Apply on Kit Job: kitjob.ca/job/2fsrp3

Capital Markets - Analyst/Developer - Specialty - 4 (Data Enigneer)

Location Address: Hybrid - King Street W 19th Floor – 2 days/week (Monday, Tuesday)

Subject to change: 3–4 days onsite may be required based on business needs

Contract Duration: ASAP to Oct 31, 2026

Possibility of extension & conversion to FTE

Schedule Hours: 9am-5pm Monday-Friday; standard 37.5 hrs/week

Must-Have Skills

1. 8+ years as a Developer / Data Engineer/ Software Engineer with end to end application development experience.

2. 3+ years recent hands-on Python programming experience.

3. Intermediate to advanced SQL, data transformation, and data manipulation skills.

Nice-to-Have Skills

1. Exposure to various architecture patterns and design such as message based ETL SQL batch, real time programming, schedule-based batch

2. Proficiency with Pandas Dataframe and Numpy

3. Experience with cloud-native technologies (GCP, Google Cloud Functions, Big Query, Data Flow, Spark, Data Proc, Pub/Sub, CLI, shell scripting).

4. Familiarity with Kubernetes, Docker, Terraform

6. Experience with scheduling tools like Airflow, Tidal

7. Experience with Object Oriented Design, parametrization (Jinja2)

8. Experience with Python best practices and Git/Bitbucket best practices

9. Retail credit risk experience

Ideal Candidate

A strong developer with a Data Engineering mindset—someone who builds scalable data products, optimizes workflows, and understands how systems fit together. Self motivated, curious,



and experienced in complex enterprise data environments.

The strongest candidates are deep technical builders with a balanced blend of Python development and advanced data engineering experience. They have:

Demonstrated ability to design scalable data architectures, not just write scripts.

Experience optimizing ETL workloads for performance, scalability, and lifecycle management.

A history of going beyond their assigned tasks to improve frameworks, automate processes, or refactor legacy components.

Proven resilience: they thrive in complex, ambiguous environments with large datasets, conflicting requirements, and evolving priorities.

Experience across multiple databases, cloud platforms, and batch/streaming paradigms.

A robust understanding of data modeling, data quality, and pipeline orchestration.

Curiosity and initiative — they proactively investigate issues, propose solutions, and execute with minimal supervision.

Candidate Review & Selection – Interview Process

Possible codility to be sent to shortlisted candidates and will invite to interview based on results (or will incorporate into interview - TBD)– maybe 5 questions, can be done in 1-2 hours – with 3 days to complete, then team will review results and decide who to interview – Python and SQL based questions

In person Interviews preferred at 44 King West - 1 hour

Regards

Deepthi R

Sr. Technical Recruiter

(phone hidden)‬

Apply on Kit Job: kitjob.ca/job/2fsrp3

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