Job Description :
Big Data Test Engineer/ Hadoop Test Engineer
Work Location: San Jose, CA
Start Date : ASAP
Duration : 12 months
Job Description:
Candidate should have a passion for testing high-performance “Big Data” systems. In the role, you would be working with a Java application stack that tests open-source and commercial software like Apache Kafka, Hadoop, Hive, Storm, Zookeeper, Couchbase, MySQL, Druid and Vertica. Candidates will at least be familiar with the technologies we are using but may not have had the opportunity to acquire deep experience in previous job settings. However, you should have a true passion for technology that is apparent in your work and/or personal projects.
Responsibilities:
Hands-on work with Java, SQL, APIs and a variety of data systems Develop automated test frameworks and test highly scalable data pipeline that collects and
process billions of events per day.
Validate data systems and functionality or each release using automation as a key strategy
and establishing performance benchmarks
Design creative approaches to solving technical challenges with data validation and
integration scenarios
Be the champion for quality production releases and point person for investigating any
related issues
Contribute to and promote good software engineering practices across the team
Required Skills and Expertise:
Extensive Java experience and solid Linux/Unix skills
Excellent problem-solving skills and ability to mentor other engineers
Strong sense of ownership and track record of quality work
Can-do attitude and get things done on time and on budget
Exercise good judgment about which tools to use and when to use them
Good written and oral communication skills
Contribute to and promote good software engineering practices across the team.
Experience in Testing - Apache Kafka, Hadoop, Hive, Storm, Zookeeper, Couchbase, MySQL, Druid and Vertica