Data Quality Assurance Engineer (Temporary)

Applaudo; Bogotá; Presencial; COP 66.960.000 - 100.440.000; A tiempo parcial

Descripción de la vacante

Applaudo is seeking a Data Quality Assurance Engineer on a 3-month contractor basis to ensure the accuracy, completeness, and reliability of data across our data platforms, including GCP. You will design and execute tests for ETL processes, write SQL queries, validate data in Big Data environments, and collaborate with engineers to resolve defects.

The role requires 1+ years in data quality testing, strong SQL, and English proficiency.

Formación

• Bachelor’s Degree in CS/SE/IS/Data Engineering or equivalent.
• 1+ years experience in Big Data and Data Quality Testing.
• Experience with data profiling of high-volume data.
• Hands-on ETL testing and data lifecycle validation.
• Strong SQL for data validation and complex queries.
• Knowledge of relational and non-relational databases and data integrity.
• Experience with scheduling/orchestration tools (Airflow, AutoSys).
• Experience with test management tools (ALM, Jira).
• Experience creating and executing test plans and test cases.
• Defect tracking and communication during testing lifecycle.
• Strong analytical, problem-solving and communication; English proficiency.

Responsabilidades

• Perform data quality validations in Google Cloud Platform environments.
• Write medium to complex SQL queries for validation.
• Test and validate ETL processes and data transformations.
• Test backend applications, databases, and Big Data environments.
• Verify analytics events capture in file systems or databases using SQL or Python/Shell.
• Develop, maintain, and execute regression automation for GUI apps, backend services, and ETL processes.
• Identify, document, track, and communicate defects discovered during testing.
• Create and maintain test plans and test cases.
• Collaborate with technical teams to investigate data-quality issues and support defect resolution.

Conocimientos

SQL for data validation

Data profiling

ETL testing

Big Data

Airflow

Jira

ALM

Test planning

Data integrity

English proficiency

Communication skills

Educación

Bachelor’s Degree in Computer Science or related field

Herramientas

Airflow

AutoSys

Jira

ALM

Descripción del empleo

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.