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 PythonEnhance AWS data stack for optimal performanceContribute to a major Databricks transformation projectPartner with analytics teams for enterprise reporting supportIntegrate machine learning workflows into data solutionsRequirements:5+ years in Data Engineering or relevant experienceStrong experience with Python and SparkProven AWS skills in a data environmentDirect experience with Databricks and pipeline constructionSolid understanding of ETL processes and data qualityLead impactful data initiatives that shape data-driven decision-making across the organization.#J-18808-Ljbffr

📌 Senior Data Engineer For Aws & Bi Initiatives (Vaughan)
🏢 Insight Global
📍 Vaughan