Posted 6 days ago
Data Engineer
@ Aarorn Technologies Inc
Toronto, Ontario
Requirements summary:
- Strong hands-on experience with Snowflake and DBT for designing, developing, and maintaining scalable data solutions. (Must Have)
- Ability to collaborate with business and technology teams to translate requirements into scalable data solutions.
- Python programming experience would be an asset. (Nice to Have)
- P&C Insurance domain knowledge is desirable. (Nice to Have)
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-04
- First seen by our source
- 2026-11-10
- Source record updated
- 2026-11-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Aarorn Technologies Inc
| Field | Value |
|---|---|
| Open jobs on Jobsy | 2 |
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.
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