Tech Stack

Description

As a Sr. Data Engineer at Storable, you will build and maintain scalable data systems that support analytics, reporting, and product innovation. You will collaborate with senior engineers and cross-functional partners to ensure data is reliable, accessible, and actionable across the organization.

Requirements

• 5+ years experience building data pipelines or data engineering
• Hands-on with Apache Airflow, Spark, Iceberg, Trino, AWS (S3, Redshift, Glue, Athena, Lambda)
• Proficiency in Python for data processing
• Solid understanding of data warehousing and data modeling
• Experience deploying data pipelines in production

Responsibilities

• Design and maintain scalable data pipelines using modern tools
• Develop and optimize ETL/ELT pipelines from multiple sources
• Build and manage workflows with Apache Airflow
• Leverage Trino, Apache Spark for distributed processing
• Contribute to data modeling and warehouse schema design
• Implement data quality monitoring and validation