Data Engineer
<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>Title : Data Engineer in Testing</strong></p><p><strong>Location : Zurich, Switzerland</strong></p><p>Duration: 6-12 months extendable</p><p><strong>Work model : 3 days onsite/week</strong></p><p><strong>Rate : CHF 680/day</strong></p><p><strong>Exp level : 7+ years</strong></p><p><strong>Mandatory skills :</strong> PySpark, Python, Test Automation(Cucumber / TestNG), Azure</p><p><strong>Desired skills : </strong>Databricks, Airflow, ALM, Xray or Squash, DevOps, Agile</p><p><strong><em>JD below</em></strong></p><p><strong><em> </em></strong></p><p><strong><em>Data Engineer in Testing (Minimum – 7 Years work exp – Zurich Location)</em></strong></p><ul><li>Handson experience in working with test automation of complex data transformation pipelines</li><li>Experience in Designing and optimizing data testing frameworks</li><li>Proven experience in performing functional testing to assess for accuracy, suitability, and functionality.</li><li>Ability to create test strategies and plans for manual and automated test methods.</li><li>Experienced in Python and pyspark, working knowledge on databricks. Keen on overall processing / compute cost optimization</li><li>Experienced with Microsoft Azure and other services, and Airflow</li><li>Prior working knowledge of any test management tool ALM, Xray or Squash</li><li>Experience with the overall STLC (Software Testing Lifecycle) stages</li></ul><p><em> </em></p><p><strong><u>MUST HAVE SKILLS</u></strong></p><ul><li>Python and pyspark are the language used across multiple agile pod within the team</li><li>Knowledge of different types of testing and respective test phases</li><li>Test Automation Framework: Cucumber / TestNG as per project setup</li><li>Automation Frameworks: Data-Driven Frameworks as per project setup</li><li>Build Tools: Gitlab as per project setup</li><li>API Testing: Postman / SoapUI as per project setup</li><li>Big Data Testing: Python and Pyspark, general usage of spark data processing engine</li><li>Understanding of cloud platform (Azure) and DevOps pipelines</li><li>Experience in Regulatory and Compliance Domain</li><li>Experience with Agile/Scrum methodologies</li></ul><p><strong><em> </em></strong></p><p><strong><u>OTHER BAU QA SKILLS (Supporting Skills)</u></strong></p><ul><li>Experience with test data identification and creation</li><li>Have a good understanding of non-functional test concepts (e.g., scalability, performance, and security)</li><li>Experience in leveraging Gitlab</li><li>Ability to work analytically and systematically throughout the development and testing life cycle</li><li>Experience of Agile and iterative development methodologies</li><li>Well-developed business communication skills – both written and verbal</li><li>Strong personal prioritization and time management</li><li>Methodology knowhow on how to ensure that project deliverables meet industry best practices</li><li>Strong analytical, problem-solving, and synthesizing skills (should be a quick learner and know how to figure things out with very minimal external help)</li></ul> </div>