Data Implementation Engineer
Offre en anglaisThe Data Implementation Engineer will design, build, and maintain scalable data pipelines using various technologies. They will also implement data architectures and optimize workflows for large financial datasets.
- Hybride
- Toronto, ON
- Publié 14 juill. 2026
- Postuler avant le 10 janv. 2027
- 1 poste
Résumé du poste
Job Title: Data Implementation Engineer Location: Toronto, ON (3x onsite a week) Employment Type: Contract Pay Rate: CAD$50/HR INC Job Description 4+ years of Data Engineering experience Advanced SQL; experience with relational and NoSQL databases Strong experience with Snowflake, Hadoop, Spark, PySpark, Databricks, Azure Proficiency in Python for data engineering Familiarity with orchestration tools and workflow management systems Responsibilities Design, build, and maintain scalable data pipelines using Snowflake, Hadoop, Spark, PySpark, Azure Implement data architectures and optimize workflows for large financial datasets Write high-quality, maintainable Python and SQL code following best practices Integrate data governance, metadata management, and lineage tracking into solutions 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.
Ce que vous ferez
The Data Implementation Engineer will design, build, and maintain scalable data pipelines using various technologies. They will also implement data architectures and optimize workflows for large financial datasets.
Exigences
Candidates should have over 4 years of Data Engineering experience and proficiency in SQL and Python. Familiarity with orchestration tools and experience with Snowflake, Hadoop, and Azure is also required.
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Data Engineering
- SQL
- Relational Databases
- NoSQL Databases
- Snowflake
- Hadoop
- Spark
- PySpark
- Databricks
- Azure
- Python
- Data Governance
- Metadata Management
- Lineage Tracking
- Workflow Management
- Orchestration Tools
Domaines d’emploi
- Technology
- Data & Analytics
- Software
- Engineering
- Consulting
Renseignements supplémentaires
- Expérience minimale
- 5+ ans
- Postuler avant le
- 10 janv. 2027
- 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