Job Overview:

We are seeking a meticulous and detail-oriented Senior Data Quality Analyst to join our client's team - a US based Company. The ideal candidate will be responsible for ensuring the quality and accuracy of data in various systems and applications. As a Senior Data Quality Analyst, you will work closely with data engineers, analysts, and developers to validate data pipelines, ETL processes, and database systems to maintain data integrity. This role is crucial in identifying data discrepancies and ensuring data is correct, reliable, and complies with defined business rules.

Key Responsibilities:

• Data Validation & Testing:
  • Design and execute test plans, test cases, and test scripts to validate data accuracy, completeness, consistency, and integrity.
  • Verify data correctness across different systems and applications, including databases, data lakes, data warehouses, and cloud environments.
  • Conduct manual and automated data testing, comparing expected results with actual results.
• ETL & Data Pipeline Testing:
  • Test data pipelines and ETL processes to ensure proper data transformation, load, and storage.
  • Validate data mapping and transformation rules based on business requirements.
• SQL Querying & Data Analysis:
  • Write complex SQL queries to extract and analyze data for testing purposes.
  • Compare source and target data sets to verify the accuracy and consistency of data migration and integration processes.
• Data Quality Assurance:
  • Collaborate with data engineers, business analysts, and developers to understand business requirements and ensure proper data quality controls are implemented.
  • Identify, report, and track data-related issues or anomalies in the system and collaborate to resolve them.
  • Develop and maintain data quality reports and dashboards to track data integrity issues.
• Automation & Tools:
  • Leverage data testing tools and automation frameworks to improve the efficiency and effectiveness of data quality testing.
  • Implement automated test scripts to perform regression testing for data changes.
• Documentation & Reporting:
  • Document data validation processes, test results, and issue logs in a clear and structured manner.
  • Provide regular reports on data quality metrics, test outcomes, and potential risks to stakeholders.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or related field.
• Must have at least 5+ years of experience.
• Proven experience as a Data QA Tester, Data Analyst, or similar role.
• Strong knowledge of SQL and the ability to write complex queries for data validation.
• Experience with ETL testing, data pipelines, and data warehousing systems.
• Familiarity with data testing tools such as QuerySurge, Informatica DVO, or Talend.
• Knowledge of data quality concepts, data profiling, and cleansing techniques.
• Experience with automated testing frameworks is a plus (e.g., Selenium, Python scripts).
• Strong attention to detail, problem-solving skills, and analytical thinking.
• Ability to work independently and as part of a collaborative team.

Preferred Skills:

• Experience with cloud data platforms such as AWS, Azure, or Google Cloud.
• Understanding of data governance and data management principles.
• Familiarity with these technologies such as DBT, Snowflake, Airflow/Airbyte, AWS RDS, PowerBI, Google GBQ, and Looker.

Benefits:

• Competitive salary
• Provide laptop for working
• Work 100% remote
• Health and social insurance as per Vietnamese labor law
• 12 paid annual leave days
• Annually performance review
• A collaborative and supportive work environment where your contributions make a real impact