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 expertise Design and implement large-scale data processing pipelines Build self-service dashboards using visualization tools Work with large and complex data sets Generate insights addressing business challenges Requirements:

12+ years of data engineering industry experience Heavy focus on AWS Cloud and AI 8+ years deploying production data processing pipelines Advanced Python, SQL, and PySpark proficiency Experience with Snowflake, Databricks, dbt, and Apache Spark Bring AWS, AI, Python, SQL, and pipeline expertise to Tiger Analytics’ advanced analytics consulting work.

📌 Senior AWS Data Engineer AI (Toronto)
🏢 Tiger Analytics
📍 Toronto