Hybrid Senior Data Engineer - PySpark & Python ETL

A technology solutions provider in Texas seeks a data engineer focused on building scalable data solutions using Python and PySpark. The candidate should have over 10 years of experience in data engineering, expert proficiency in data frameworks like Pandas and NumPy, and familiarity with cloud-based data services such as AWS. This mid-senior level position offers a hybrid work model and requires strong DevOps skills for managing data applications. #J-18808-Ljbffr