Contract Data Quality Engineer: ETL, SQL & Validation

Applaudo; Colombia; Presencial; COP 66.960.000 - 111.600.000; Jornada completa

Descripción de la vacante

Applaudo is seeking a Data Quality Assurance Engineer to ensure the accuracy, completeness, and reliability of data across complex environments, including Big Data and backend systems. You will validate high-volume data, test ETL processes, and write SQL queries to verify results.

You will collaborate with data engineers and developers to identify defects, document test plans, and drive improvements in testing practices. This is a 3-month contractor role with scope to extend based on performance.

Formación

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or related field or equivalent professional experience.
• 1+ years of experience in Big Data and Data Quality Testing.
• Experience applying data profiling techniques for high volumes of data.
• Hands-on experience testing ETL processes and validating data across the data lifecycle.
• Strong SQL skills for data validation and testing.
• Solid understanding of relational and non-relational databases and data integrity verification.
• Experience with scheduling/orchestration tools such as Airflow or AutoSys.
• Experience using test management tools such as ALM and Jira.
• Experience creating, documenting, maintaining, and executing test plans and test cases.
• Experience documenting, tracking, and communicating defects throughout the testing lifecycle.
• Full Professional English proficiency.

Responsabilidades

• Perform data quality validations to ensure the accuracy, completeness, and integrity of data processing in Google Cloud Platform environments.
• Write medium to complex SQL queries to validate data and verify results.
• Test and validate ETL processes and data transformations across the data lifecycle.
• Verify backend applications, databases, Big Data environments, and related tools following best practices.
• Verify the capture of analytics events in file systems or databases using SQL or Python/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 QA documentation.
• Collaborate with technical teams to investigate data-quality issues and support defect resolution.

Descripción del empleo

Applaudo is seeking a Data Quality Assurance Engineer to ensure the accuracy, completeness, and reliability of data across complex environments, including Big Data and backend systems. You will validate high-volume data, test ETL processes, and write SQL queries to verify results.

You will collaborate with data engineers and developers to identify defects, document test plans, and drive improvements in testing practices. This is a 3-month contractor role with scope to extend based on performance.