Senior Data Engineer (3-4 Years)

This is a hands-on engineering role focused on building and maintaining scalable data infrastructure within a fast-growing creator-led e-commerce startup. The successful candidate will design batch and near real-time pipelines, develop data models, and ensure high data quality and reliability. Responsibilities: - Design, build, and maintain scalable batch and near real-time data pipelines - Develop ETL/ELT pipelines using Python, SQL, and Spark/PySpark on Databricks - Build Bronze, Silver, and Gold data models using a Lakehouse (Medallion) architecture - Optimize Spark jobs for performance, scalability, and cost Qualifications: - 3+ years of professional experience in Data Engineering, with a strong software engineering foundation - Strong SQL skills (joins, CTEs, window functions, query optimization) - Hands-on experience with Apache Spark / PySpark / Databricks - Experience with the AWS or GCP cloud ecosystem