senior data engineer

2 days ago

Bangsar South Kuala Lumpur, Malaysia Tranglo Sdn Bhd Full time 90,000 - 120,000 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.

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

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