Data Engineer Hybrid

Position: Data Engineer Hybrid Work
Elevate your data management career as a Data Engineer in Toronto with a hybrid work model. Contribute to enhancing data pipelines and drive data-led decisions within Third Party Management at the bank.

This contract position requires expertise in data ingestion, processing, and modeling across various domains like contracts and spend. You will engage with both business and technical stakeholders to integrate data sources, develop ETL pipelines, and produce insightful dashboards using Power BI or Tableau. A strong focus on data governance and compliance is essential for this role.

Key Responsibilities:

• Develop and enhance ETL pipelines for diverse data sources

• Collaborate with stakeholders for data integration and reporting

• Create Power BI dashboards and define key performance indicators

• Ensure data quality and compliance with regulatory standards

• Utilize Azure Databricks for big data management

Requirements:

• Bachelor’s degree in Computer Science or related field

• Minimum 3 years in a Data Analyst or Business Systems Analyst role

• Proficiency in Alteryx and advanced SQL scripting

• Familiarity with Jira and Confluence for project management

• Excellent analytical skills and communication abilities

Drive impactful data solutions and leverage your analytical skills in this Data Engineer role in Toronto.
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