Data Quality Engineer

Your Profile

Essential skills/knowledge/experience:

• An enthusiastic mentor for the team to adopt automation as a definition of done.
• Hands-on experience with Data Testing either using Python or Pyspark.
• Deep understanding of data test concepts primarily inclined towards ETL.
• Experience with ETL/DWH testing and SQL (any RDBMS).
• Previous experience with any DB, preferably Oracle.
• Ability to read, understand, and alter stored procedures.
• Strong experience in BDD with Cucumber or similar framework.
• Experience with Azure DevOps in integrating automated testing into a CI/CD pipeline using Jenkins or GitLab runner.
• Good Knowledge in GCP Storage Buckets, BigQuery, Dataflow and Cloud Function. (Any Cloud).
• Hands-on experience with one of more programming languages (Java or JavaScript).
• Experience with non-functional testing with JMeter or similar.
• Proven experience and ability to create best practices and policies to improve quality at program level.
• Strong technical skills and ability to solve Quality Engineering technical problems.
• Excellent communication skills and should be able to manage client stakeholders and act as a liaison between QE team and clients.
• Strong problem-solving skills and managing multiple stakeholders.
• Experience managing a mid-size team of QAs working on multiple products.
• Excellent data analysing and review skills.
• Experience of working in an agile environment and handling the role of QA in agile ceremonies.
• Knowledge of Jira and Zephyr for Test Management.
• Proficient Testing experience.

Desirable skills:

• Experience with automating tests within Cloud Platform.
• Experience of software development or data engineering.
• Previous experience leading test automation strategy and mentoring testers on the automation testing process.