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middle data quality engineer for a pharmaceutical healthcare company

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Python.CoreAWS Glue, Amazon Web Services, Lambda, Python
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Armenia, Belarus, Colombia, Georgia, Italy, Kazakhstan, Russia, Ukraine, Uzbekistan, Mexico
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Sorry, the job is expired

Currently we are looking for a remote Middle Data Quality Engineer for a pharmaceutical healthcare company for our team.

The customer is one of the world's leading pharmaceutical healthcare companies. Its principal business is medicines, biologics, vaccines, and consumer and animal products.

responsibilities
  • DQ implementation;
    • Test Automation.
      requirements
      • 2+ years of relevant experience;
        • English level B2+;
          • Experience with Python (automated tests);
            • Knowledge of Robot framework;
              • Understanding of DataQuality approaches.
                nice to have
                • Knowledge of:
                  • Amazon Redshift;
                    • CI/CD;
                      • Docker;
                        • Jenkins.

                          benefits for locations

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                          For you

                          • Medical insurance package for you and your family
                          • Stable income
                          • Paid sick leave days

                          For your comfortable work

                          • 100% remote work forever
                          • Free licensed software
                          • Possibility to work on your own device (BYOD)
                          • Stable workload
                          • Relocation opportunities
                          • Flexible engagement models

                          For your growth

                          • Free trainings for technical, soft, and leadership skills
                          • Access to LinkedIn Learning platform
                          • Language courses
                          • Access to internal and external e-Libraries
                          • Certification opportunities
                          • Skill advisory service
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