Senior Data Engineer

1 week ago

Kuala Lumpur, Kuala Lumpur, Malaysia Tranglo Full time

Title : Senior Data Engineer

Department : Data

Division : Technology

Location: Bangsar South, KL

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.

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.

Qualifications And 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

Malaysians only

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