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Middle AQA Engineer

Middle AQA Engineer

AvengaArgentina
Hace 18 días
Tipo de contrato
  • Quick Apply
Descripción del trabajo

This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.

This is the job

In Argentina within the Data  industry, we are actively seeking a professional to strengthen our team.

This is the team

In your role you'll become a vital member in a team of skilled professionals. Your primary responsibility will involve develop and execute test plans for data pipelines, ETL processes, and enterprise data platforms.. Here you will have the opportunity to make a meaningful contribution to global technological progress while at the same time advancing your own skills, and career.

This is you

  • 3+ years of experience as a QA Engineer or SDET.
  • Strong programming and automation skills in Python and SQL.
  • Experience testing high-volume data processing systems and data pipelines.
  • Hands-on experience with databases such as Postgres and data warehouses such as Snowflake.
  • Knowledge of cloud platforms such as AWS, GCP, or Azure.
  • Experience with version control systems (VCS) such as GitHub or GitLab.
  • Strong problem-solving skills and attention to detail.

Nice-to-have skills :

  • Candidates should be prepared to perform not only automation testing but also manual testing (however, the focus is on automation).
  • AQA position with a specialization in Data / AI / ML.
  • This is your role

  • Develop and execute test plans for data pipelines, ETL processes, and enterprise data platforms.
  • Develop and maintain test automation frameworks with Python and SQL.
  • Validate data integrity, transformations, and performance on large data sets.
  • Perform functional, integration, and performance testing for data warehouses and databases.
  • Identify, analyze, and document defects, working closely with data engineers to resolve issues.
  • Ensure integration of CI / CD pipelines for automated data testing.
  • Collaborate with cross-functional teams, including data and product engineering teams.
  • W e take pride in the diverse skills and character of our teams, welcoming everyone to apply and contribute to our collective strength .

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