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quality engineering team lead for an American pharmaceutical company

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We are currently looking for a remote Quality Engineering Team Lead with 11+ years of experience with Java or Python, good knowledge of SQL and experience in testing of the data ingestion pipelines and data quality to join our team.

The customer is an American pharmaceutical company headquartered in Indianapolis, Indiana, with offices in 18 countries. Its products are sold in approximately 125 countries.

  • Lead testing of the data ingestion pipelines and data quality
    • Perform different levels of automated testing for various system components, as well as integration testing
      • Background in Java and/or Python
        • Experience with SQL
          • Experience in testing of the data ingestion pipelines and data quality
            • Ability to work with fluid and high-level requirements as input for test plan creation
              • Willingness to work independently, without close direct supervision
                • AWS experience
                  • Life Sciences and Big Data experience is a plus
                    • English level: B2+
                      • 11+ years of relevant leadership experience
                        • Deep knowledge in Cloud technologies (AWS)

                          benefits for locations

                          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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