Iris’s client, the largest bank in Canada, needs a Senior Data Platform Engineer to enhance their data capabilities. This hybrid role involves expertise in database management and ETL processes.
As a Senior Data Platform Engineer, you will work within a long-term engagement at a major financial institution. Your role will include data modeling, query optimization, and implementing productive ETL pipelines. Familiarity with tools like Apache Airflow and Kafka will be essential to ensure effective data orchestration and security.
Key Responsibilities:
• Perform database administration and optimization with MongoDB
• Design and implement data modeling strategies
• Tune queries for max performance efficiency




• Develop workflows through Apache Airflow and cron jobs
• Monitor production settings for troubleshooting
Requirements:
• Proven experience in database optimization techniques
• Knowledge of event streaming with Apache Kafka
• Familiarity with Redis and ElasticSearch environments
• Understanding of security and backup processes
• Experience with languages like NodeJS, Python, or Rust is advantageous
Bring your skills in data engineering to support a leading bank's next advancements.
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📌 Expert Data Platform Engineer Wanted Toronto (Canada)
🏢 Iris Software
📍 Canada