Senior Data Engineer

2 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia Tranglo Full time 13,200 - 180,000 per year

Title : Senior Data Engineer

Department : Data

Division : Technology

You will be exposed to:

  • Drive the implementation and optimization of
    centralized data repositories and data lake architectures
    , supporting enterprise-wide analytics and reporting.
  • Identify, diagnose, and resolve data-related issues
    , ensuring data quality, integrity, and availability for downstream analytics and business applications.
  • Apply
    advanced data modeling techniques
    to solve real-world business challenges, ensuring data consistency, integrity, and performance.
  • Provide advanced support and troubleshooting
    for data pipelines, ETL/ELT processes, and data integration workflows across cloud and on-prem environments.
  • Enhance and mentor others in
    organizational, communication, and analytical skills
    , fostering a collaborative and data-driven engineering culture.
  • Gain exposure to the
    end-to-end machine learning lifecycle
    , from experimentation to production, by enabling robust and scalable data access for model training and inference.

About the Role

Key responsibilities:

  • Develop, optimize, and maintain robust data pipelines(ETL/ELT) across both on-premise and cloud environments

  • Work closely with business and technical teams to ensure that data mapping aligns with business rules and reporting needs

  • Maintain
    data lake and data warehouse solutions

  • Develop detailed reports and documentation of incidents and resolutions to contribute towards continuous improvement processes within the team

  • Provide technical guidance to the junior and implement best practices and standards of code

-
Create and maintain data mapping documents
to define the relationships between source data and target schemas.

  • Develop and support the ingestion of data from multiple sources into a
    centralized data repository
    or
    data lake
    .

  • Perform basic
    data cleaning
    ,
    transformation
    , and
    validation
    to ensure data quality and integrity.

Requirements

  • Bachelor's or Master's degree in
    Computer Science, Data Engineering, Information Systems
    , or a related field.

-
5+ years
of experience in data engineering, data warehousing, or big data environments

  • Strong understanding of
    data structures, performance tuning, and optimization
    .

  • Strong proficiency in
    SQL
    and one or more programming languages (Python, Java, or Scala).

  • Ability to
    troubleshoot and improve
    complex data workflows.

  • Experience designing systems for
    scalability, reliability, and maintainability
    .

  • Strong communication and documentation skills.

  • Solid understanding of
    data governance, security, and compliance
    principles.

  • Strong communication and documentation skills.

  • Exposure to BI tools such as
    Power BI, Tableau, or Looker
    for data consumption and visualization.

  • Exposure to Machine Learning projects implementation

  • Nice to have: Experience with
    streaming platforms

Up to RM11,000 only

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