Senior Data Engineer
at Guidepoint
Toronto, ON, Canada -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 19 Jul, 2024 | Not Specified | 19 Apr, 2024 | 1 year(s) or above | Salesforce,Python,Processing,Spark,Data Architecture,Cosmos,Communication Skills,Global Teams,Software Solutions,Ml,Netsuite,Neo4J,Sql Server,Data Warehousing,Databases,Business Applications,Data Engineering,Leadership Skills | No | No |
Required Visa Status:
| Citizen | GC |
| US Citizen | Student Visa |
| H1B | CPT |
| OPT | H4 Spouse of H1B |
| GC Green Card |
Employment Type:
| Full Time | Part Time |
| Permanent | Independent - 1099 |
| Contract – W2 | C2H Independent |
| C2H W2 | Contract – Corp 2 Corp |
| Contract to Hire – Corp 2 Corp |
Description:
MORE ABOUT GUIDEPOINT’S TECHNOLOGY TEAM:
Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.
PREFERRED QUALIFICATIONS✔️:
- Knowledge of BI Tools like PowerBI, Tableau etc.
- Experience building Azure Data Factory pipelines.
- Experience building and deploying ML and feature engineering pipelines to production using MLFlow.
- Experience with building data pipeline from various business applications like Salesforce, NetSuite, etc.
- Knowledge of message queuing, stream processing, and highly scalable data stores.
- Experience or knowledge of working in a compliance-based environment, including building and deploying compliant software solutions throughout the software life cycle is a nice to have.
- Familiarity with cloud-based AI/ML services and Generative AI tools.
Responsibilities:
Guidepoint seeks an experienced Data Engineer as an integral member of the Toronto-based Data/AI team. The Toronto Technology Hub will serve as the base of our new Data/AI team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products.
This role demands proven technical prowess with Lakehouse architecture to drive the development of next-generation research enablement platforms and advanced data products leveraging AI/ML technologies. The Lead Data Engineer will implement Guidepoint’s cloud data infrastructure that will advance BI, Analytics and AI/ML use cases across the organization.
REQUIREMENT SUMMARY
Min:1.0Max:5.0 year(s)
Information Technology/IT
IT Software - DBA / Datawarehousing
Software Engineering
Graduate
Proficient
1
Toronto, ON, Canada
