Data Engineer

Aarorn Technologies Inc; Toronto; Presencial; CAD 52.000 - 72.000; Jornada completa

Descripción de la vacante

Aarorn Technologies Inc is seeking a Data Engineer for an onsite contract role in Toronto, ON. The candidate will design, develop, and maintain scalable data solutions using Snowflake and DBT, optimize SQL workflows, and ensure data quality across ingestion, transformation, and storage layers.

Experience in ETL/ELT, data modeling, and collaboration with cross-functional teams is required. Python is a plus, as is knowledge of P&C Insurance domain as a desirable asset.

Formación

• Must have hands-on experience with Snowflake and DBT for designing, developing, and maintaining scalable data solutions.
• Proficient in SQL for complex data extraction, transformation, validation, and performance optimization.
• Solid understanding of ETL/ELT concepts, data integration, and data quality processes.

Responsabilidades

• Design and develop scalable data solutions using Snowflake and DBT.
• Collaborate with business and technology teams to translate requirements into data solutions.
• Focus on data accuracy, reliability, and performance through analytics and testing.

Conocimientos

Snowflake

DBT

SQL

ETL/ELT

Data integration

Data quality

Python

Data modeling

Descripción del empleo

Job Title: Data Engineer

Location: Toronto, ON (4x onsite a week)

Employment Type: Contract

Pay Rate: CAD$45/HR INC

Interview Type: Face 2 Face (Onsite Interview Only)

Job Description

• Strong hands-on experience with Snowflake and DBT for designing, developing, and maintaining scalable data solutions. (Must Have)
• Proficient in SQL for complex data extraction, transformation, validation, and performance optimization.
• Solid understanding of ETL/ELT concepts, data integration, and data quality processes.
• Ability to collaborate with business and technology teams to translate requirements into scalable data solutions.
• Strong analytical and problem-solving skills with a focus on data accuracy, reliability, and performance.
• Python programming experience would be an asset. (Nice to Have)
• P&C Insurance domain knowledge is desirable. (Nice to Have)
• Understanding of end-to-end data architecture, including data ingestion, transformation, storage, governance, and consumption layers, is preferred.
• Exposure to data modeling, data warehousing, and reporting/analytics ecosystems is beneficial.

Disclaimer: AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.