Step into a pivotal role as a Lead Data Engineer with Iris Software, focusing on the insurance sector. Leverage your SQL and Python skills for productive data processing and analytics.
Iris’s Fortune 100 client seeks a Lead Data Engineer with 5-8 years of expertise in data engineering, primarily within the insurance domain. Candidates will design scalable ETL/ELT pipelines and optimize cloud-based platforms like Snowflake. Your role will directly impact data integration and analytics initiatives, enhancing business operations.
Key Responsibilities:
• Design and maintain scalable ETL/ELT pipelines
• Develop optimized Stored Procedures and dbt models
• Utilize cloud platforms like Snowflake for data processing
• Collaborate with Data Architects and Business Analysts
• Perform data quality validation and troubleshooting
Requirements:
• 5-8 years of Data Engineering experience
• Strong expertise in SQL and Python
• Knowledge of insurance data and business processes
• Hands-on experience with workflow orchestration tools
• Excellent communication skills for cross-functional collaboration
Drive impactful data solutions with Iris Software and make a difference in the insurance industry.
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📌 Lead Data Engineer in Insurance (Ontario)
🏢 Iris Software
📍 Ontario
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