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, effective 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 Robust SQL and Python.

Handson 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 rampup).

Nice to Have: Capital Markets data/domain exposure (advantageous but not mandatory).

Experience in Azurenative services around Databricks; familiarity with AWS or GCP concepts.

📌 Intermediate Data Analyst To Support Capital Markets Data Architecture 99058 Toronto
🏢 S.i. Systems
📍 Toronto