Hybrid Data Engineer Tech Lead in Toronto
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Summary
Iris Software is hiring a Data Engineer Tech Lead to work in a hybrid model with a Fortune 100 insurance client in Toronto/Mississauga. The role leads data engineering efforts: designing data warehouses, building SQL/Python solutions on Snowflake with dbt, and orchestrating workflows with Airflow while collaborating with architects, analysts, and business stakeholders.
Lead data engineering efforts in a hybrid model with a Fortune 100 client in Toronto, Mississauga, ON. Drive SQL and Python projects while collaborating with cross-functional teams.
Iris's direct client is seeking a Data Engineer Tech Lead with expertise in the insurance domain. This role requires 5-8 years of experience with SQL, Python, and cloud data platforms, specifically Snowflake. You will interface with Data Architects, Analysts, and business stakeholders, emphasizing problem-solving and effective communication.
Key Responsibilities: • Design data warehouses with effective data modeling • Develop stored procedures and use dbt for workflows • Orchestrate data workflows using Airflow or similar tools • Analyze data-related issues with strong analytical skills • Collaborate across functions to fulfill large program requirements
Requirements: • 5-8 years of experience in SQL and Python • Proficiency in Snowflake and cloud data platforms • Experience in data warehouse design and data modeling • Strong communication and collaboration skills • Background in the insurance domain preferred
Elevate your career in data engineering while leading innovative solutions in Toronto's insurance sector.
Iris's direct client is seeking a Data Engineer Tech Lead with expertise in the insurance domain. This role requires 5-8 years of experience with SQL, Python, and cloud data platforms, specifically Snowflake. You will interface with Data Architects, Analysts, and business stakeholders, emphasizing problem-solving and effective communication.
Key Responsibilities: • Design data warehouses with effective data modeling • Develop stored procedures and use dbt for workflows • Orchestrate data workflows using Airflow or similar tools • Analyze data-related issues with strong analytical skills • Collaborate across functions to fulfill large program requirements
Requirements: • 5-8 years of experience in SQL and Python • Proficiency in Snowflake and cloud data platforms • Experience in data warehouse design and data modeling • Strong communication and collaboration skills • Background in the insurance domain preferred
Elevate your career in data engineering while leading innovative solutions in Toronto's insurance sector.