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Data Architect

Data Architect

MaybankKuala Lumpur, Kuala Lumpur, Malaysia
11 hari lalu
Penerangan pekerjaan

Maybank WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Data Architect

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  • 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
  • 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 quality–how 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 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
  • Hadoop-Cloudera
  • ETL / ELT Tools - Trillium, informatica (Any data Modelling or data profiling tools)
  • Good to have (Experience in any of the following) :

  • Pig, MapReduce, Hive, Hbase
  • Big Data Integration, Ingestation Framework (4 years)
  • Data Lab, Data Lake (4 years)
  • ITIL, TOGAF (any one)
  • Seniority level

    Mid-Senior level

    Employment type

    Full-time

    Job function

    Information Technology

    Banking

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    Data Architect • Kuala Lumpur, Kuala Lumpur, Malaysia