Data Engineer at BMO

Ontario, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

30 Dec, 26

Salary

50000.0

Posted On

01 Oct, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Consumer Services

Description

What Will You Do

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
Technical designs and ensure alignment with standards and roadmaps
Identify, track, and perform regression testing on defects found
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

What Do You Need To Succeed

Must have

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 etc...
Experience in Agile delivery, including usage of JIRA

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Responsibilities

What Will You Do

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
Technical designs and ensure alignment with standards and roadmaps
Identify, track, and perform regression testing on defects found
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

What Do You Need To Succeed

Must have

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 etc...
Experience in Agile delivery, including usage of JIRA