Perficient is seeking a Data Engineer to design, build, and operate end-to-end data pipelines using PySpark on Databricks. You will implement ETL/ELT pipelines, contribute to lakehouse architectures, and ensure data quality and observability across large-scale systems.
You will collaborate with data architects, analysts, and stakeholders to translate requirements into scalable data solutions, while applying CI/CD and version control practices and leveraging cloud platforms such as Azure or AWS.