Data Quality Assurance Engineer (Temporary)

Applaudo Studios

3d

About The Position

This role is for a Data Quality Assurance Engineer who enjoys ensuring the accuracy, completeness, and reliability of data across complex data environments. The engineer will have hands-on experience validating high-volume datasets, testing ETL processes, and using SQL to identify data inconsistencies and verify expected results. The role requires an analytical, detail-oriented individual comfortable working across databases, Big Data environments, and backend systems. The engineer will bring a strong quality mindset to data-driven solutions and collaborate with technical teams to identify defects, validate data integrity, and continuously improve testing practices. This role operates under a 3-month contractor model.

Requirements

• 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.

Nice To Haves

• Experience with Python or Shell scripting languages for verifying analytics events.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree