Data Engineer
Data Engineer
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Job Description
Application Deadline:
Address:
100 King Street WestJob Family Group:
What Youll Do
Youll consult with data scientists the data and analytics teams technology partners business partners to create pipelines governance and solutions that impact a variety of model ops data and insight challenges across the North American Commercial Bank. Youll wrap model ops and analytics in clean repeatable and automated processes. Youll play a critical role in elevating business stakeholders confidence in our data. More specifically you will:
- Become the expert on the data sourced and used in the ML operations
- Transform structured and unstructured data for ML and Analytics programs.
- Ensure production behavioral scores and business metrics values align with expectations
- Identify and explain deviations in metrics in motion paths for resolution
- Exercises judgment to identify diagnose and solve problems within given rules
- Clarify key business and implement these metrics at scale
- Prepare modeling master data sets in collaboration with data scientists
- Create insights and visualizations which answer high impact business questions
- Prepare model validation documentation
Qualifications
- Consultative approach in engaging internal partners (e.g. data science business technology) desired
- Strong creative reasoning and computational thinking skills
- Clear verbal & written communication skills
- Extensive collaboration & team skills
- Experience impacting business transformation with data
- Proven experience building data pipelines in production for advanced analytics use cases
- Practical knowledge of software engineering concepts and best practices inc. DevOps DataOps and MLOps
- Proven ability to write clean maintainable scalable and production ready code
- Practical knowledge of software engineering concepts and best practices inc. DevOps DataOps and MLOps
- Experience utilizing NLP to transform Unstructured Data
- Strong proficiency with SQL and its variations among different databases
- 4 years production development experience
- 4 years of relevant work experience as a Data Operations Engineer
- 4 years of hands on experience in building production ETL/ELT solutions for large scale data pipelines
- Familiarity with distributed computing frameworks (e.g. Spark Dask) and analytics libraries (e.g. pandas NumPy matplotlib)
- Familiarity with Generative AI use optimization and tools (APIs Vector DBs Prompt Engineering)
- Familiarity with cloud platforms (e.g. AWS Azure GCP)
- 4 years of relevant experience and postsecondary degree in related field of study or an equivalent combination of education and experience.
Salary:
Pay Type:
The above represents BMO Financial Groups 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 parttime roles will be prorated based on number of hours regularly worked. For commission roles the salary listed above represents BMO Financial Groups expected target for the first year in this position.
BMO Financial Groups total compensation package will vary based on the pay type of the position and may include performancebased 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: 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. Well support you with the tools and resources you need to reach new milestones as you help our customers reach theirs. From indepth training and coaching to manager support and networkbuilding opportunities well help you gain valuable experience and broaden your skillset.
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.
Employment Type
Full-Time
