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Data Architect

Kuala Lumpur, Kuala Lumpur, Malaysia
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Data Architect - 128145
Description

Role and Responsibilities

  • Design, develop and deliver the building of data pipelines across various integration points for the global Financia Data Repository (FDR)
  • Develop, confirm pipeline tools for ingestion, transformation, and distribution, based on fact finding and assessment of existing solutions within Prudential frameworks
  • Implement data models, ensuring scalability, performance, and reliability
  • Collaborate with cross-functional teams to understand data requirements and provide technical advice
  • Select appropriate tools and technologies for data storage, processing, and analysis
  • Optimize data infrastructure for cost-effectiveness and performance – working with Develops team to
  • Ensure data security, compliance, and governance standards are met
  • In-depth knowledge of the principles and practices of good systems design

Qualifications

  • Experience Level: Proven experience in delivering enterprise data platform projects in finance domain
  • Education Level: Bachelor’s degree in a relevant field; advanced degree preferred
  • Personal Attributes: Strong analytical skills, leadership capabilities, effective communication, and problem-solving ability
  • Specific Skills: Deep technical knowledge in data engineering, database management and data warehousing technologies. (e.g. SQL, Python, Spark, Azure stack, Databricks)
  • Strong understanding of distributed computing frameworks like Hadoop, Spark, or Flink.
  • Knowledge of database technologies like SQL databases and NoSQL databases
  • Familiarity with data integration tools, data pipeline orchestration tools, and workflow management systems

Mandatory skills

  • Strong background in data engineering, with experience architecting complex data systems in large-scale environments
  • Experience in successful delivery of complex finance data related projects end to end
  • Experience in Agile and DevSecOps delivery, quality practices, techniques, test automation and tools required for all aspect of data engineering/ data platforms
  • Experience with cloud-based technologies incl. Microsoft Azure, Databricks, Delta Lake
  • Experience in data ingestion tools of CDC, ADF and Qlik Replicate
  • Experience in adoption of data governance frameworks using Collibra and Unity Catalog
  • Experience with JIRA, Confluence, Github, Bitbucket and other similar developer tools
  • Experience in using PowerBI for data visualization and analytics, supporting a data-enabled organization
Primary Location
Kuala Lumpur, Kuala Lumpur, Malaysia
Job Type
Experienced
Years of Experience
8
Travel
No
Job Posting
10/07/2024

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