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 effective 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