Jobs → Data & Analytics → Data Engineer / ETL Developer

About the Role We are seeking an experienced Data Engineer / ETL Developer to join our team. This role involves developing and maintaining robust ETL pipelines and optimizing database performance. Key Responsibilities • Design, develop, maintain, and optimize ETL workflows using Apache NiFi, PySpark, and AWS Glue • Write, analyze, and optimize complex SQL queries to support data processing and integration requirements • Perform database development and performance tuning across MySQL, PostgreSQL, and AWS DocumentDB • Develop and support data streaming solutions using Apache Kafka or similar streaming technologies • Provide development and production support for GBD/RX, regular project activities, and Knox initiatives • Troubleshoot production incidents, conduct root cause analysis (RCA), and implement permanent corrective actions • Coordinate and execute System Integration Testing (SIT), regression testing, and data validation activities • Collaborate with cross-functional teams to ensure data quality, reliability, and timely delivery of project requirements • Monitor ETL processes, resolve data pipeline failures, and ensure smooth production operations Requirements • 6+ years of experience in ETL development with Apache NiFi, PySpark, and AWS Glue • 6+ years of experience with complex SQL queries, performance tuning, MySQL, PostgreSQL, and AWS DocumentDB • 3+ years of experience with Apache Kafka or similar streaming platforms • Strong troubleshooting, analytical, and problem-solving skills • Experience supporting production data pipelines and resolving critical data issues • Hands-on experience with SIT, regression testing, and data validation • Strong communication and collaboration skills • Willingness and ability to work onsite in Mason, OH, five days per week