Senior Manager, Data Engineer at KCB Bank Kenya

Job Description

Senior Manager, Data Engineer at KCB Bank Kenya

KEY RESPONSIBILITIES: MUST NOT BE MORE THAN 10

• Collaborate with other Technology staff to ensure smooth and reliable operation of software and systems for fulfilling business objectives and processes.
• Implement and adhere to regular systems maintenance policies and procedures, including change request mechanisms and update schedules to ensure optimum uptime and service availability.
• Participate in system acquisition process; propose and create system design models, specifications, diagrams, charts and implementation roadmaps to provide strategic direction to the business.
• Administer the assigned Systems at Application level and connected databases, define and optimize database structures, content and processing flows through appropriate Data Definition, Data Manipulation and Data Control Languages.
• Perform recovery and testing of systems and processes in accordance with the bank’s disaster recovery and business continuity strategies.
• Create and maintain documentation as it relates to system configuration, mapping, and processes.
• Create and maintain best practice policies and procedures for business users; ensuring that there are adequate controls around that all data improvements are managed effectively and meet the needs of the organization.
• Responsible for designing and implementing ETL architecture to meet corporate data management needs and business functional requirements, ensuring that solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity.
• Recognize and adopt best practices in reporting, analysis, ETL data integrity, test automation, data quality validation and documentation.
• Support, develop and maintain ETL and data warehouse objects and processes in a large Data warehouse of Terabyte scale.

DAILY RESPONSIBILITIES: NOT MORE THAN 5 OF THE MOST TYPICAL

• Design and implement efficient data management systems
• Develop, maintain, and test infrastructures for data generation and storage into an enterprise data warehouse.
• Ensure digital databases and archives are protected from security breaches and data losses.
• Troubleshoot data-related problems and authorize maintenance or modifications during ETL process.
• Maintain the integrity and validity of data throughout the ETL processing cycle by implementing data reconciliation processes and error handling based on source to target data comparisons.

CHALLENGES: GIVE ONE EXAMPLE OF THE CHALLENGES ENCOUNTERED IN THIS JOB

• The big number of Technology systems may at times present a huge requirement of user interventions especially around uniform tasks like Audit issues closure and BCM requirements.
• The current data extraction tools have deficiencies that at times affect timely provision of reports. This presents a challenge with prompt business data reconciliation demands and continuous systems’ availability increasing by the day.
• As such, downtimes and late submission of reports is a challenge that requires continuous management through proactive intervention and monitoring of processes to ensure timely availability.
• An accelerated learning rigor is required for this role due to the number of systems assigned and which the assignee might be encountering for the first time.

Senior Manager, Data Engineer at KCB Bank Kenya