Senior Data Engineer - Snowflake & DBT Cloud
Offre en anglaisDeliver high-impact data projects from inception through warranty using Snowflake and AWS technologies. Identify and address gaps in data designs and processes while collaborating with internal and external stakeholders.
- Hybride
- Markham, ON
- Publié 1 sept. 2026
- Postuler avant le 1 oct. 2026
- 1 poste
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Résumé du poste
Role Senior Data Engineer Experience - 10+ Years Location Canada Client location Markham Office Working model Hybrid 3 days Work From Office 2 days mandatory Tue Wed 1 day flexible any day from Mon Thu Fri Primary Skills Extensive Experience 10 years of professional experience delivering over 10 high-impact data projects from inception through warranty 5 years of Snowflake, dbt Core, Cloud, and AWS Cloud Technologies 5 years of experience with coding in multiple programming languages such as Python and Java Deep knowledge of relational databases Snowflake PostgreSQL Amazon Aurora Skilled in tools such as Snowsight Streamlit Proficiency in SQL Python Shell and Terraform with a strong focus on performance reusability and maintainability Presentation Communication Strong technical and business presentation skills able to identify and address gaps in data designs and processes with both internal and external stakeholders Pipeline Orchestration Tools Handson experience with orchestration tools like Zena and AWS Managed Airflow Resilience Adaptability Proven ability to thrive in fastpaced ambiguous and highpressure environments Required Certifications having 2 Or More Is An Asset SnowPRO Core SnowPRO Advanced Data Engineer DEAC01 DEAC02 SnowPro Advanced Architect ARAC01 Qlik SAP BusinessObjects to communicate insights effectively AWS Cloud Practitioner Mandatory Skills : Snowflake AI/ML, Snowflake-Data Science “We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.”
Ce que vous ferez
Deliver high-impact data projects from inception through warranty using Snowflake and AWS technologies. Identify and address gaps in data designs and processes while collaborating with internal and external stakeholders.
Exigences
Requires over 10 years of professional experience, including 5 years with Snowflake, dbt, and AWS. Proficiency in Python, Java, SQL, and orchestration tools like Airflow is essential.
Compétences indiquées
- SQLSouhaitée
- PostgreSQLSouhaitée
- Amazon Web ServicesSouhaitée
- JavaSouhaitée
- TerraformSouhaitée
- PythonSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Snowflake
- DBT Core
- DBT Cloud
- AWS
- Python
- Java
- SQL
- PostgreSQL
- Amazon Aurora
- Snowsight
- Streamlit
- Terraform
- Zena
- AWS Managed Airflow
- Snowflake AI/ML
- Data Science
Domaines d’emploi
- Data & Analytics
- Technology
- Software
- Engineering
- Consulting
Renseignements supplémentaires
- Expérience minimale
- 10+ ans
- Postuler avant le
- 1 oct. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Présence au bureau
- 3 jours par semaine
- Niveau d’expérience
- Mid-Senior level
- Mode de candidature
- La candidature directe est offerte