• Monitor data quality across production databases and reporting environments.
• Perform regular data validation and reconciliation checks.
• Identify missing, inconsistent, duplicated, or incorrect data.
• Investigate root causes of data quality issues.
• Coordinate corrective actions with business and technical teams.
• Develop automated controls and validation procedures to prevent recurring data issues.
• Execute controlled data corrections in production and non-production environments.
• Prepare and validate SQL scripts for data remediation activities.
• Support operational teams in resolving data-related incidents.
• Verify data consistency after releases, migrations, and system changes.
• Maintain audit records of performed corrections and data maintenance activities.
• Develop ad-hoc SQL reports based on business requests.
• Support regulatory, operational, and management reporting.
• Extract and transform data from PostgreSQL databases.
• Assist business users with data analysis and interpretation.
• Create reusable reporting datasets and views.
• Analyze query performance and identify bottlenecks.
• Optimize SQL queries, views, and stored procedures.
• Design and maintain database indexes.
• Support database housekeeping and performance improvement activities.
• Participate in database capacity planning and performance monitoring.
• Maintain documentation of data structures, business rules, and correction procedures.
• Contribute to data governance standards and data quality frameworks.
• Document reporting logic and reconciliation procedures.
• Support audits and compliance reviews related to data management activities.

• Bachelor’s degree in Computer Science, Information Systems, Data Management, Software Engineering, or related field.
• 2+ years of experience working with relational databases.
• Experience writing complex SQL queries.
• Experience supporting production systems.
• Experience investigating and correcting data issues.
• Experience preparing operational or management reports.

Financial services, banking, securities, or fintech experience is an advantage.

• Strong practical knowledge of:
• SQL development
• Complex joins and aggregations
• Window functions
• Common Table Expressions (CTE)
• Views and materialized views
• Stored procedures and functions
• Query execution plans
• Database indexing
• Query performance optimization
• Experience with PostgreSQL, pgAdmin or similar database tools, Git,Microsoft Excel, Python, Power BI, Linux
• Strong attention to detail.
• Ability to identify anomalies and inconsistencies in large datasets.
• Ability to perform root cause analysis.
• Ability to diagnose data issues quickly.
• Ability to propose practical remediation solutions.
• Ability to work independently with minimal supervision.