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Netezza Developer Jobs in Ontario (NOW HIRING)

Data Engineer

Toronto, ON · On-site

CA$61K - CA$113K/yr

DAT Engineering collaborates with multiple groups across the bank deliver hundreds of initiatives ... AWS, Azure), Hadoop, Netezza * Experience with structured, semi structured and unstructured ...

Data Engineer

Toronto, ON · Hybrid

CA$61K - CA$113K/yr

DAT Engineering collaborates with multiple groups across the bank deliver hundreds of initiatives ... AWS, Azure), Hadoop, Netezza * Experience with structured, semi structured and unstructured ...

Senior Data Engineer

Toronto, ON · On-site

CA$75K - CA$141K/yr

DAT Engineering collaborates with multiple groups across the bank deliver hundreds of initiatives ... AWS, Azure), Hadoop, Netezza * Experience with structured, semi structured and unstructured ...

Data Engineer

Toronto, ON · Hybrid

CA$61K - CA$113K/yr

DAT Engineering collaborates with multiple groups across the bank deliver hundreds of initiatives ... AWS, Azure), Hadoop, Netezza * Experience with structured, semi structured and unstructured ...

Netezza Developer information

What is a Netezza developer?

Netezza Developers are IT professionals who specialize in working with IBM Netezza, a high-performance data warehouse appliance. They are responsible for designing, developing, and optimizing data models, ETL processes, and SQL queries within Netezza environments. Their work ensures efficient data storage, retrieval, and analysis to support business intelligence and analytics initiatives. Netezza Developers often collaborate with data architects, analysts, and other stakeholders to deliver scalable data solutions. They also troubleshoot performance issues and ensure the security and integrity of data.

What are the key skills and qualifications needed to thrive as a Netezza developer?

To thrive as a Netezza Developer, you need expertise in SQL, data warehousing concepts, and experience with IBM Netezza or similar data appliance platforms, often supported by a degree in computer science or related fields. Proficiency with Netezza-specific tools, ETL processes, and knowledge of performance tuning and scripting languages such as Shell or Python are typically required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and address complex data issues efficiently. These skills ensure optimized database solutions, seamless data integration, and reliable analytics within enterprise environments.

What are some common challenges faced by Netezza developers when optimizing large-scale data queries?

Netezza Developers often encounter challenges related to query performance, especially when handling large volumes of data. Common issues include inefficient SQL queries, improper distribution keys, and suboptimal use of Netezza-specific features like zone maps. Troubleshooting these challenges typically involves analyzing query plans, adjusting table structures, and collaborating closely with data architects and DBAs. Staying updated with best practices and working as part of a cross-functional data team are key to ensuring efficient data processing and robust solutions.

What is the difference between Netezza Developer vs SQL Developer?

AspectNetezza DeveloperSQL Developer
Primary FocusDesigning and maintaining Netezza data warehouse solutionsDeveloping, testing, and maintaining SQL queries and database applications
Required SkillsProficiency in Netezza, SQL, ETL processes, data modelingStrong SQL skills, database design, query optimization, scripting
Work EnvironmentData warehousing, analytics, large-scale data processingDatabase development across various platforms, application integration
CertificationsOften Netezza-specific or general data warehousing certificationsSQL certifications, database management certifications

While both roles require strong SQL skills, Netezza Developers specialize in Netezza data warehouse solutions, focusing on data modeling and large-scale data processing. SQL Developers have a broader scope, working across different database systems to develop and optimize SQL queries and applications.

What are popular job titles related to Netezza Developer jobs in Ontario?

For Netezza Developer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Netezza Developer jobs in Ontario look for?

The top searched job categories for Netezza Developer jobs in Ontario are:

What are popular job titles related to Netezza Developer jobs in ON?

For Netezza Developer jobs in ON, the most frequently searched job titles are:

Infographic showing various Netezza Developer job openings in Ontario as of August 2026, with employment types broken down into 75% Full Time, 12% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Senior Manager Data Engineering

Toronto, ON • Hybrid

CA$94K - CA$176K/yr

Full-time

Medical, Life, Retirement

Re-posted 23 days ago


Job description

Application Deadline:

10/29/2026

Address:

4100 Gordon Baker Road

Job Family Group:

Technology

Please note this role is subject to Hybrid Work model, working 2 days per week in the office at 4100 Gordon Baker Road, Toronto or 250 Yonge Street, Toronto

About the team

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 deliver hundreds of initiatives every year to help our partners solve problems and make smarter data-driven decisions.

We are a very diverse organization with plenty of exciting opportunities to apply your unique skills to solve complex business problems. If you love data, complex challenges, cutting-edge technologies, and opportunities to learn, then this is the team you want to be in.

What will you do

  • Manage a team of 20+ FTE and global resources

  • 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

  • Builds the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.

  • Provide direction on technical designs and ensure alignment with standards and roadmaps

  • Provide technical direction and guidance to junior and intermediate developers

  • Identify, track, and perform regression testing on defects found

  • Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.

  • Accelerate development by building frameworks, automation scripts, and reusable code

  • Strengthen development capability via mentoring, knowledge sharing, and building communities of practice

  • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.

What do you need to succeed

Must have

  • 15+ years of relevant experience and IT education and/or certification(s)

  • 5+ years of experience managing teams of FTE and global resources

  • Hands on experience with extract, transform, load (ETL) for various sources and downstream consumption, ability to write code and guide other team members in writing complex transformations

  • Hands on experience in solution architecture, data modelling, designing complex systems to support large scale transformations, hands with data mining & analysis for existing and new data warehouses on-prem and cloud

  • Hands on experience in one or more of SQL, NoSQL, Python, Spark, Scala, code optimization, debugging

  • Experience with AI concepts, GenAI, prompt engineering, retrieval-augmented generation (RAG), AI-powered tools in SDLC, etc...

  • Hands on experience with SSIS, Glue, cloud storage and computing services (e.g. AWS, Azure), Hadoop, Netezza, Apache Airflow or similar tools

  • Experience with structured, semi structured and unstructured datasets in batch and streaming

  • Experience with data analysis, data mapping and data profiling

  • Hands on experience with DevOps methodologies, including CI/CD pipelines and infrastructure as code.

  • Experience in handling process improvements using automation, re-modelling, modernization, re-design or update design, solution for optimal and cost efficient needs

  • Experienced in guiding the team to code, develop, unit testing and QA new/existing pipelines, automated solutions and ability to structure new solutions with minimal requirements provided yet seek for clarifications as needed.

  • Experience with spear heading discussions with counterparts, stakeholders, business, architecture teams, operations and other engineering teams.

  • Experience in Agile delivery, including usage of JIRA

  • Experience in defining software engineering standards and best practices

  • Experience in large enterprise setting

  • Experience interacting with senior leaders

  • Experience working in highly regulated industries

Salary:

$94,600.00 - $176,000.00

Pay Type:

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 bonuses, 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

About Us

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.

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.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.