Description:
Required Skills & Experience: Hands-on code mindset with deep understanding in technologies / skillset and an ability to understand larger picture. Sound knowledge to understand Architectural Patterns, best practices and Non-Functional Requirements Overall, 8-10 years of experience in heavy volume data processing, data platform, data lake, big data, data warehouse, or equivalent.5+ years of experience with strong proficiency in Python and Spark (must-have).3+ years of hands-on experience in ETL
Apr 2, 2025;
from:
dice.com