About Xebia
Xebia is a trusted advisor in the modern era of digital transformation, serving hundreds of leading brands worldwide with end-to-end IT solutions. The company has experts specializing in technology consulting, software engineering, AI, digital products and platforms, data, cloud, intelligent automation, agile transformation, and industry digitization. In addition to providing high-quality digital consulting and state-of-the-art software development, Xebia has a host of standardized solutions that substantially reduce the time-to-market for businesses.
Xebia also offers a diverse portfolio of training courses to help support forward-thinking organizations as they look to upskill and educate their workforce to capitalize on the latest digital capabilities. The company has a strong presence across 16 countries with development centres across the US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific.
Role & Responsibilities:
In this role, the individual will be part of the data engineering team and have the following responsibilities.
Perform E2E test activities, working closely with data engineers and data scientists on a complex and innovative analytics applications.
Design and perform test plans for testing system back-end components, ensuring product's quality and coverage.
Develop and maintain automated test suites, using Python, Java & Scala.
Simulate E2E scenarios for big data platforms or equivalent technologies
Report on test progress and bugs found.
Share knowledge with other team members.
Must have Skills:
At least 6+ years of professional experience automation testing in Big Data or equivalent technologies.
Team player, agile, flexible, multi-tasking, passion for learning new things in Big Data.
Excellent analytics, problem-solving in Java/Scala and Python development experience.
Hands-on experience with Unix/Linux and writing scripts in Python and Scala.
Strong communication skills and willingness to take initiative to contribute beyond basic responsibilities.
Good to have Skills:
Experience working with Big Data technologies such as Hadoop / Spark / Hive / Kafka / HBase - Advantage.
Experience with data analytics practices - Advantage.
