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Intermediate Data Analyst to support Capital Markets Data Architecture - 99058S.i. Systems • Toronto
Intermediate Data Analyst to support Capital Markets Data Architecture - 99058

Intermediate Data Analyst to support Capital Markets Data Architecture - 99058

S.i. Systems • Toronto
30+ days ago
Salary
CA$65.00 hourly
Job type
  • Full-time
Job description

Request ID: -1

Duration - 6 months

Remote/Hybrid: Hybrid - Every Thursday and everything third Friday

Office Location: 81 Bay Street

Work Location (Tax): 81 Bay 19th Floor

Line of Business: Capital Markets

What does the LOB do:

Working on CMDA (Capital Markets Data Architecture) to centralize capital markets data on Databricks; typical work includes data ingestion, building data pipelines, enrichment, and modeling to retrieve/serve data from Databricks

Job Description:

  • Design, build, and maintain data pipelines on Databricks/Spark for ingestion, curation, and retrieval of capital markets data.
  • Perform data enrichment and data modeling aligned to business needs and platform standards.
  • Write clean, efficient SQL and Python for transformations, validation, and automation.
  • Collaborate with the team lead (assigns JIRAs/work items) and senior developers; participate in code reviews and delivery ceremonies.
  • Operate within Azure (preferred) and adapt concepts from other clouds as needed; contribute to documentation and knowledge sharing.

Must Have Requirement:

  • 5 years experience as a Data Analyst/Engineer with big data and data pipelines
  • Strong SQL and Python.
  • Hands‑on with Databricks and solid understanding of the Spark engine.
  • Experience with data modeling and enrichment.
  • Cloud experience—Azure preferred (conceptual parity with AWS/GCP acceptable for ramp‑up).

Nice to Have:

  • Capital Markets data/domain exposure (advantageous but not mandatory).
  • Experience in Azure‑native services around Databricks; familiarity with AWS or GCP concepts.


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Intermediate Data Analyst to support Capital Markets Data Architecture - 99058 • Toronto

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