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 cross-functional 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

• Bachelor's or higher degree in Computer Science, Information Technology, or a related field. 
  
• Minimum of 6 yearsof hands-on 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, cross-functional team environment (mainly Data Engineers) 
  
• Strong analytical and problem-solving skills with attention to detail. 
  
• Excellent verbal and written communication skills.