Data Engineers.2

CIMB

Data Engineers.2

CIMB

  • Indonesia > >Indonesia
  • FULL_TIME
  • 2022-08-25T00:20:59Z –> 2022-11-23T00:20:59Z

Description

Job Description:

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 Platform based on Cloudera distribution
  • 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 DM 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
  • Implemented of maker-checker mechanism according to existing data governance and other procedures (SOP) for promoting data accuracy
  • Involved in the strategic initiative project within Decision Management such as: Big Data 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 guidelines and adequate control management
  • Active participation of related projects involving DM 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
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