Responsibilities of the Role
- Subject matter expertise in technologies (TD, HD, BDA, R, Python) and Data Management
- Understand and deliver data modeling requirements physical and logical data modeling
- Drive data quality enhancements at scale to solve business problems in a prioritized manner
- Build and support data flow integration between different products increasing the capabilities of our product and expanding its use across the firm
- 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
Hard Skills / Requirements
Technology Infrastructure (HW, SW & Applications hosted) Expertise
- Ability to understand in depth how technology products are delivered as per requirement
Strong Data Architecture experience
- 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
- Ability to use industry standard tools to create logical and physical data models for technology infrastructure and reference data
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)
Data Quality Experience
- Understanding the core concepts of data qualityhow to measure improve
- Understanding what data quality issues pose the greatest risks to the Maybank operations and raising those to governance effectively
Functional Skills:
Must Have (Experience in any of the areas):
- Data Mining. Data modelling, Data Standards
- Data Lineage, Masking, Encrypt/Decrypt
- Data Quality Score Cards, Data Management, Data Governance
- Dashboards, Visualization Scorecards, Sharepoint
Good to have (Experience in any of the areas):
- Data Warehousing (5 years)
- Big Data (4 years)
- Master Data Management, Reference Data Management (4 years)
- Worked as SI/Sa in Financial domain (6 years)
Technical Skills:
Must Have (Certified in anyone of the below but should have multiple skillset):
- R, Python
- Teradata
- Hadoop-Cloudera
- ETL/ELT Tools - Trillium, informatica (Any data Modelling or data profiling tools)
- Data Visualization Tools (Oracle DV, Denodo, Clairvoyant, OEDQ, Paxata)
- Cloud (AWS, Azure, GCP)
- OS - Scripting (Any OS)
Good to have (Experience in any of the following):
- Pig, MapReduce, Hive, Hbase
- Big Data Integration, Ingestation Framework (4 yeras)
- Data Lab, Data Lake (4 years)
- ITIL, TOGAF (any one)
