Lead cloud-native data solutions as a Manager, Data Engineer at a premier firm in Toronto, Ontario. Leverage big data technologies, drive scalability, and ensure performance in this hybrid role.

This long-term contract is tailored for a skilled Manager, Data Engineer focused on designing optimized data platforms. You will need significant experience with Python, PySpark, and Apache Spark in a cloud setting. Your role will encompass collaboration with cross-functional teams including investment, risk, and operations to translate requirements into effective engineering solutions.

Key Responsibilities:



• Develop and optimize Spark-based cloud workloads • Design scalable data pipelines using Python and PySpark • Work with large-scale datasets in Parquet and Iceberg formats • Collaborate with stakeholders for robust engineering solutions • Ensure performance and reliability of data platforms

Requirements: • Robust hands-on experience with Python and PySpark • Extensive experience with Apache Spark in the cloud • Proficiency in Databricks and AWS data services • Understanding of distributed data processing structures • Proven track record of independent project delivery

Utilize your analytical and technical skills for impactful data engineering in Toronto.

📌 Hybrid Data Engineering Manager Toronto (Winnipeg)
🏢 Socket.dev
📍 Winnipeg