JOB DESCRIPTION:
Data Processing and Management
- Oversee the data ingestion, transformation, and integration processes to ensure the timely and accurate flow of data into various systems and databases.
- Monitor data pipelines and perform troubleshooting to address any issues or inconsistencies in data flow.
- Implement data governance policies and practices to maintain data quality, security, and compliance with relevant regulations.
Troubleshooting and Root Cause Analysis
- Receive and manage incident reports from end-users, IT teams, or automated monitoring systems.
- Assess the severity and impact of each incident and prioritize responses accordingly.
- Coordinate incident response activities, ensuring that appropriate resources are engaged for resolution.
- Track and document the entire incident lifecycle, from identification to resolution, in an incident management system.
Database Management
- Administer and manage databases, including performance monitoring, data archiving, and backup strategies.
- Optimize database performance to ensure efficient data retrieval and storage.
Automation and Process Improvement
- Identify opportunities to automate data-related processes and tasks, streamlining data operations and improving efficiency.
- Work with cross-functional teams to implement process improvements, data standardization, and data integration initiatives.
Collaboration and Communication
- Collaborate with data engineering, data science, and business intelligence teams to align data processes with business needs.
- Communicate data-related updates and issues to relevant stakeholders in a clear and concise manner.
- Communicate incident status updates to relevant stakeholders, including end-users, management, and business partners.
QUALIFICATIONS:
- Bachelor's degree in Computer Science, Information Systems, Business Management or related fields
- 7+ years of Data Operation Manager or related technical experience in a competitive service industry preferably in banking or financial services Experience with SQL, with demonstrated ability to derive insights through efficient SQL queries
- Understanding with ETL processes
- Knowledge of database design and data mapping, data processing is preferred
- Excellent problem-solving skills with strong communication, presentation, and writing skills for both technical and non-technical audiences
- Knowleadge of Azure Cloud Platform
- Knowledge of Scrum, Agile
