Senior Data Specialist
Offre en anglaisThe role focuses on building and enhancing data pipelines and developing business-ready datasets for pricing and actuarial teams. It involves productionizing a critical solution and supporting the migration from Synapse to Databricks.
- Sur place
- Canada
- Publié 5 août 2026
- 1 poste
Résumé du poste
Required Skills & Experience • 5+ years of experience of hands-on data engineering and development • Designing and implementing silver-to-gold pipelines in Databricks • Developing complex business transformations using PySpark, Python, and SQL • Experience validating the data - building metrics, how to approach reconciliation, etc. Nice to Have Skills & Experience • Insurance experience Job Description Insight Global is looking for a Senior Data Integration Specialist for one of Canada's leading insurance companies. This individual will join a team supporting a strategic data modernization initiative focused on delivering reliable, analytics-ready data to pricing and actuarial teams. The role is highly hands-on and centered around building and enhancing data pipelines, developing business-ready datasets, validating and reconciling data, and troubleshooting complex integration challenges. This is an opportunity to play a key role in productionizing a critical solution while contributing to the organization's migration from Synapse to Databricks.
Ce que vous ferez
The role focuses on building and enhancing data pipelines and developing business-ready datasets for pricing and actuarial teams. It involves productionizing a critical solution and supporting the migration from Synapse to Databricks.
Exigences
Candidates need over 5 years of hands-on data engineering experience, specifically with PySpark, Python, and SQL. Proficiency in designing silver-to-gold pipelines in Databricks and validating data metrics is required.
Compétences indiquées
- SQLSouhaitée
- PythonSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Data Engineering
- Databricks
- PySpark
- Python
- SQL
- Data Validation
- Data Reconciliation
- Data Pipelines
- Insurance Industry Knowledge
Domaines d’emploi
- Data & Analytics
- Technology
- Consulting
- Software
- Engineering
Renseignements supplémentaires
- Expérience minimale
- 5+ ans
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Associate
- Mode de candidature
- La candidature directe est offerte