Job Summary:

As an individual contributor, you will take ownership of the most challenging technical initiatives-solving problems at scale, driving improvements in performance and reliability, and setting the standards that others follow. You will partner closely with Data Engineering, Platform Engineering, Data Science, Architecture, and other technical teams to evaluate solution designs, influence engineering decisions, and mentor developers in modern data engineering practices.

Responsibilities and Accountabilities:

+ Develop & Maintain Scalable Data Pipelines: Architect, build, and optimize ETL/ELT pipelines using PySpark, Spark SQL, Auto Loader, and Delta Live Tables to support end to end ingestion and transformation.

+ Implement Robust Lakehouse Architecture: Design and enhance Medallion Layers (Bronze/Silver/Gold) data models, applying Delta Lake features such as schema evolution, CDF, Optimize, and Z Ordering to deliver performant, re...