development methodologies. Prior work on cloud computing platforms. Hands-on experience with other big data tools such as Oozie, YARN, Spark, SparkSQL, Flume, Sqoop2, Pig, Drill, Kafka, Elastic. Familiar with the financial services industry and/or regulatory environments. Able to demonstrate active participation in the big data, analytics More ❯
products and a good understanding of Digital Marketing and Marketing Technologies. Have experience working with Big Data technologies (such as Hadoop, MapReduce, Hive/Pig, Cassandra, MongoDB, etc) An understanding of web technologies such as Javascript, node.js and html. Some level of understanding or experience in AI/ML. More ❯
Our team values continuous learning, knowledge sharing, and creating inclusive solutions that make a difference. Key Responsibilities Support customers with big data services including Apache Spark, Hive, Presto, and other Hadoop ecosystem components Develop and share technical solutions through various communication channels Contribute to improving support processes and customer … work week schedule, which may include weekends on rotation. BASIC QUALIFICATIONS - Good depth of understanding in Hadoop Administration, support and troubleshooting (Any two applications: Apache Spark, Apache Hive, Presto, Map-Reduce, Zookeeper, HBASE, HDFS and Pig.) - Good understanding of Linux and Networking concepts - Intermediate programming/scripting skills. More ❯
