Data Engineer Bi Sénior H/F
4 weeks ago
To design and implement data solutions on cloud platforms with one of our major banking clients - 35586.
Location: Downtown Toronto (hybrid – 1-3 days/week in the office)
Contract Duration: 6 months (possibility of extension or conversion to FTE)
Hours: Monday-Friday, 8:30 AM - 5 PM (7.5 hours/day)
Story Behind the Need:
- Business group: Global Analytics Engineering provides business intelligence support using both repeatable and ad hoc reporting delivery.
- Project: Build insights on Commercial customers across multiple geographies in International Banking.
Typical Day in Role:
- Develop and maintain the overall data architecture for the cloud-based platform.
- Lead the integration of diverse data sources using Replication tools, APIs, and batch file processes.
- Monitor and optimize data performance on cloud and other components.
- Establish and enforce data governance policies and security measures.
- Collaborate with analysts and stakeholders to translate data requirements into technical solutions.
- Create and maintain documentation of data architecture and integration processes.
- Provide expert-level support for data-related issues.
- Stay updated on industry trends and seek opportunities to enhance data architecture.
Must-Have Skills:
- 5+ years of experience in Financial Industry and Commercial Banking.
- 8-10 years of experience in data architecture and management.
- Proven track record in designing and implementing data solutions on cloud platforms.
- Experience with data integration technologies such as QLIK.
- Knowledge of data governance and security practices.
- Fluency in Spanish is mandatory.
Nice-To-Have Skills:
- Experience with GCP.
Best vs. Average Candidate:
- The best candidate has Commercial Banking experience and roles as Data engineers and Data Governance.
Education:
- Bachelor’s Degree in Computer Science, IT, or a related field; Advanced degrees or relevant certifications are a plus.
Interview Process:
- 1st round – HM – 30-45 mins – MS Teams Video – Introduction and project overview, followed by questions on previous experience related to Data Architect.
- 2nd round – Director – 30 mins – MS Teams Video – Behavioral questions.
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