Data Engineer

📋 Description

• Validate and reconcile two or more datasets simultaneously.
• Build Python-based data validation and comparison frameworks.
• Use Pandas and NumPy extensively to analyze, transform, and validate large datasets.
• Develop automated processes to identify missing, duplicate, or inconsistent data.
• Investigate data quality issues and determine root causes.
• Create reports highlighting discrepancies and data quality metrics.

🎯 Requirements

• Python (3+ years of hands-on experience)
• Pandas (Advanced)
• NumPy (Advanced)
• SQL
• Experience processing and validating large datasets (millions of records)
• Data reconciliation and dataset comparison

🎁 Benefits

• Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance
• Retirement Savings Program – Registered Retirement Savings Plan (RRSP) with the option of receiving
• Virtual Health Care – Company-paid program available to all employees and their dependents/partners.
• Employee & Family Assistance Program (EFAP) – Company-paid support services for employees and
• Additional support including enhanced parental leave, wellness reimbursement, a Business Coach from