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About the Role
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights to drive desired business outcomes and value. DAT Engineering collaborates with multiple groups across the bank to deliver hundreds of initiatives every year, helping partners solve problems and make smarter data-driven decisions. This diverse organization offers exciting opportunities to apply unique skills to solve complex business problems for those who love data, complex challenges, cutting-edge technologies, and learning.
Responsibilities
- Planning, design, development, testing, implementation, documentation, and support of data and AI products
- Partner with business stakeholders to translate business requirements into data and AI products
- Develop technical designs and ensure alignment with standards and roadmaps
- Identify, track, and perform regression testing on defects
- Identify process improvement opportunities to enhance delivery and deployment capabilities
- Accelerate development by building frameworks, automation scripts, and reusable code
- Strengthen development capability through mentoring, knowledge sharing, and building communities of practice
Requirements
- 2 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, retrieval-augmented generation (RAG), AI-powered tools in SDLC
- Experience in Agile delivery, including usage of JIRA
- Experience in a large enterprise setting
- Experience interacting with senior leaders
- Experience working in highly regulated industries
Skills
- ETL/ELT development/testing
- Data warehousing concepts
- SQL
- NoSQL
- Python
- Spark
- Scala
- SSIS
- Glue
- Cloud storage and computing services (AWS, Azure)
- Hadoop
- Netezza
- Data analysis
- Data mapping
- Data profiling
- AI concepts
- GenAI
- Prompt engineering
- Retrieval-augmented generation (RAG)
- AI-powered tools in SDLC
- Agile delivery
- JIRA
Location
- 4100 Gordon Baker Road
Work Type
- Salaried
Experience Level
- 2 years of relevant experience
Education Level
- IT education and/or certification(s)
Salary/Compensations
- $55,500.00 - $120,000.00
Benefits
- Health insurance
- Tuition reimbursement
- Accident and life insurance
- Retirement savings plans
About the Company
- At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
- As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.
- To find out more visit us at https://jobs.bmo.com/ca/en.
Equal Opportunity
- BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.