in investment management indsutry

📍 Location

Toronto, Ontario

⏰ Job Type

Contract

📅 Posted

June 04, 2026

Job Description

Hours: 37.5
Contract: 6 months + possibility of extension 
Work Model: 3-4 days onsite a week 
Must Haves
Strong Python with PySpark for building data solutions
Hands-on experience with Apache Spark in cloud-native environments
Expertise working with large-scale data systems and modern formats such as Parquet and Iceberg
Experience using Databricks for development and optimization
Nice to Have
Experience with AWS data services such as Glue or Lake Formation
Knowledge of workflow orchestration tools like Airflow
Background in distributed data processing architectures
Exposure to capital markets or financial data environments
Responsibilities
Develop and optimize Spark-based workloads in a cloud setting
Work with large-scale datasets using efficient storage and table formats
Collaborate with stakeholders to ...
        

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