Senior Data Quality Engineer

As a Senior Data Quality Engineer specializing in Telco and Fintech you will be leading the development of a robust data quality framework. You will be conducting meticulous profiling designing cleansing processes and collaborating across teams to ensure data accuracy.

Responsibilities

• Develop and implement a comprehensive data quality framework including standards processes and procedures.
  
• Conduct thorough data profiling to identify anomalies inconsistencies and inaccuracies in datasets. Experience in Telco Fintech is a must.
  
• Design and execute data cleansing processes to rectify data quality issues and improve overall data accuracy.
  
• Implement robust monitoring mechanisms to continuously assess and report on data quality metrics.
  
• Collaborate with crossfunctional teams including data engineers analysts and business stakeholders to understand data requirements and quality expectations.
  
• Define and track key data quality metrics providing regular reports and insights to relevant stakeholders.
  
• Investigate and resolve data quality issues performing root cause analysis to address underlying problems.
  
• Maintain comprehensive documentation of data quality processes standards and remediation strategies.
  
• Develop and implement automated data quality checks and validation processes.
  
• Conduct training sessions to educate team members on data quality best practices and standards.
  

Qualification

• Bachelors or higher degree in Computer Science Information Technology or a related field.
  
• Minimum of 6 years of handson experience in data quality engineering or a related field.
  
• Proficient in using data profiling tools such as Trifacta Talend or equivalent.
  
• Strong SQL skills for data analysis and validation.
  
• Familiarity with scripting languages such as Python or R for data quality automation.
  
• Understanding of data governance principles and practices.
  
• Ability to work effectively in a collaborative crossfunctional team environment (mainly Data Engineers)
  
• Strong analytical and problemsolving skills with attention to detail.
  
• Excellent verbal and written communication skills.