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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Data Engineer

ONL Biz Solutions
Cheras, Kuala Lumpur
Estimasi Gaji
MYR 8.000 – MYR 12.000
Live Update
11 Juli 2026
Batas Akhir
11 Jul 2027

Deskripsi Pekerjaan

Are you a passionate Data Engineer looking to make a significant impact? ONL Biz Solutions is seeking a talented Senior Data Engineer to join our dynamic team in Cheras, Kuala Lumpur. In this pivotal role, you will be at the forefront of our data infrastructure, architecting and optimizing scalable data pipelines that power our business intelligence. We are looking for a professional who is not only technically proficient but also drives best practices in data engineering across the organization.

You will work with cutting-edge technologies to ensure data quality, reliability, and performance. Join us to build robust data ecosystems that enable data-driven decision-making. This is a fantastic opportunity to work with a growing company where your expertise will directly influence the technology stack and business strategy. We value innovation, continuous learning, and a results-oriented mindset, offering you the chance to grow your career in a supportive environment.

Tanggung Jawab

  • Design, develop, and maintain robust data pipelines and ETL processes.
  • Architect scalable data models and data warehousing solutions.
  • Optimize data storage and retrieval for high performance.
  • Collaborate with cross-functional teams including data scientists and analysts to understand data requirements.
  • Implement data governance and quality control measures.
  • Ensure data security and compliance with industry standards.
  • Stay updated with emerging technologies and best practices in data engineering.

Kualifikasi

  • Bachelor’s degree in Computer Science, Information Technology, or related field.
  • Proven experience as a Data Engineer or similar role (2+ years experience).
  • Strong proficiency in SQL and programming languages such as Python, Scala, or Java.
  • Experience with big data processing frameworks like Spark, Hadoop, or Flink.
  • Knowledge of data warehousing tools (e.g., Snowflake, Redshift, or similar).
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork abilities.

Keahlian yang Dibutuhkan

SQL Python Big Data ETL Data Warehousing Spark Hadoop Data Modeling Data Pipeline Data Engineer Kuala Lumpur

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