Data Quality Assurance Engineer (Temporary)
- Role
- Unknown
- Employment
- Contract
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No BS summary
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.
Required skills
Required languages
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.
1+ years of professional experience in Big Data and Data Quality Testing. Hands-on experience with ETL testing, data profiling, and high-volume data validation. Strong SQL skills for data validation and testing. Experience with relational and non-relational databases. Experience with scheduling/orchestration tools such as Airflow or AutoSys. Experience creating and executing test plans and test cases. Full Professional English proficiency.
About Us
We Are Engineered Different.
At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.
We are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication . These define how we work, how we support one another, and how we hold ourselves accountable.
Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.
What you'll do
- 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 issues 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 issue resolution.
What they require
- 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.
At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.