Data Analyst; Databricks Job Toronto area,Ontario Canada,IT/Tech

Position: Data Analyst (Databricks)

Data Analyst - Intermediate

Job#:

Project Scope:

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

Role reports to:

Director of Application Services - Jira distribution will be done by Team Lead

Reason the role is open:

Work overflow / long backlog of pipelines & requirements; need analysts to pick up queued tasks

Target

Start Date:

March 2nd

Duration:

6 months

Potential for extension or conversion to full-time:

Yes

Rate:

$50-60/hr T4

Remote/Hybrid:

Hybrid - Every Thursday and everything third Friday

Office

Location:

Downtown Toronto

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.

Key

Qualifications:

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.

Equal Opportunity Employer Notice:

Everforth Apex is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law.

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