Senior Data Engineering

Identify data quality issues and implement solutions to improve data accuracy, consistency, and reliability Design and build features from raw data to support machine learning and analytics use cases Build and maintain robust data pipelines for efficient data processing and flow Integrate data from multiple sources and systems to create unified, usable datasets Requirements 4+ years of relevant experience in data engineering and ETL, or related roles Strong hands-on experience in data quality improvement initiatives Proven expertise in feature engineering for analytics or ML use cases Solid experience in data pipeline development using modern data tools Experience with data integration services across varied data sources and systems