Data Validation QA
4 weeks ago
Location: Remote
Experience: Minimum 8 years
Work Hours: 02:00 PM to 11:00 PM IST
Job Description:
We are seeking a proficient Data Validation QA professional with a robust background in Data Validation and Business Intelligence (BI). As a Data Validation QA Specialist, you will play a pivotal role in ensuring the accuracy, integrity, and consistency of data within our organization's databases and systems. This role demands a keen eye for detail, strong analytical skills, and the ability to collaborate effectively with cross-functional teams.
Responsibilities:
Develop and implement data validation rules and procedures to maintain the accuracy and integrity of data across different environments.
Collaborate closely with developers to integrate data validation checks into back-end systems and processes.
Design and execute automated tests to validate data quality and identify anomalies or errors.
Analyze data validation results, troubleshoot issues, and implement corrective actions to address root causes.
Develop and maintain documentation related to data validation processes, including validation rules, test cases, and procedures.
Work collaboratively with cross-functional teams to establish data quality standards and requirements.
Monitor data quality metrics and trends, providing recommendations for continuous improvement.
Stay abreast of industry best practices and emerging technologies in data validation and quality assurance.
Qualifications:
Bachelor's degree in computer science, information technology, or a related field.
Proven experience in back-end data validation, data quality assurance, or similar roles.
Strong understanding of database concepts, SQL, data modeling, and ETL processes.
Proficiency in analyzing complex data sets and troubleshooting data-related issues.
Experience with data validation tools and techniques, such as regular expressions, data profiling, and data cleansing.
Proficiency in scripting or programming languages (e.g., Python, Java) for automation.
Excellent analytical and problem-solving skills with meticulous attention to detail.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Experience with Agile development methodologies is advantageous.
Familiarity with reporting platforms, data visualization tools, and SQL data warehouse environments is highly desirable.
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