Description

Manage assessment, governance, and fitness-for-purpose of critical data assets within a large financial ecosystem.

Responsibilities

• Develop and implement data quality checks, profiling, and analysis to identify anomalies, inconsistencies, and missing values.
• Manage day-to-day configuration and maintenance of the data catalogue and data quality platform, including applying patches and upgrades.
• Collaborate with data owners, scientists, and developers to define requirements and resolve data integrity issues.
• Build integrations for new data sources and develop customizations such as API integrations, dashboards, and workflows.
• Execute root cause analysis to understand data issues and implement cleansing and correction procedures.

Required Skills

• 10+ years of experience in IT.
• 7+ years of hands-on experience in Data Quality, Data Governance, and DQ Stewardship.
• Proficiency in SQL, Python, and Java.
• Experience with major DQ platforms such as Informatica or Ataccama.
• Strong understanding of data quality concepts, metrics, and best practices.
• Experience designing and executing data profiling and root cause analysis.
• Ability to develop data quality monitoring dashboards, scorecards, and reports.
• Experience working with RDBMS, ETL, and MDM processes.

Preferred Skills

• Master's degree in Computer Science, Information Systems, Business, or Engineering.
• Experience in the Financial Services or Banking industry.

Key Skills

Education

Master's degree