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 modern data solutions. Your expertise will enable effective analytics and support critical business insights through collaborative efforts with data scientists and engineers. The chance to innovate in a dynamic environment 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
• Solid 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
🏢 NEARSOURCE TECHNOLOGIES
📍 Toronto
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