Senior Cloud Engineer, Data & AI Innovator
BMO Financial Group
Toronto
On-site
CAD 75,000 - 142,000
Full time
11 days ago
Job summary
A leading financial institution in Toronto is seeking a Senior Cloud Engineer specializing in Data & AI. The successful candidate will lead product development, collaborate with stakeholders, and require 5–7 years of relevant experience including ETL, cloud services, and AI concepts. A strong understanding of structured and unstructured datasets is essential for this role, which offers a competitive salary and benefits package.
Benefits
Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans
Qualifications
- 5 - 7 years of relevant experience and IT education and/or certification(s).
- Hands-on experience with ETL/ELT development/testing and data warehousing concepts.
- Hands-on experience with SQL, NoSQL, Python, Spark, Scala.
- Experience with SSIS, Glue, cloud storage and computing services (e.g. AWS, Azure), Hadoop, Netezza.
- Experience with structured, semi-structured, and unstructured datasets in batch and streaming.
- Experience with data analysis, data mapping, and data profiling.
- Experience with AI concepts, GenAI, prompt engineering, and retrieval-augmented generation.
Responsibilities
- Lead in the planning, design, development, testing, implementation, documentation, and support of data and AI products.
- Partner with business stakeholders in translating business requirements into data and AI products.
- Provide direction on technical designs and ensure alignment with standards and roadmaps.
- Identify, track, and perform regression testing on defects found.
- Lead process improvement opportunities to improve delivery capabilities.
Skills
ETL/ELT development/testing
Data warehousing concepts
SQL
NoSQL
Python
Spark
Scala
SSIS
Glue
AWS
Azure
Hadoop
Netezza
Data analysis
AI concepts
Agile delivery
JIRA
Education
IT education and/or certification(s)
A leading financial institution in Toronto is seeking a Senior Cloud Engineer specializing in Data & AI. The successful candidate will lead product development, collaborate with stakeholders, and require 5–7 years of relevant experience including ETL, cloud services, and AI concepts. A strong understanding of structured and unstructured datasets is essential for this role, which offers a competitive salary and benefits package.