Elevate data solutions with Konrad as a Senior Data Engineer. Design and maintain scalable data platforms while collaborating with data analysts and scientists in a hybrid working environment.
In this pivotal role, you will contribute to innovative data solutions, leveraging your expertise in Azure Fabric, Databricks, and Snowflake. Your responsibilities will include building robust data pipelines, optimizing workflows for performance, and ensuring data security and compliance. Work closely with various teams to address data needs and enhance analytics capabilities.
Key Responsibilities:
• Design and manage scalable data pipelines and architectures
• Implement solutions using Azure Fabric, Databricks, and Snowflake




• Optimize data workflows for reliability and performance
• Collaborate with stakeholders to understand data requirements
• Perform data modeling and ETL/ELT processes
Requirements:
• Bachelor’s degree in a relevant field
• 4+ years experience in Data Engineering
• Proficient in Azure Fabric, Databricks, and Snowflake
• Robust skills in SQL and Python
• Familiarity with big data technologies (Spark, Hadoop)
Drive impactful data solutions at Konrad, ensuring efficient, secure, and innovative data management.
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📌 Senior Data Engineer at Konrad (Toronto)
🏢 Socket.dev
📍 Toronto