Temukan Lebih Dari 10ribu+
Lowongan Kerja Di Indonesia

Data Engineering

• Centralized customer data management for Consumer Banking in DWH and Big data to ensure proper documentation on control regarding sensitive/critical data handling
• Implementing ETL process includes building ETL Jobs ,Scheduling and Monitoring.
• Monitoring performance and advising any necessary infrastructure changes
• Implementation of good server and IT infrastructure management by providing a robust yet secured data storage, management, and distribution
• Managing Big Data Cloud Platform
• Conducts business analysis, process mapping, and data engineering where needed while working closely with the Business, Technology and Support Partners.
• Formulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data
• Preparation and regular update for specialized datamart for each Decision Management & Advance Analytics functions to accelerate processing time and to minimize disclosure of customer sensitive information
• Continued to enhance datamart and available information through close interaction with business segments, products and channels team
• Preparation of various reports, automation, and business triggers/alerts to support business units by highlighting few key business indicator trend
  

Busines Performance and Management

• Implement ed of maker-checker mechanism according to existing data governance and other procedures (SOP) for promoting data accuracy
• Involve d in the strategic initiative project within Decision Management & Advance Analytics such as: Big Data Implementation and Full CRM Implementation and to lead the working team for UR preparation, conducting UAT testing, and provide assurance for implementation
  

Regulatory Compliance

• Regular review in accordance to data security guidlines and adequate control management
• Active participation of related projects involving Decision Management & Advance Analytics including process improvement review for existing workflow for better turnaround and improve efficiency and effectivity
• Ensure data security, integrity, and distribution according to existing regulation regarding data management, retention, and information security
• Full compliance to data management, security, and distribution