Posted 6 months ago
Database and Integration Engineer
@ Princeton IT Services, Inc
Toronto, Ontario
Requirements summary:
- The ideal candidate will have strong experience working with cloud platforms, ETL frameworks, APIs, and enterprise database environments.
- Support analytics, reporting, and operational data requirements.
- Required Skills & Experience
- Strong experience with SQL and NoSQL databases.
- Hands-on experience with enterprise ETL frameworks and data pipelines.
- Experience in large-scale data migration projects.
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-05-17
- First seen by our source
- 2026-11-11
- Source record updated
- 2026-11-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Princeton IT Services, Inc
| Field | Value |
|---|---|
| Open jobs on Jobsy | 14 |
Location: Downtown Toronto, ON
Employment Type: Full-Time / Contract
Job Overview
We are seeking a skilled Database & Integration Engineer to support enterprise data migration, integration, and modernization initiatives while ensuring data integrity, scalability, and high system performance. The ideal candidate will have strong experience working with cloud platforms, ETL frameworks, APIs, and enterprise database environments.
Key Responsibilities
- Design, develop, and maintain enterprise data integration solutions.
- Support ETL development and enterprise data migration projects.
- Work with SQL and NoSQL databases across multiple platforms.
- Ensure data integrity and consistency during modernization and cloud migration initiatives.
- Develop scalable integration frameworks and APIs.
- Collaborate with cloud, infrastructure, and application development teams.
- Support analytics, reporting, and operational data requirements.
- Work within Azure and GCP cloud environments to support enterprise integration needs.
- Strong experience with SQL and NoSQL databases.
- Hands-on experience with enterprise ETL frameworks and data pipelines.
- Experience in large-scale data migration projects.
- Cloud integration experience with Azure and GCP platforms.
- Experience with API integration and enterprise integration frameworks.
- Strong understanding of data integrity, governance, and best practices.
- Excellent analytical and troubleshooting skills.
- Strong communication and collaboration abilities.
- Experience working in enterprise modernization initiatives.
- Knowledge of cloud-native integration tools and services.
- Familiarity with data warehousing and analytics platforms.
- Experience working in Agile environments.
Journal
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