Data Engineer

📋 Description

• Design, build, and maintain scalable ETL/ELT pipelines for BI.
• Develop data infrastructure across SQL Server and AWS.
• Migrate on-prem systems to AWS cloud platforms.
• Maintain and optimize SSIS packages and existing data workflows.
• Design data models (star schemas) optimized for analytics.
• Collaborate with BI Analysts using Power BI/Tableau for client reporting.

🎯 Requirements

• Bachelor’s or Master’s in CS, Data Eng, Stats, or related field.
• 3–5 years in data engineering, BI/analytics focus.
• Hands-on AWS or other cloud platform experience.
• Strong data pipelines with Python, SQL, Spark.
• Data modeling for analytics (star schemas, warehousing).
• Proficient in SQL and Python.

🎁 Benefits

• Annual performance-based bonuses.
• Generous benefits with low premiums.
• RRSP matching.
• Paid vacation and sick days.
• Birthday day off.
• LinkedIn Learning access and education reimbursement.