Job Description:

TIBCO Data Science Team is seeking a Associate Member Technical Staff, QA to validate product functionality, correctness, scale and performance This is an opportunity for someone with a technical background to work closely with the latest big data and machine learning technologies such as Spark, MLLib, Hadoop, Scala, Python and AWS You will work alongside a high-powered team of engineers and data scientists and help dream up new capabilities for TIBCOs Spotfire Data Science applications so that we can bring data science to the broadest possible audience

Perform functional and correctness testing on Alpine Do new features work as designed Are themachine learning algorithm results correct and performant Can the application handle thousands of users and hundreds of gigabytes of data
Develop custom testing tools and scripts using Python, Robot Framework / Selenium / JUnit, or similar automation testing tools supporting the testing of ETL, Big Data infrastructure such as HDFS/YARN, Kerberos, Spark, PostgreSQL, Amazon EMR, Redshift
Responsible for Continuous Integration and deployment in the context of release engineering using tools such as jenkins, gitlab, AWS
Create and Maintain automated test environments and perform Unit, API/Functional, Stress, Scale and Performance testing
Experience with Cloud IaaS (AWS/Azure) and virtualization technologies such as, Ovirt
Learn about and manage big data infrastructure We support parallel databases such as Greenplum, and all major Hadoop distributions It is test engineerings job to configure, validate, and manage these clusters for others in the engineering organization
Work closely with support and data scientists to troubleshoot real-world issues, and circle feedback as product enhancements
Provide detailed defect reports by attaching logs with relevant errors or exceptions resulting from your tests along with screenshots, cogent descriptions and steps to reproduce along with actual vs expected results

BS/MS in Computer Science, Mathematics, Machine Learning or Data Science or a related field
A minimum of 2 years experience in SDLC process with a focus on test planning, test execution, defect management testing for Web Applications or Big Data applications
Must have 2 years working experience with developing automated test scripts supporting the testing of ETL, Big Data infrastructures
Experience with a scripting language Python, Bash Proficient in SQL
Strong experience in API testing/Stress/Performance
Proficiency using Linux based operating systems
Some familiarity with techniques such as machine learning, statistical analysis and predictive modeling
Experience with some of the following technologies Docker, Hadoop, Databases, Jetty, JMeter, Kerberos, LDAP, Nginx, Ruby on Rails, Spark, MapReduce
Strong communication skills must be able to communicate with global team members

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Software Services, IT-Software
Functional Area : IT Software : Software Products & Services
Role : Quality Assurance/Testing
Salary : As per Industry Standards
Deadline : 19th May 2020

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