Architect advanced analytics with AWS, AI, Python, and SQL at Tiger Analytics, applying deep data engineering expertise to complex datasets. This consulting role focuses on building capabilities that generate business value from data.The Data Engineer will design and implement advanced analytics capabilities for Tiger Analytics. You will work with large-scale processing pipelines, relational databases, visualization tools, and self-service dashboards. The role applies data engineering skills to business challenges while supporting the company’s analytics development.Key Responsibilities: Architect advanced analytics capabilities using data engineering expertiseDesign and implement large-scale data processing pipelinesBuild self-service dashboards using visualization toolsWork with large and complex data setsGenerate insights addressing business challengesRequirements: 12+ years of data engineering industry experienceHeavy focus on AWS Cloud and AI8+ years deploying production data processing pipelinesAdvanced Python, SQL, and Py Spark proficiencyExperience with Snowflake, Databricks, dbt, and Apache SparkBring AWS, AI, Python, SQL, and pipeline expertise to Tiger Analytics’ advanced analytics consulting work.#J-18808-Ljbffr

📌 Senior Aws Data Engineer Ai (Toronto)
🏢 Tiger Analytics
📍 Toronto