Data Engineer – Banking

Posted via LinkedIn Recruiter (not a company profile)

Posted 4 days ago

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About the role

  • Data Engineer for banking with Databricks, PySpark, SQL, ADF. Build scalable data pipelines in hybrid Toronto setting.

Responsibilities

  • Build and optimize scalable data pipelines using Databricks, PySpark, SQL, and Azure Data Factory. Strong Python, PySpark & ETL/data transformation experience required with banking domain knowledge.

Requirements

  • Must Have: Databricks, PySpark, SQL, Azure Data Factory (ADF). Strong Python, PySpark & ETL/data transformation experience. Hands-on with Databricks & Azure data stack. Banking domain experience required. Nice to Have: Medallion Architecture.

Job title

Job type

Contractor

Experience level

Not specified

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

DatabricksPySparkSQLAzure Data FactoryPythonAzure

Location requirements

Linkedin Recruiter PostTorontoOntario Toronto

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