Hybrid Data Engineer Role in Toronto

Talent To Hire Inc.

Drive data solutions as an Intermediate Data Engineer in Toronto with a hybrid work model. Help shape advanced analytics and data governance within the Financial sector. Our client seeks an Intermediate Data Engineer to join their Toronto-based Data & Analytics team. This role requires 4-6 years of hands-on experience in data engineering, specifically in designing and optimizing ETL/ELT pipelines. You'll work closely with analysts to ensure solutions meet the organization's technical needs for improved data visibility and governance. Key Responsibilities:

Build and maintain efficient ETL/ELT data pipelines
Collaborate with teams to translate business requirements into data solutions
Design scalable data architectures using AWS and Snowflake
Ensure data quality and governance are maintained
Assist in cloud migration initiatives

Requirements:

4-6 years of data engineering experience
Strong SQL skills; experience with Snowflake or Databricks
Knowledge of DBT and Airflow
Familiar with CI/CD and data monitoring tools
Experience in financial services is a plus

Contribute to data innovation within a leading organization in wealth tech. #J-18808-Ljbffr

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Vacancy posted 15 hours ago

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