Position: Data Test Engineer (Automation)
Company: globallogic.com
Category: QA Automation
Experience required: 3y
English level: intermediate

This DTE will work with Business Intelligence analysts and developers to make sure data quality and integrity is maintained as new events are added to applications.  The position requires strong automation experience with a focus on data, knowledge of frameworks, mobile automation, data pipelines from raw data to reporting, and demonstrable SQL skills. The DTE will work closely with the Manager, Data Test Engineering and will also act as a representative of the Software Test Engineering Team in scrum meetings, and work alongside product management to address how to provide better quality coverage for the applications supported via automation.

Job Description
- 5+ years of software testing or SDET experience.
- 3+ years of automation testing experience on Web, Native, Backend or OTT platforms.
- 3+ years experience working on Appium, Selenium or similar test automation toolsets.
- Expertise in Test Automation Frameworks using Jenkins, Java, Maven, TestNG.
- 3+ years of testing experience working within an Agile environment, and with Agile Management tools such as JIRA.
- Expertise in testing applications developed using various mobile technologies including J2ME, Android SDK, IOS SDK, etc.
- Experienced in Database Testing and using various DBMS tools including Mode analytics, MySQL and performing complex queries.
- Experience working with Amazon Web Services, querying and working with data in various AWS services.
- Functional Testing on Native Apps, OTT (Over-the-top), web platforms, a BIG plus.
- Upper-intermediate English

Job Responsibilities
- Maintain and/or develop automation tools and scripts to validate data analytics events.
- Work with project teams implementing analytics features into client applications and verify the firing of those analytics events by initiating scripts.
- Verify capturing of analytics events in related file systems or databases through SQL, or a scripting language (Python, Java, shell scripting, etc.).
- Work with Business Intelligence and Product Management to create test strategies, plans and cases that provide acceptable coverage for a given data pipeline, from event creation to reporting.
- Perform data profiling on downstream data for the purposes of finding field anomalies and possible data quality issues.
- Work in an Agile Software Delivery methodology, highly focused in creating data validation tests based on requirements.
- Work with other members of Data Test Engineering to compile a regression test suite that can be executed quickly via automation scripts.

Keyskills:
Java Testing, Maven, SQL, Database testing, AWS, Jenkins, Agile, JIRA, Appium, Selenium, Data Validation