Data Engineer - Snowflake

Tiger Analytics is a fast-growing advanced analytics consulting firm seeking a Data Engineer to architect and implement advanced analytics capabilities using the AWS Cloud stack and AI.

Requirements

• 12+ years of overall industry experience in data engineering with a focus on AWS Cloud stack and AI
• 8+ years of experience building and deploying large-scale data processing pipelines in a production environment
• Advanced proficiency in Python, SQL, and PySpark
• Experience with Snowflake/Databricks on AWS, dbt, and distributed computing frameworks like Apache Spark
• Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake
• Understanding of ELT and ETL patterns and when to use each
• Strong analytic skills related to working with unstructured datasets
• Experience supporting and working with cross-functional teams in a dynamic environment

Benefits

• Career development opportunities
• Unique entrepreneurial environment
• High degree of individual responsibility