Data Science/Business Intelligence Sr Advisor
at Enbridge
Calgary, AB, Canada -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 31 Jan, 2025 | Not Specified | 01 Nov, 2024 | 7 year(s) or above | Good communication 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:
Responsibilities:
- Understand strategic imperatives of the business and conducts value assessments to support prioritization of opportunities, including initiatives related to the data analytics portfolio through planning, budgeting, stakeholder engagement, risk/issue management, and status reporting.
- Assist in solutions architecture, data engineering, DevOps and analytics related strategic planning activities.
- Lead data engineering from an operational standpoint and provides expert recommendations for data engineering product design and know-how to address business needs.
- Partner with TIS Functional teams in delivery and sustainment of data analytics product needs
- Using an Agile methodology, organize the work efforts of the Data and Analytics teams to ensure all data engineering products, services, and solution enhancement designs align with enterprise architecture direction and standard methodologies and meet customer requests in a timely manner.
- Implement and provides insight to standards, guidelines, and best practices for the data management program.
- Make decisions on moderately complex to highly complex data issues regarding technical approach for project and operational components within the team’s data and reporting framework.
- Act as a liaison between Data and Analytics team and external analytics service providers, partner with business relationship managers, business users, portfolio architects, functional and product owners, data analysts, solution and data architects, and data scientists to identify and develop data engineering use cases with attention to cloud computing (batch, micro-batch, or stream processing) and storage.
- Provide strategic and expert guidance in development of data engineering models and ensures processes and solution components conform to technical functionality (e.g., preparation of high-quality data, security, performance, scalability, data recovery, and reliability)
REQUIREMENT SUMMARY
Min:7.0Max:12.0 year(s)
Information Technology/IT
IT Software - DBA / Datawarehousing
Software Engineering
Graduate
Proficient
1
Calgary, AB, Canada
