MUST HAVE:
5+ years of experience in data engineering within fast-paced, cloud-native environments
Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
Experience building and managing scalable ETL pipelines and data lake infrastructure
Familiarity with distributed systems, Spark, and data quality best practices
Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business ...