Publié avant-hier
Data Engineer – Snowflake & dbt
@ Axiom Global Technologies
Toronto, Ontario
Résumé des exigences :
- Experience: 5+ Years
- Interview Process: Face-to-Face (F2F) Interview Required
- The ideal candidate will have strong SQL and ETL/ELT skills, with the ability to build reliable data pipelines and collaborate with business and technology teams.
- Design, develop, and maintain scalable data solutions using Snowflake and dbt. (Must Have)
- Apply strong knowledge of ETL/ELT processes, data integration, and data quality management.
- Translate business and technical requirements into scalable and reliable data solutions.
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-11
- Première détection par notre source
- 2026-11-14
- Mise à jour du dossier source
- 2026-11-14
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Axiom Global Technologies
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 2 |
Data Engineer – Snowflake & dbt
Location: Toronto, Canada (Onsite)
Experience: 5+ Years
Interview Process: Face-to-Face (F2F) Interview Required
Job Overview
We are seeking an experienced Data Engineer with strong hands-on expertise in Snowflake and dbt to design, develop, and maintain scalable, high-performance data solutions. The ideal candidate will have strong SQL and ETL/ELT skills, with the ability to build reliable data pipelines and collaborate with business and technology teams.
Key Responsibilities & Skills
- Design, develop, and maintain scalable data solutions using Snowflake and dbt. (Must Have)
- Write and optimize complex SQL queries for data extraction, transformation, validation, and performance tuning.
- Apply strong knowledge of ETL/ELT processes, data integration, and data quality management.
- Translate business and technical requirements into scalable and reliable data solutions.
- Ensure data accuracy, consistency, reliability, and performance across data pipelines.
- Understand end-to-end data architecture, including data ingestion, transformation, storage, governance, and consumption.
- Work with data modeling, data warehousing, and reporting/analytics ecosystems.
Nice-to-Have Skills
- Python programming experience.
- Prior experience in the Property & Casualty (P&C) Insurance domain.
- Exposure to data governance, data modeling, and enterprise data architecture.
Important: This is a fully onsite position in Toronto, Canada, and candidates must be available for a face-to-face interview.
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