Data Engineer

Interview : Vide
Visa : USC, GC, GC EAD, H4, L2
This is hybrid from day-1.
Must have strong experience with Scala.
Description :

• Experience dealing with large volumes of data, from various sources, both structured and unstructured.
• Ability to triage and talk through performance / scaling issues of dealing with data at scale.
• Good understanding of how data will be read (file formats, partitioning, bucketing).
• Extensive experience writing testable jobs using Spark (or equivalent) framework.
• Programming & Scripting Languages: Java EE, Scala, Spark, SQL, Bash.
• Web services & API standards: REST, OAuth, JSON.
• Software Architectures (micro-services, event driven, peer-to-peer).
• Application Security.
• Asynchronous Pub-Sub and Point to Point Messaging Systems.
• Advantage, if you have experience working in ETL and Hadoop Ecosystem: HBase, Solr, Spark Streaming, Kudu, Spring Boot, Spring Context, Spring Data Rest, General Cloudera experience.
• Streaming within the Hadoop ecosystem is a plus.