- 10+ years of experience in IT platform implementation in a technical and analytical role.
- 5+ years of experience in Data Lake/Hadoop platform implementation.
- Hands-on experience in implementation and performance tuning of Hadoop/Spark implementations.
- Experience in Apache Hadoop and Hadoop ecosystem.
- Experience in one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, and Avro).
- Experience in one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, and Presto).
- Experience in developing software code in one or more programming languages (Java, Python, etc).
- Education: Bachelor’s degree, in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience
- Experience: 10+ Years