Location Address : Toronto- hybrid 1 3 days / per week in the office ( no specific days)
Contract Duration : 6 months with high possibility of extension
Hours : Monday-Friday, 8 : 30AM-5PM (7.5 hours / day)
Business group : Global Analytics Engineering
The business line provides business intelligence support and supporting areas using both repeatable and ad hoc reporting delivery reports (charts, graphs, tables, etc) that enable informed business decisions.
Project : has complex requirements to build insights on Commercial customers across multiple geographies in International Banking.
Establish system information requirements using analysis of information in the development of Data-wide or large-scale information systems.
Candidate Requirements / Must-Have skills :
- 5+ years of experience in Financial Industry and Commercial Banking.
- 8 -10 years of experience in data architecture and data management : Proven track record in designing and implementing data solutions on cloud platforms, particularly with SQL MI and ADF or similar tools.
- 8-10 years of experience with data integration technologies such as QLIK
- Proficiency in integrating data from various sources using APIs, batch file processes, and other ETL tools.
- In-depth knowledge of data governance and security practices : Experience in implementing data governance frameworks and ensuring compliance with industry standards and regulations.
- Fluently in Spanish is mandatory
Nice-To-Have Skills :
Experience with GCP.
Soft Skills :
- You are a creative, self-starting, results-oriented, and highly motivated individual with very good analytical skills that you apply to the resolution of complex problems.
- You possess very good interpersonal and communication skills that you use to effectively work with stakeholders and members of the project team.
- You are a voracious learner who likes to take on new challenges, while simultaneously taking pride in continuous improvement of existing software products, with the goal of providing an outstanding service for our customers.
- You have a knack for deriving insights out of data and applying them to address business opportunities.
- Ability to work independently and as part of a team.
- Strong attention to detail and organizational skills.
- Strong analytical and problem-solving skills.
Best vs. Average Candidate :
The best candidate is someone with Commercial Banking experience and previous roles as Data engineers and Data Governance.
Education :
Bachelor’s Degree in Computer Science, IT, or a related field : Advanced degrees or relevant certifications (e.g., Microsoft Certified : Azure Data Engineer) are a plus.
Candidate Review & Selection
Candidate Review & Selection
Two rounds of interviews
1st round HM 30 mins 45 mins MS Teams Video The first 15 mins is for Introduction, project overview, and what we are looking for, next 15 mins to assess with questions previous experience related to Data Architect.
No coding is required. The manager will ask questions about Data Modelling. No technical assessments are required.
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