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Senior Data Engineer

Senior Data Engineer

TrangloKuala Lumpur, Kuala Lumpur, Malaysia
20 jam yang lalu
Penerangan pekerjaan

Tranglo WP, Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Key responsibilities include :

  • 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.
  • 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 junior staff 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 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.
  • Exposure to BI tools such as Power BI, Tableau, or Looker for data consumption and visualization.
  • Exposure to Machine Learning project implementation.
  • Nice to have : Experience with streaming platforms .

    • Up to RM11,000 only

    Seniority level

    Mid-Senior level

    Employment type

    Full-time

    Job function

    Analyst, Information Technology, and Product Management

    Industries

    Financial Services, Technology, Information and Media, and Banking

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    Senior Data Engineer • Kuala Lumpur, Kuala Lumpur, Malaysia