Lead Data Engineer (Databricks, PySpark & GCP)

The Lead Data Engineer will be responsible for gathering requirements, designing and architecting data solutions, and developing and maintaining ETL and ELT data pipelines using Python, PySpark, Databricks, and GCP. This role involves direct interaction with customers, ensuring data quality and consistency, and providing post-delivery support.

• Role involves direct customer interaction which may require strong communication skills
• Focus on ETL and ELT pipelines suggests a data-centric role that may not involve broader software engineering tasks