Responsibilities of the Role \xe2\x80\xa2Subject matter expertise in technologies (TD, HD, BDA, R, Phyton) and Data virtualization, Data federation and Data ingestion \xe2\x80\xa2Understand and deliver data modeling requirements \xe2\x80\x93 physical and logical data modeling - Data architecture and design \xe2\x80\xa2Drive data quality enhancements at scale to solve business problems in a prioritized manner, experience in specific tools like Data Mgmt, Data process, police, Operations data vs business data \xe2\x80\xa2Build and support data flow integration between different products increasing the capabilities of our products and expanding its use across the firm, build once, and use multiple times. \xe2\x80\xa2Ability to understand and deliver client requirements end to end for reference data and data lake aligned use cases. Ensure proper risk management process is adhered too, to mitigate risk exposure for the firm \xe2\x80\xa2Conduct and manage complex, strategic analyses of data environments, data architectures, operating models, information management processes, data related applications, infrastructure, and data disciplines to develop structured data modelling solutions. \xe2\x80\xa2Designing, creating, building, and maintaining data pipelines \xe2\x80\xa2Storing, extracting, organizing and managing huge data volumes in SQL-based databases (such as Teradata, Oracle) as well as NoSQL-based databases \xe2\x80\xa2Expert skills in writing intermediate to complex SQL queries, Stored Procedures, Functions, Views etc. \xe2\x80\xa2Design, develop, and implement ETL solutions using Informatica or ODI application. Role based out of KL-Malaysia will have 8-10 years of experience in Data Management and Data Strategy general understanding of data management activities hands on experience with managing Data Science Enablement led use case based aisgile implementation of data strategy across functions in MNCs advance knowledge of visualisation tools and techniques expertise in descriptive, predictive, and inquisitive analytics working knowledge of cognitive analytics and robotics automation understanding of data science workflow and productivity issues related to data ability to code in R and/or Python data distribution capabilities through API worked on semantically curated Data APIs to enable complex data API Mashups Responsibilities of the Role

• Subject matter expertise in technologies (TD, HD, BDA, R, Phyton) and Data virtualisation, Data federation and Data ingestion

• Understand and deliver data modeling requirements \xe2\x80\x93 physical and logical data modeling - Data architecture and design

• Drive data quality enhancements at scale to solve business problems in a prioritized manner, experience in specific tools like Data Mgmt, Data process, police, Operations data vs business data

• Build and support data flow integration between different products increasing the capabilities of our products and expanding its use across the firm, build once, and use multiple times.

• Ability to understand and deliver client requirements end to end for reference data and data lake aligned use cases. Ensure proper risk management process is adhered too, to mitigate risk exposure for the firm

• Conduct and manage complex, strategic analyses of data environments, data architectures, operating models, information management processes, data related applications, infrastructure, and data disciplines to develop structured data modelling solutions.

• Designing, creating, building, and maintaining data pipelines

• Storing, extracting, organizing and managing huge data volumes in SQL-based databases (such as Teradata, Oracle) as well as NoSQL-based databases

• Expert skills in writing intermediate to complex SQL queries, Stored Procedures, Functions, Views etc.

• Design, develop, and implement ETL solutions using Informatica or ODI application

Should be able to quickly learn about different data systems used in the organization Hard Skills / Requirements \xe2\x80\xa2Technology Infrastructure Expertise o Ability to understand in depth how technology products are delivered as per requirement. o Ability to understand what data needs to be collected and how it can be collected to meet the Maybank requirements. \xe2\x80\xa2Strong Data Architecture experience o Advanced understanding of reference data, data lake, and other information system solutions o Experience integrated multiple systems together to create an intelligent and resilient information system solution o Ability to use industry standard tools to create logical and physical data models for technology infrastructure and reference data \xe2\x80\xa2Information System Design o Experience delivering or supporting information systems using extract, translate, load (ETL) and publishing methods o Understanding the right technical solution to represent the data appropriately to meet the client requirement o Experience with performance tuning of information systems (e.g. streamlining ETLs to run faster) \xe2\x80\xa2Data Quality Experience o Understanding the core concepts of data quality\xe2\x80\x93how to measure improve o Ability to analyze data for data quality gaps o Understanding what data quality issues pose the greatest risks to the Maybank operations and raising those to governance effectively Job Type: Full-time Salary: From RM4,806.13 per month Schedule:

• Day shift