A on-site Data & ML role at BMO.
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Original listing text, shown exactly as published by the company.
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5 - 7 years of relevant experience and IT education and/or certification(s)
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Hands on experience with ETL/ELT development/testing and data warehousing concepts
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Hands on experience with SQL, NoSQL, Python, Spark, Scala
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Experience with SSIS, Glue, cloud storage and computing services (e.g. AWS, Azure), Hadoop, Netezza
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Experience with structured, semi structured and unstructured datasets in batch and streaming
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Experience with data analysis, data mapping and data profiling
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Experience with AI concepts, GenAI, prompt engineering, retrieval-augmented generation (RAG), AI-powered tools in SDLC etc...
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Experience in Agile delivery, including usage of JIRA
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Experience in large enterprise setting
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Experience interacting with senior leaders
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Experience working in highly regulated industries
$75,900.00 - $141,900.00
Salaried
The above represents BMO Financial Group’s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.
BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonus
es, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
BMO
Data & ML
133 open roles on Sydicom
BMO is a leading financial services provider. The company offers a broad range of banking, wealth management, and capital markets products and services to individuals, businesses, and institutions. It is recognized as one of Canada's largest banks.
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