Job Description

: 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 \xc2\xb7 Subject matter expertise in technologies (TD, HD, BDA, R, Phyton) and Data virtualisation, Data federation and Data ingestion \xc2\xb7 Understand and deliver data modeling requirements \xe2\x80\x93 physical and logical data modeling - Data architecture and design \xc2\xb7 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 \xc2\xb7 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. \xc2\xb7 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 \xc2\xb7 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. \xc2\xb7 Designing, creating, building, and maintaining data pipelines \xc2\xb7 Storing, extracting, organizing and managing huge data volumes in SQL-based databases (such as Teradata, Oracle) as well as NoSQL-based databases \xc2\xb7 Expert skills in writing intermediate to complex SQL queries, Stored Procedures, Functions, Views etc. \xc2\xb7 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 \xc2\xb7 Technology 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. \xc2\xb7 Strong Data Architecture experience o Advanced understanding of reference data, data lake, and other information system solutions

• 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 \xc2\xb7 Information System Design

• Experience delivering or supporting information systems using extract, translate, load (ETL) and publishing methods
• Understanding the right technical solution to represent the data appropriately to meet the client requirement
• Experience with performance tuning of information systems (e.g. streamlining ETLs to run faster)

\xc2\xb7 Data Quality Experience

• Understanding the core concepts of data quality\xe2\x80\x93how to measure improve
• Ability to analyze data for data quality gaps

Understanding what data quality issues pose the greatest risks to the Maybank operations and raising those to governance effectively Job Types: Full-time, Permanent Salary: RM10,000.00 - RM13,000.00 per month Benefits:

• Health insurance
• Opportunities for promotion
• Professional development

Schedule:

• Day shift
• Flexible hours
• Monday to Friday

Supplemental pay types:

• Performance bonus
• Yearly bonus