Data Quality Assurance Engineer (Temporary)

About the role

You will be responsible for ensuring the accuracy, completeness, and reliability of data across complex data environments. The position focuses on validating high‑volume datasets, testing ETL processes, and using SQL to verify data integrity within Google Cloud Platform. This is a 3‑month contractor role.

Key responsibilities

• Perform data quality validations in GCP environments.
• Write medium to complex SQL queries for data verification.
• Test and validate ETL processes and data transformations throughout the data lifecycle.
• Validate backend applications, databases, and Big Data tools following best practices.
• Verify analytics event capture using SQL, Python, or Shell scripts.
• Develop, maintain, and execute regression automation for GUI applications, backend services, and ETL processes.
• Identify, document, track, and communicate defects.
• Create and maintain test plans, test cases, and QA documentation.
• Collaborate with technical teams to investigate data‑quality issues and support defect resolution.

Required profile

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering or equivalent experience.
• At least 1 year of professional experience in Big Data and data quality testing.
• Hands‑on experience testing ETL processes and validating data throughout its lifecycle.
• Full professional proficiency in English, both written and verbal.

Required skills

• SQL for data validation and testing.
• Experience with relational and non‑relational databases.
• Big Data environments and data profiling techniques.
• Scheduling/orchestration tools such as Airflow or AutoSys.
• Test management tools like ALM and defect tracking tools such as Jira.
• Python or Shell scripting for data verification.
• Regression automation for GUI, backend services, and ETL processes.
• Google Cloud Platform (GCP) data services.