Interview Type: Face 2 Face (Onsite Interview Only)
Job Description
- Solid 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.
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📌 Data Engineer (Toronto)
🏢 Aarorn Technologies
📍 Toronto
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