Join NearSource as a Data Engineer focusing on Python and Spark in a hybrid setup. This role empowers you to build impactful data platforms for a Fortune 500 client.

In this position, you will apply your 5+ years of data engineering experience to design and scale up-to-date data solutions. Your expertise will enable efficient analytics and support critical business insights through collaborative efforts with data scientists and engineers. The opportunity to innovate in a agile workplace awaits you.

Key Responsibilities:
• Architect and scale data processing platforms
• Automate management of cloud data infrastructures
• Create and maintain interactive dashboards
• Collaborate on requirements with stakeholders
• Develop optimized SQL queries for reporting

Requirements:
• Minimum 5 years in data systems and pipelines
• Proficient in Spark and Python programming
• Robust knowledge of SQL and data modeling
• Experience with Git and CI/CD practices
• Familiarity with BI tools like Power BI or Tableau

Drive tangible results through your data engineering skills at NearSource in Toronto.
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📌 Data Engineer Role In Toronto Hybrid Ontario (Canada)
🏢 NEARSOURCE TECHNOLOGIES
📍 Canada