jobs in Plaza Premium Group

全职 Senior Data Engineer 工作, 薪水, Plaza Premium Group Federal Territory 公司招聘中 - Ricebowl

Undisclosed

KL City, Federal Territory

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工作地点

  • Jalan Sultan Mizan Zainal Abidin, Kompleks Kerajaan Kuala Lumpur Federal Territory Malaysia

职位描述

岗位职责

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What you'll be doing:


  • Designing and implementing efficient ETL/ELT workflows to ingest, clean, transform, and store data.
  • Ensuring data quality, integrity, security, and compliance across data pipelines and storage systems.
  • Following the data design principles and architecture from Data Architect; ensure architecture and technologies implemented are aligned to company standards.
  • Setting data engineering best practices, coding standards, and continuously optimizing engineering processes for the data engineering team.
  • Leading the adoption of modern data technologies and methodologies including batch, real-time streaming, big data tools, and cloud platforms.
  • Collaborating closely with data analysts and IT teams to understand data requirements and deliver actionable datasets.
  • Provide coordination on requirements clarification, user acceptance testing (UAT), rollout, day-to-day operation & support, maintenance and enhancements.
  • Managing task priorities, mentoring and train junior data engineers for skills development and performance improvement.
  • Office base in KL and visit Overseas offices when necessary JOB


What You'll Need:

  • Bachelor’s degree in computer science, Information Technology, Business or a related field.
  • Minimum of 5 years of proven experiences in data engineering role, or related roles.
  • Technical Expert knowledge of data engineering, data modeling, data Warehousing, data Lakehouse and data governance concepts with proven experiences.
  • Proven track record managing large-scale data/BI projects.
  • Strong data engineering mindset, able to manage complexity, good problem-solving skills and continuous self-improvement.
  • Strong interpersonal skills, ability to liaise with all levels of resources between internal and external teams.
  • Proactive and able to drive changes.
  • Knowledge of cloud data platforms (AWS, Azure, Google Cloud), machine learning or advanced analytics is a must.


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