Poziție deschisă- QA automation - Data Engineer în Bucureşti | Randstad

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rezumat

bucureşti, bucuresti
permanent

specialitate
it, comunicații
număr de referință
2352

accelerați aplicația prin partajarea profilului

oferă detalii

...

Offer

Responsibilities:

Develop a test plan and assess effort and cost in project planning phase
Writing automation scripts using Python
Identifying quality issues and creating test reports
Provide status updates on testing for projects in development
Identify areas of improvements in the testing process including opportunities to automate or additional validation checks in the development phase to reduce test failures
Lead, guide and monitor the analysis, design, implementation and execution of the test cases, test procedures and test suites
Collaborate with projects to manage traceability of requirements/user stories to test scripts/artifacts

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 test automation, particularly in the context of DevOps
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 with Bitbucket and Azure Repos highly desired

Afișați mai multe

Offer

Responsibilities:

Develop a test plan and assess effort and cost in project planning phase
Writing automation scripts using Python
Identifying quality issues and creating test reports
Provide status updates on testing for projects in development
Identify areas of improvements in the testing process including opportunities to automate or additional validation checks in the development phase to reduce test failures
Lead, guide and monitor the analysis, design, implementation and execution of the test cases, test procedures and test suites
Collaborate with projects to manage traceability of requirements/user stories to test scripts/artifacts

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 test automation, particularly in the context of DevOps
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 with Bitbucket and Azure Repos highly desired

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