5+ years of experience as a software developer. At least 2 years focused on data infrastructure, ETL, or analytics. Hands-on experience building and maintaining data pipelines. Experience with modern data stack tools and best practices. Understanding of data modeling, data quality, and performance optimization for analytical workloads. Excellent communication skills. Adaptable, self-motivated, and thrive in fast-moving environments. Experience working with large datasets and designing reliable, maintainable, and cost-effective data systems. Proficiency in Python, SQL, and TypeScript. Experience with data tools like dbt, Airflow, or similar orchestration frameworks. Experience deployed on AWS.