Required skills and experience
- Minimum of 8 years; experience in diverse data environments. Extensive Database and Data Analysis technology skills and experience. Requires substantial experience with the Hadoop ecosystem(5+ years) and other NoSQL technologies.
- Experience with MongoDB, Couchbase, Cassandra, Solr Cloud, Elasticsearch, Vertica, Kafka and Neo4J technologies is a plus
- Experience in using statistical analytics and predictive modeling tools and collaborating with and supporting analysts and data scientists
- Expert level of understanding of Data Modeling, Data Access Design, Query execution internals across different technologies, Indexing techniques, Text and Image search, Recommendation Systems, is a plus
- Extensive experience in addressing both operational and near real time needs as well as in addressing more traditional longer-latency data needs
- Expert level of understanding of Hadoop ecosystem components: Hive, Oozie, Spark, Alluxio, Tez, Kerberos, their internal working, interactions, Debugging techniques, is a must
- Expert level knowledge of 2 of the following languages is desired; C++, Java