Data Engineer - AI & Data Platforms (Hybrid)

BMO; Toronto; Hybrid; CAD 62,000 - 114,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plans

Job summary

BMO is seeking a Data & AI Technology (DAT) Engineering professional in Toronto to contribute to data and AI products, from design through testing and deployment. You will collaborate with stakeholders to translate requirements into data solutions, build reusable code and automation, and support production issues.

Requirements include 2–5 years in IT, experience with ETL/ELT, SQL, NoSQL, Python, Spark, Scala, and cloud services (AWS/Azure).

Qualifications

• 2–5 years of IT experience and related education/certifications.
• Hands-on ETL/ELT development and data warehousing concepts.
• Experience with SQL, NoSQL, Python, Spark/PySpark, and Scala.
• Experience with SSIS, Glue, cloud storage and computing services (AWS/Azure), Hadoop, and Netezza.
• Experience with structured, semi structured and unstructured datasets in batch and streaming.
• Experience with data analysis, data modeling, data mapping and data profiling.

Responsibilities

• Contribute to 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
• Contribute input on technical designs and ensure alignment with standards and roadmaps
• Accelerate development by building frameworks, automation scripts, and reusable code
• Identify, track, and perform regression testing on defects found
• Support production issues, including completion of root-cause analysis
• Participate in process improvement opportunities to improve delivery and deployment capabilities

Skills

ETL/ELT development

SQL

NoSQL

Python

Spark/PySpark

Scala

SSIS

Glue

Cloud services (AWS/Azure)

Hadoop

Netezza

Data analysis

Data modeling

Data mapping

Data profiling

Agile / JIRA

Tools

SSIS

Glue

Cloud services (AWS/Azure)

Hadoop

Netezza

Spark

PySpark

Job description

BMO is seeking a Data & AI Technology (DAT) Engineering professional in Toronto to contribute to data and AI products, from design through testing and deployment. You will collaborate with stakeholders to translate requirements into data solutions, build reusable code and automation, and support production issues.

Requirements include 2–5 years in IT, experience with ETL/ELT, SQL, NoSQL, Python, Spark, Scala, and cloud services (AWS/Azure).