Job responsibilities

• Work closely with Data owners / Operations teams / data asset management teams on the DQ rules and measures required and implement them though the DQ framework 
• Develop predictive models and ML algorithms & statistical models for anomalies and outliers deduction Translate data insights to actionable business strategies 
• Create and maintain DQ rules backlog with prioritization and schedule agreed with stakeholders
• Communicate data quality issues and solutions to both technical and non-technical stakeholders.
• Ensure compliance with applicable control requirements.

Required qualifications, capabilities, and skills

• Strong understanding of data governance principles  -  Metadata, Data Linage , Data Quality , Data Security & Privacy management
• Proficiency in ANSI SQL , Python & statistical models
• Experience working in large scale corporate data ecosystems, resolving inconsistencies and challenges in the data.
• Experience in understanding and following the Agile methodology.

Preferred qualifications, capabilities, and skills

• Bachelors in computer engineering  
• Data Science – Certifications 
• Familiarity with machine learning and its applications.
• Ability to deliver high quality results under tight deadlines