Become a key player at Insight Global as a Data Engineer focused on architecting cloud-native data solutions. Utilize your expertise in ETL pipelines and distributed systems to advance our analytics capabilities.

As a Data Engineer, you will be at the forefront of creating and maintaining robust data platforms that empower operational reporting and machine learning initiatives. Your technical proficiency with tools like Hadoop, Spark, and AWS will support the development of sophisticated data architectures. Leadership and robust communication skills are crucial as you engage with both technical teams and stakeholders to implement effective data solutions.

Key Responsibilities:
• Implement large-scale ETL/ELT pipelines and frameworks
• Build and manage big data infrastructure with Spark and Kafka




• Create cloud-native architectures leveraging serverless technologies
• Model complex datasets with dimensional and normalized schemas
• Conduct data discovery for new integrations and transfers

Requirements:
• Expertise in big data tools (Hadoop, Spark, Kafka)
• Advanced SQL for data optimization
• Strong skills in Python
• Experience with AWS or Azure environments
• Familiarity with DevOps methodologies

Harness your data engineering skills at Insight Global, making significant advancements in cloud data infrastructures and analytics.
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📌 Data Engineer Specializing in Cloud Solutions (Ontario)
🏢 Insight Global
📍 Ontario