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