QA Data Engineer

Job Description

At The Estée Lauder Companies (ELC), we believe that technology will power the future of beauty. Across more than 25 globally recognized brands sold in over 150 countries and territories, we use technology to reinvent and redefine how consumers worldwide explore and express their individual beauty. Infused throughout our organization is a passion for creativity and innovation and a desire to push the boundaries and invent the unexpected.

Our Digital Technology Centers are made up of talented individuals who exemplify ELC’s heritage of high-performance, innovation, and family values. We’re looking for creators, leaders, and visionaries with the passion and imagination to shape the next generation of beauty products and experiences. We’re hiring technologists at all levels.

ELC realizes that data and analytics are pivotal to be competitive in the marketplace and is investing into its data engineering capabilities. The QA Data Engineer will join a talented team of data engineers in our Eastern European Center (EEC), collaboratively working with the Global Data and Analytics (D&A) team on data products across all process areas.

Main responsabilities:

• Develop a test plan and assess effort and cost in project planning phase
• Collaborate with projects to manage traceability of requirements/user stories to test scripts/artifacts
• Lead, guide and monitor the analysis, design, implementation and execution of the test cases, test procedures and test suites
• Review code coverage for python / pyspark with the data engineering teams
• Provide status updates on testing for projects in development
• Discuss areas of improvements in the testing process including opportunities to automate or additional validation checks in the development phase to reduce test failures
• Proactively address capacity gaps and flag appropriately to leadership

Qualifications:

Mandatory:

• Working experience in data related testing in Big data with familiarity with Data Lake concepts
• Experience in back-end data testing (around databases, SQL)
• Experience in a test management tools such as Jira
• Experience in requirement analysis, coordinating with developers, architects, Product owners, Scrum Master and other stakeholders in AGILE environment
• Be very structured and organized to properly manage different status follow-ups and stakeholder expectations

Nice to have:

• Understanding of the Azure Platform as a Service ecosystem including components such as Azure Data Factory, Databricks, SQL DB
• Ability to interpret, execute and contribute to test strategy and test plans for a project or capability
• Experience working with the Software Development Life Cycle for analytical projects and their specific testing needs
• Experience in test automation, particularly in the context of DevOps
• Experience with Bitbucket and Azure Repos highly desired

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