🐍 ETL Engineer (Python | Mandarin Speaker)
📍 Location: Kuala Lumpur, Malaysia
🖥️ Working Mode: Onsite
🏢 Industry: Insurance
🆔 Job ID: 8713
Are you a data wizard fluent in Python and Mandarin, ready to build powerful data pipelines with Databricks, PySpark, and ADF? Join a fast-growing insurance project in Kuala Lumpur where your ETL skills will drive real business outcomes.
🔧 What You’ll Do
As an ETL Engineer (Python), you'll work closely with technical teams to rebuild Informatica mapping logic using PySpark and deliver robust, scalable data solutions in the cloud.
🎯 Key Responsibilities:
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Translate existing Informatica mappings into PySpark
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Use Databricks and Azure Data Factory (ADF) to build and orchestrate ETL pipelines
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Work with stakeholders to deliver tasks independently and on time
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Collaborate in code reviews and optimize scripts for performance
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Troubleshoot data load issues and ensure data integrity across environments
🧠 What You Bring
Technical Must-Haves
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3+ years in the IT industry, with a focus on ETL development
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Hands-on experience with Databricks, Python, and ADF
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Strong SQL scripting capabilities
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Familiar with Apache Spark, Hadoop (nice to have)
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Prior experience rewriting Informatica ETL logic in PySpark is a plus
Soft Skills & Language
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Mandarin proficiency is required for effective team and stakeholder communication
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Ability to work independently, take initiative, and deliver under pressure
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Excellent team collaboration and communication skills
💼 Why Join?
✅ Be part of an innovative data team working on cloud-native solutions
🚀 Learn and grow with cutting-edge tools like Databricks and ADF
🌍 Collaborate across regions and contribute to mission-critical systems in insurance
🔍 Gain exposure to enterprise-level data transformations and governance
📩 How to Apply
👉 Apply via Google Form: https://forms.gle/5mn2Kyd2ysXk2LBG7
📲 WhatsApp Direct: https://wa.link/5pv88e
🔒 Confidential Chat: https://wa.link/lptg0z
📢 Boost Your Reach with These Hashtags
#ETLEngineer #PythonDeveloperKL #DatabricksJobs #ADFDeveloper #PySparkEngineer #MandarinSpeakingJobs #KLTechJobs #InsuranceDataEngineering #HiringNow