Executive - Data Engineer
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Job Description
The Responsibilities of the Role:
- Minimum of 3 years' hands-on experience in building and maintaining data pipelines using tools such as Azure Data Factory and Databricks.
- Proven experience in ETL development, with a strong focus on scalability, performance, and data integrity.
- Proficient in programming with Python, R, or similar languages commonly used in data engineering and analytics.
- Experienced in applying DevOps methodologies for data workflows, including CI/CD and automated deployment.
- Solid background in cloud-based data platforms, with preference for Microsoft Azure technologies.
- Holds valid and relevant professional certifications in cloud and data solutions, such as:
- Azure Data Engineer Associate
- Fabric Analytics Engineer Associate
- Databricks Solution Architect Champion
- Contributes to the development of robust data solutions that support analytics, reporting, and machine learning.
- Collaborates effectively with cross-functional teams to deliver high-quality, secure, and scalable data infrastructure.
Skill Requirements:
- Azure Fabric.
- Databrick.
- Excellent command of spoken and written English and Mandarin is added advantage.
- Good multitasking ability.
- Excellent computer knowledge: MS Office including MS Outlook and surfing the internet for information or research.
- Excellent presentation and communication skills.
- Fast typing skills (minimum 35 words per minute).
- Good problem-solving skills.
- Preferably with contact center background.
- Good knowledge of Laptop / Desktop / Tablet products, peripheral devices.
- Network basics (LAN and basic Wi-Fi knowledge).
- Hardware Basics (Motherboard / Hard disk / Memory / Display / BIOS etc.).
- Speak with good pace, articulate and have clear pronunciation.
- Minimum 3 years of experience on data pipeline e.g. Azure Data Factory/Databricks.
- Good experience with ETL.
- Experience with Python, R or other similar languages.
- Experience with DevOps methodologies.
- Experience with cloud-based data platforms and Azure cloud technology preferred.
- Degree, or an equivalent professional qualification in any principle.
- Process valid professional certification(s) in cloud infrastructure and/or Data Solution.
The Package :
- Attractive Salary (RM6,250 – RM9,250).
- Mandarin is an added advantage.
- Annual Leave 15 days.
- Medical Leave 14 days.
- Medical and hospitalization coverage.
Experience Required :
- Associate
Location :
- Bangsar South, Kuala Lumpur.
Employment Type :
- Full Time.