AVP, Data Integration - Kuala Lumpur - Maybank

    Maybank
    Maybank Kuala Lumpur

    5 days ago

    Default job background
    Description

    AVP, Data Integration


    Maybank is seeking an experienced AVP, Data Integration to join our team.

    The ideal candidate will have a strong background in designing and implementing ETL systems using pySpark, Nifi, and Hadoop.

    • Design and implement operationally stable, efficient, and automated ETL systems that are scalable and aligned with the enterprise architecture.
    • Collaborate with internal and external teams to define requirements for data integrations, specifically for Data Warehouse/Data Marts implementations.

    Responsibilities of the Role

    • Review business and technical requirements to ensure the data integration platform meets specifications.
    • Apply industry best practices for ETL design and development.
    • Produce technical design documents, system testing plans, and implementation documentation.
    • Conduct system testing: execute job flows, investigate and resolve system defects, and document results.
    • Work with DBAs, application specialists, and technical support teams to optimize ETL system performance and meet SLAs.
    • Assist in developing, documenting, and applying best practices and procedures.
    • Strong SQL writing skills are required.
    • Familiarity with ETL tools such as pySpark, NiFi, Informatica, and Hadoop is preferred.
    • Understanding of data integration best practices, including master data management, entity resolution, data quality, and metadata management.
    • Experience with data warehouse architecture, source system data analysis, and data profiling.
    • Ability to work effectively in a fast-paced, adaptive environment.
    • Financial domain experience is a plus.
    • Ability to work independently and communicate effectively across various levels, including product owners, executive sponsors, and team members.
    • Experience working in an Agile environment is advantageous.

    Qualifications

    • Bachelor's Degree in Computer Science, Information Technology, or equivalent.
    • Over 5 years of total work experience, with experience programming ETL processes using Informatica, NiFi, pySpark, and Hadoop.
    • At least 4 years of experience in data analysis, profiling, and designing ETL systems/programs.

    Seniority level

    • Mid-Senior level

    Employment type

    • Full-time

    Job function

    • Information Technology

    Industries

    • Banking


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