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 productive SQL queries for data reporting
Requirements:
• Minimum 8 years of software development
• Robust 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.
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📌 Big Data Engineer For Financial Services Toronto (Canada)
🏢 Iris Software
📍 Canada