Iris's client is recruiting a Big Data Engineer to work in Toronto's hybrid setting. Leverage your skills in Spark, SQL, and Hive to create scalable data solutions for a global corporation. In this role, you will work with a leading multinational investment bank known for its financial products and services.

With 8+ years in software development, you will focus on building and maintaining high-performance data applications, while collaborating with cross-functional teams. Your expertise in Hadoop and data engineering will be indispensable. Key Responsibilities:

- Develop and maintain applications using Spark and Scala
- Optimize data engineering workflows and ETL processes
- Write and manage Hive queries for data models
- Utilize HDFS, YARN, and Hadoop components
- Create efficient SQL queries for data reporting

Requirements:

- Minimum 8 years of software development
- Solid hands‑on experience with Spark
- Proficient in Hive and large-scale data frameworks
- In-depth knowledge of Hadoop ecosystem
- Advanced SQL and database optimization skills

Bring your analytical skills and data processing knowledge to this challenging role in financial services.

📌 Big Data Engineer for Financial Services (Toronto)
🏢 Iris Software
📍 Toronto