
Banking • Finance • Fintech
BMO U. S. is a diversified financial services company operating in the United States. It offers a broad range of financial products and services including personal and business banking, mortgage services, investments, financial planning, insurance, and wealth management. Additionally, it provides commercial loans, commercial mortgages, and other financial solutions tailored for small businesses and large enterprises. The company places a strong emphasis on customer service and offers digital and cross-border banking solutions to meet the needs of diverse clients. BMO U. S. is also involved in asset management and capital markets operations, making it a full-service financial institution.
3 hours ago
🌵 Arizona – Remote
🏄 California – Remote
+3 more states
💵 $81.4k - $151.8k / year
⏰ Full Time
🟠 Senior
☁️ Cloud Engineer

Banking • Finance • Fintech
BMO U. S. is a diversified financial services company operating in the United States. It offers a broad range of financial products and services including personal and business banking, mortgage services, investments, financial planning, insurance, and wealth management. Additionally, it provides commercial loans, commercial mortgages, and other financial solutions tailored for small businesses and large enterprises. The company places a strong emphasis on customer service and offers digital and cross-border banking solutions to meet the needs of diverse clients. BMO U. S. is also involved in asset management and capital markets operations, making it a full-service financial institution.
• Lead in the planning, design, development, testing, implementation, documentation, and support of data and AI products • Partner with business stakeholders in translating business requirements (functional and non-functional) 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 our delivery and deployment capabilities • Accelerate development by building frameworks, automation scripts, and reusable code • Strengthen development capability via mentoring, knowledge sharing, and building communities of practice
• Must have 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, retrieval-augmented generation (RAG), AI-powered tools in SDLC etc • Experience in Agile delivery, including usage of JIRA
• Health insurance • Tuition reimbursement • Accident and life insurance • Retirement savings plans
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