Data Engineer - Kuala Lumpur - Rapsys Technologies Pte Ltd.

    Rapsys Technologies Pte Ltd.
    Rapsys Technologies Pte Ltd. Kuala Lumpur

    11 hours ago

    RM90,000 - RM180,000 (MYR) per year *
    Description

    We're Hiring:
    Data Engineer

    We are seeking a skilled and innovative Data Engineer to join our dynamic team in Kuala Lumpur.

    The ideal candidate will have extensive experience in data architecture, ETL processes, and big data technologies, enabling us to harness the power of data for strategic decision-making.


    Location:
    Kuala Lumpur, Malaysia


    Work Mode:
    Work From Office


    Role:
    Data Engineer

    Required Skills

    • Data Engineering
    o Strong SQL (complex joins, CTEs, window functions)

    o Data ingestion from structured and semi-structured sources

    o Data transformation logic and aggregation

    • ETL / ELT
    o Hands-on experience with ETL tools (SSIS, Informatica, ADF, dbt, etc.)

    o Scheduling, orchestration, and dependency management

    o Handling data validation and reconciliation checks

    • Databases
    o Oracle and/or MSSQL development

    o Understanding of indexes, constraints, and data types

    o Writing efficient and maintainable SQL code

    • Data Quality & Testing
    o Implementing validation rules

    o Supporting SIT/UAT data testing

    o Root cause analysis of data issues

    • Operational Support
    o Monitoring and troubleshooting ETL pipelines

    o Incident management and root cause analysis

    o Handling data load failures and reruns

    • Performance & Stability
    o Query optimisation and performance tuning

    o Managing growing data volumes

    o Implementing fixes with minimal disruption

    • Enhancement & Maintenance
    o Onboarding new data sources

    o Minor model changes and enhancements

    o Maintaining documentation and runbooks

    Required Experience

    • 3–7 years in data engineering or BI development
    • Experience working on DW or analytics projects
    • Exposure to enterprise data volumes
    • Experience working with BI teams
    • Familiarity with SLA-driven support models
    * This salary range is an estimation made by beBee
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