Data Engineer

Position: Data Engineer Hybrid Role
Join a leading Fortune Technology company as a Senior Data Engineer in Toronto. This hybrid role focuses on building data processing pipelines and delivering impactful analytics solutions.

As a self-directed Senior Data Engineer, you will leverage 4–7 years of experience in big data systems, strong proficiency in Spark Data Frames, and hands-on programming with Python and SQL. Your goal is to design and improve data architectures, ensuring that they drive business success while collaborating with cross-functional teams.

Key Responsibilities:

• Translate business needs into scalable data architectures

• Build data infrastructure for batch and real-time processing

• Automate cloud services to enhance operational excellence

• Develop CI/CD pipelines to ensure high-quality deployments

• Deliver dashboards to support data-driven decisions

Requirements:

• 4–7 years of relevant industry experience

• Proficient in Spark SQL, Python, and SQL

• Knowledge of ETL tools like Airflow

• Experience with BI tools such as Power BI

• Familiarity with cloud services and CI/CD tools

Deliver measurable business impact as you enhance data processing capabilities in this innovative environment.
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