Data Validation QA

4 weeks ago


india SourceBae Full time

Job Title: Data Validation QA

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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