Elevate your career as a Senior Data Engineer focused on Databricks and AWS environments. You'll design cutting-edge data pipelines that directly impact business intelligence and ML workflows.
As a key player in an ongoing transformation initiative, you'll collaborate with cross-functional teams to modernize data architecture. This role involves designing and enhancing scalable data solutions to ensure quality and performance, critical for enterprise analytics and reporting platforms.
Key Responsibilities:
• Design and maintain data pipelines using Spark and Python
• Enhance AWS data stack for optimal performance
• Contribute to a major Databricks transformation project
• Partner with analytics teams for enterprise reporting support
• Integrate machine learning workflows into data solutions
Requirements:
• 5+ years in Data Engineering or relevant experience
• Robust experience with Python and Spark
• Proven AWS skills in a data setting
• Direct experience with Databricks and pipeline construction
• Solid understanding of ETL processes and data quality
Lead impactful data initiatives that shape data-driven decision-making across the organization.
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📌 Senior Data Engineer For Aws & Bi Initiatives Vaughan (Canada)
🏢 Insight Global
📍 Canada