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This job is for a Data Engineer at a top tech company that thrives on innovation. You might like this job because you’ll create and manage data systems that help businesses make smart decisions and impact millions worldwide!
Undisclosed
Mid Valley Kuala Lumpur , Kuala Lumpur
Job Description
About Us:
A leading global technology conglomerate renowned for its extensive ecosystem of digital services and platforms. With a strong presence in cloud computing, gaming, social media, and enterprise solutions, the organization supports millions of users and businesses worldwide. It emphasizes innovation, scalability, and security, making it a key player in driving digital transformation across various industries.
Responsibilities:
- Independently build and maintain data pipelines and ETL workflows based on requirements
- Assist analysts with data wrangling and metric building to support business decisions
- Support the management of big data tools (e.g., Airflow, Spark, Flink), including routine operations and monitoring
Job Requirements
Requirements:
- Bachelor’s degree or above in Computer Science or related fields.
- Preferably 1+ years of experience in data engineering or analytics.
- Proficient in SQL and Python familiar with databases and tools like Airflow, Spark, or Flink
- Fluent in both Chinese (Mandarin) and English langauges (need to communicate in Mandarin with China headquarter).
Skills
Company Benefits
Hybrid Work Arrangement
A flexible mix of office hustle and home comfort—where productivity meets balance!
Medical Coverage
Medical, dental, and optical coverage are your all-in-one health toolkit—keeping you covered, comfortable, and looking sharp!
Pantry Refreshment
A festival celebration at work is like hitting pause for fun—where creativity, culture, and snacks come together to make the office feel like a party!
Festivity Celebration
A festivity celebration at work is a chance to swap spreadsheets for sparkle—where team spirit, and a little bit of magic light up the office!
Additional Info
Company Activity
Last active - few minutes ago
Experience Level
1 - 3 Years of Experience
Career Level
Junior Executive
Job Specialisation
Data Science & Analytics