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Data Engineer



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  • Roles and responsibilities

    • Actively engage and participate in different stages of stories from Business Analysis to end of test cycles.
    • Perform various kind of testing: System Test, Functional Test, Integration Test.
    • Defining test strategies, test plans and test cases and implementing improvements therein.
    • Responsible for the execution of the test and reporting on the quality and processes.
    • Fulfilling the QA role within the squad and chapter.
    • Assessing and accepting the delivered software and securing the quality.
    • Guard the quality of the software delivered by the team​.
    • Have a driving role in increase the automation of end-2-end chain tests, in a repetitive fashion. ​
    • Actively busy making automated tests, do some manual testing and increase the test coverage day by day​.
    • Take your responsibility around quality of user stories of the backlog.
    • Make improvements to the testing process.
    • Analyzing results.
    • Liaising with other teams and areas of expertise (developers, business analysts, peer testers, etc.).
    • Taking the testing process to the next level.
    • Adapting the Credit Risk reporting applications to deliver Regulatory, Compliance & Architectural Changes.
    • Improving stability, performance and reliability of the Credit Risk Reporting applications.
    • Comply with the IT security Standards.
    • Create and maintain the development environment and tools used to code solutions.
    • Automate test and make it part of the design, code, build and release process.

    In addition to developing software solutions, you will contribute to:

    • Streamlining the end to end IT operation process of VDD squad.
    • Optimization of the service stability and continuity.
    • Help Credit Risk to make big steps to the future.

    Technical Skills

    Must Haves

    • Excellent knowledge and experience with different test methodologies, test design techniques, and test automation.
    • Experience with data comparison tools
    • Excellent database engineering knowledge of Oracle required.
      • Experienced PL/SQL packages and stored procedures
      • Experienced with query writing.
      • Experienced with query tuning.
      • Experienced with Oracle database setup
    • Excellent knowledge of CI/CD using Azure DevOps
      • Experienced with setting up new pipelines in Azure DevOps
      • Experienced with setting up Ansible playbooks
    • Experience with front end testing : Selenium
    • Experience with BDD (TDD), Cucumber, Rest Assured
    • Experience with white-box testing
    • Good at scripting (Bash, Python, Shell)
    • Basic Knowledge and experience with data warehousing, data models.
    • ETL concepts and tools.
    • Linux OS knowledge;
    • Cloud experience (preferably Azure);

    Nice to Have

    • Experience with performance testing (Jmeter, Gatling)
    • Experience with API testing (Postman, SoapUI),
    • Experience with UAC
    • Familiarity with ELK monitoring
    • Specific Credit Risk testing experience
    • New generation ETL Tools – Azure Data Factory, Apache Kafka AND/OR Spark;
    • Banking or Insurance background;
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