Data Quality Assurance Engineer (Temporary)
Summary
The Data Quality Assurance Engineer will validate high-volume datasets, test ETL processes, and ensure data integrity within Google Cloud Platform environments. This is a 3-month contract role requiring strong SQL skills and experience with data orchestration tools.
About You
You are a Data Quality Assurance Engineer who enjoys ensuring the accuracy, completeness, and reliability of data across complex data environments. You have hands-on experience validating high-volume datasets, testing ETL processes, and using SQL to identify data inconsistencies and verify expected results.You are analytical, detail-oriented, and comfortable working across databases, Big Data environments, and backend systems. You bring a strong quality mindset to data-driven solutions and enjoy collaborating with technical teams to identify defects, validate data integrity, and continuously improve testing practices.
Note: This role operates under a 3-month contractor model.
You Bring to Applaudo the Following Competencies:
- Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field is desired, or equivalent professional experience.
- 1+ years of professional experience in Big Data and Data Quality Testing.
- Experience applying data profiling techniques when working with high volumes of data.
- Hands-on experience testing ETL processes and validating data throughout the data lifecycle.
- Strong experience with SQL for data validation and testing purposes, including writing medium to complex queries.
- Solid understanding of relational and non-relational databases, including data integrity verification.
- Experience working with scheduling and orchestration tools such as Airflow, AutoSys, or similar technologies.
- Experience working with test management tools such as ALM and requirement/defect management tools such as Jira.
- Experience creating, documenting, maintaining, and executing test plans and test cases.
- Experience documenting, tracking, and communicating defects throughout the testing lifecycle.
- Strong analytical and problem-solving skills with a solid quality assurance mindset.
- Excellent written and verbal communication skills.
- Full Professional English proficiency.
You Will Be Accountable for the Following Responsibilities:
- Perform data quality validations to ensure the accuracy, completeness, and integrity of data processing within Google Cloud Platform (GCP) environments.
- Write medium to complex SQL queries to perform data validation and verify expected results.
- Test and validate ETL processes and data transformations throughout the data lifecycle.
- Perform testing and verification of backend applications, databases, Big Data environments, and related tools following established best practices.
- Verify the capture of analytics events in related file systems or databases using SQL or scripting languages such as Python or Shell.
- Develop, maintain, and execute regression automation for GUI applications, backend services, and ETL processes.
- Identify, document, track, and communicate defects discovered during testing.
- Create and maintain test plans, test cases, and supporting QA documentation.
- Collaborate with technical teams to investigate data-quality issues and support defect resolution.