Big Data Engineer

A Big Data Engineer develops and manages large-scale data processing systems that enable organizations to analyze massive datasets efficiently. They build data pipelines, optimize storage systems, and support advanced analytics initiatives. Skills Required Hadoop Kafka SQL Python Java Scala Data Warehousing Docker ETL Development Education Bachelor's degree in Computer Science, Data Engineering, Information Technology, or related field. Big Data certifications are beneficial. Description Big Data Engineers design and maintain high-performance data platforms capable of processing structured and unstructured data from multiple sources. They create scalable ETL pipelines, integrate cloud technologies, optimize distributed computing environments, and collaborate with data scientists to support machine learning projects. The role requires expertise in distributed systems, database technologies, and cloud platforms while ensuring data accuracy, availability, and security. Career progression includes Senior Data Engineer, Data Platform Architect, and Director of Data Engineering. Atlanta, Georgia, USA, Atlanta, Georgia, United States J-18808-Ljbffr