Data Quality Assurance Engineer – 3‑Month Contract

About the role

We are looking for a Data Quality Assurance Engineer to join our team on a 3‑month contract. You will ensure the accuracy, completeness, and reliability of data across complex environments, working closely with technical teams to validate ETL processes and data transformations.

Key responsibilities

• Perform data quality validations in Google Cloud Platform (GCP) environments.
• Write medium to complex SQL queries for data verification.
• Test and validate ETL processes and data transformations throughout the data lifecycle.
• 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.
• Strong analytical and problem‑solving skills with a quality‑assurance mindset.
• Full professional proficiency in English, both written and verbal.

Required skills

• SQL (medium to complex queries)
• Big Data environments
• ETL testing
• Data profiling techniques
• Relational and non‑relational databases
• Google Cloud Platform (GCP)
• Airflow or AutoSys (scheduling/orchestration)
• Jira (defect management)
• ALM (test management)
• Python scripting
• Shell scripting