As a DWH QA, a person will be responsible for ensuring overall Quality of the ETL
implementations to extract, transform, clean, and move data and metadata so they can be
loaded into a data warehouse, data mart, or operational data store as well as reports.
Required Skills :
5+ years of QA experience on Data Testing
Must have a good understanding and knowledge of ETL and DW Architecture
Must have experience in testing of data pipelines over GCP components (big query,
composer, GCS, Airflow, etc)
Knowledge of basic python programming to understand the python code (for
configurations) created by the Dev team.
Understanding and working experience for testing data with different file extensions
Good at writing complex SQL queries.
Must have good communication, analytical and debugging skills.
Perform extensive Data testing including Data Completeness, Data Transformation &
Data Quality for various data feeds coming from the source.
Experienced in a defect management tool (JIRA Preferred)
Exposure to IT Systems with complex business processes, and planning for
functional testing, impact analysis of changes and regression testing.
Create test scripts, execute test scripts, and write Test Report.
Able to drive project tasks independently from requirement gathering to closure
report and meet the delivery timelines.
Good knowledge of Unix commands.
Willing to work in ET shift.
Good to have - Understanding in CI / CD Framework and GCP Data engineer
Bachelor's degree in Computer Science or related technical field, or equivalent
GCP Certified Data Engineer (preferred)
Excellent verbal and written communication skills