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 effective 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.
📌 Lead Data Engineer in Insurance (Mississauga)
🏢 Iris Software
📍 Mississauga
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