Data Ingestion/ETL: Enterprise level structured and unstructured data ingestion; analysis, design, build, test, implement, and support ETL solutions for multiple subject areas sourced from disparate data sources; one or more tools and techniques (e.g., Spark, Kafka, Flink, ActiveMQ, Pentaho, Perl, Shell scripting, machine translation, language identification). Responsibilities include: data mapping, modeling, and analytical support; large-scale file manipulation; data extraction, transformation, and load (ETL); database support; data testing and quality analysis; documentation preparation; and maintenance of data exploitation systems.