Responsibilities Sec/DevOps for an audio-video application Optimizing and maintaining a/v ingest sources Scripting and updating Lambdas in the AWS cloud environment Qualifications Experience with Linux and AWS environments Scripting in Python required, other scripting languages helpful System Administration and DevOps Audio and Video Encoding in Realtime using FFMPEG in any cloud environment Education Requirements/Years of Experience Bachelors degree in computer science, engineering, or related 2+ years experience Desired Certifications AWS SysOps Administrator, AWS DevOps Engineer, and/or AWS Developer or similar We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status** Job Requirements: Troubleshoot and debug any hadoop ecosystem Assess the quality of datasets for a hadoop data lake Troubleshoot and debug any hadoop ecosystem run time issues Develop efficient pig and hive scripts with joins on datasets using various techniques Execute in the design/development of data ingestion and data transformation for big data applications Tuning Hadoop jobs (hive, pig) Move data from one cluster Troubleshoot issues with hive, Hbase Execute in the design/development of data ingestion and data transformation for big data applications Enabling the next generation customer analytical platform using big data technologies Lead the design and implementation of sustainable tools & processes to support the big data ecosystem Support the big data ecosystem Make sure that all the big data applications are Troubleshoot technical and performance issues in the big data ecosystem Expect that from a big payments company Creating big data and analytics solutions for Digital channel Perform data profiling on big data distributed computing environments, relational databases and XML Help architect and build a big data platform used for analytics Assist in data analysis and data modeling Leading the implementation and support of leading-edge, data warehouse / big data environments