QA Engineer

Position Overview:

As a QA engineer at Shyftlabs, you will collaborate and partner with data operations, data engineering teams and business partners to ensure all QA (dev, user request etc.) requests are closed within defined SLAs, root cause analysis, get your hands to understand all technical details, incorporate best practices in place for team to learn, continuously improve to help promote success for Shyftlabs.

Qualifications :

Experience with quality assurance methodologies including smoke testing, regression testing, UAT testing, functional testing, integration testing, test automation, etc.

Strong experience in SQL, and ETL (Extract transform Load) testing.

Strong Experience working in Agile (Scrum/Kanban) teams distributed across geography.

Knowledge of Python programming language.

Excellent verbal and written communication skills. Ability to lead team.

Ability to identify complex problems and effectively document and communicate them to the development team.

Experience in Test Automation tools like Selenium or Robot Automation Framework.

Working knowledge of different unstructured file types.

Knowledge of AWS – S3/SQS.

Knowledge of cloud-based data warehouse like Snowflake.

Preferred Skills :

You have a minimum of 3 years’ experience and hands on hands-on experience on

quality assurance (functional, integration, UAT testing).

2+ years of test automations.

Working knowledge of ETL pipelines and has a strong understanding of dimensional

modelling and data warehousing methodologies.

Is passionate about data and the insights that large amounts of data sets can provide.

Knowledge of Jira, ServiceNow experience helpful.

Knowledge of BI/reporting tools with Business Objects experience helpful.

Knowledge of retail industry domain is very helpful.

We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.