Description:

Responsible for architecting, designing, and implementing advanced analytics capabilities.
Engage with large and complex data sets to generate insights that solve business challenges.

Requirements:

12+ years of industry experience in data engineering, focusing on AWS Cloud and AI.
8+ years of experience in building and deploying large-scale data processing pipelines.
Advanced proficiency in Python, SQL, and PySpark.
Experience with Snowflake/Databricks on AWS, dbt, and Apache Spark.
Understanding of Datawarehouse systems and migration to data lakes/Snowflake.
Familiarity with ELT and ETL patterns, data models, and unstructured datasets.
Ability to support cross-functional teams in a dynamic environment.

Significant career development opportunities as the company grows.
Opportunity to work in a small, challenging, and entrepreneurial environment with high individual responsibility.

Skills