Data Lake Technical Specialist

Data Lake Technical Specialist

RHB Bank Berhad
Kuala Lumpur
3-7 years
Not Specified

Job Description

Key Responsibilities:

  • Lead, implement and drive adoption of advanced analytics capabilities and set the best practices across banking group
  • Develop and implement analytics use case to yield business value from data and insight using big data platform.
  • Extracts and transforms structured and unstructured big and small data to generate features, derive impactful insight, visualise information, and support impactful decision-making
  • Designs and implements algorithms to provide one-off or continuously provided recommendations and support human and / or machine-led interaction and decision-making
  • Applies best practices in modular architecture, loosely coupled design, and agile development / continuous deployment software engineering principles
  • Demonstrates efficiency through contributing to and applying bank-wide best practices in analytics and data
  • Design of data pipeline and implement (ETL) end-to-end data ingestion to Big Data platform.
  • Design, develop, implement, and maintain technical Big Data platform (including real-time Analytics) for data applications and analytics platforms (together with relevant agile team)
  • To champion and drive Data Lake related implementation and initiatives, system integration and campaign tracking automation within GDT-Analytics.
  • Implement features, algorithms, and / or insights into data applications (together with data engineers)
  • To ensure completeness of documentation on Big Data for audit or future references for user and team for support purposes.
  • Work closely with IT Engagement and IT Subject Matter Expert on infrastructure, data, and CR for implementation related to Big Data initiatives.
  • Guide and support team members on Big Data technical knowledge and upskill
  • Data Management & Data Governance for Big Data Platform


  • Bachelor Degree - Degree/Master in Decision Science, Data Science, IT, Computer Science or related discipline.
  • Master's Degree - Degree/Master in Decision Science, Data Science, IT, Computer Science or related discipline.
  • Certified Data Scientist by renowned Data Analytics Bodies (preferred)
  • Minimum 5 years in data lake / big data engineering hands-on experience in implementing big data technology and machine learning technology
  • Advanced level knowledge in industry well known data lake, advance analytics, machines learning tools (e.g. SAS, R, Phyton, Hadoop ecosystem, Real-Time, Rapidminer, Talend, Cloudera, IoT, etc.. )

Our Strategy Statement: RHB Banking Group is a multinational regional financial services provider that is committed to delivering complete solutions to customers through differentiated segment offerings and an ecosystem that supports simple, fast and seamless customer experiences, underpinned by a cohesive and inspired workforce, and relationships built with stakeholders.

Ranked among the top banks in Malaysia and with a significant presence in ASEAN, RHB has strong market leadership in Malaysia across targeted products and segments. With more than 14,000 employees Group-wide, RHB’s presence spans 9 countries in the ASEAN region.

RHB Banking Group is a fully integrated financial services group in Malaysia. The Group’s core businesses are structured into business pillars, namely Group Retail Banking, Asset Management, Group Business & Transaction Banking, Group Wholesale Banking, RHB Singapore, Group Shariah Business, Group International Business and Insurance.

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