Senior Data Engineer

CLOOCUS SDN BHD; Petaling Jaya; On-site; MYR 100,000 - 150,000; Full time

Job summary

An international technology company in Malaysia is seeking a Data Engineer to lead projects involving Azure tools. Responsibilities include building ETL/ELT pipelines, developing AI solutions, and collaborating across regions. The ideal candidate has a Bachelor's degree in Computer Science and 3-5 years of relevant experience, particularly with Azure ML and data analytics tools like Power BI. Strong SQL and Python skills are essential for this fast-paced environment.

Qualifications

• 3-5 years of experience in data engineering with cloud platforms.
• Strong hands-on experience with data processes including ingestion, cleansing, and transformation.
• Certifications in relevant areas are highly preferred.

Responsibilities

• Oversee the Malaysia Data team's project delivery.
• Build and maintain ETL/ELT pipelines for data operations.
• Develop AI-powered applications and machine learning models.

Skills

ETL/ELT processes

SQL

Python

Data Visualization with Power BI

Cloud technologies (Azure, AWS, GCP)

Education

Bachelor's Degree in Computer Science or related field

Tools

Azure Databricks

Microsoft Fabric

Azure Synapse

Tableau

Google Looker Studio

Job description

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Oversee the Malaysia Data team’s project delivery and collaborate with colleagues including other regions.

Act as Malaysia’s representative for cross‑regional collaborations.

Work using Azure DevOps for project management and deployment.

Data Platform & Solution Design

• Work with solution architects to translate business needs into AI/ML solutions.
• Design and develop Data Engineering & Analytics solutions using Azure Databricks, Microsoft Fabric, Azure Synapse, Databricks, Power BI, and more.
• Up‑to‑date and recommend the right AI tools and technologies for projects.
• Ensure solutions follow best practises for scalability, performance, security, cost efficiency and governance.
• Build and maintain ETL/ELT pipelines for data ingestion, cleansing, transformation, and orchestration data modelling.
• Build and deploy AI‑powered applications, chatbots, and conversational AI systems.
• Develop reliable data models using GPT, machine learning, generative AI, and speech/voice bots with languages like Python, SQL.
• Implement custom ML models through fine‑tuning.

Data Analytics Enablement

• Data Analytic tools: Power BI (main). Added advantage: Tableau, Google Looker Studio.
• Enable BI teams and stakeholders by delivering clean, trusted, well‑modelled datasets and semantic layers for reporting.

Project Implementation

• Work with cross‑functional teams across regions like Korea.
• Manage multiple projects concurrently from inception to deployment and handover.
• Stay updated on data services across Microsoft, and exposure to Google, AWS is a plus.
• Recommend the best‑fit technologies and solutions based on project requirements.

What We’re Looking For

• Bachelor’s Degree in Computer Science, Information Technology, Data Engineering or a related field.
• 3‑5 years of relevant experience in data engineering, bonus if you have experience with Cloud based Data & AI platforms (Azure Machine Learning, AWS Sagemaker, GCP VertexAI, Databricks, etc.).
• Strong hands‑on experience with ETL/ELT, data ingestion, cleansing, transformation and data modelling.
• Proficiency in SQL and Python.
• Data Analytic tools: Power BI (main). Added advantage: Tableau, Google Looker Studio.
• Good understanding of data warehousing/lakehouse concepts, performance tuning, and security/governance.
• Self‑motivated, results‑driven, and thrives in a fast‑paced environment.
• Excellent communication skills and ability to collaborate with distributed teams and clients.
• Certifications (Highly Preferred).

Application Questions

• How many years' experience do you have as a Data Engineer?
• Which of the following statements best describes your right to work in Malaysia?
• What's your expected monthly basic salary?
• Which of the following types of qualifications do you have?
• Which of the following programming languages are you experienced in?
• Which of the following data analytics tools are you experienced with?
• How much notice are you required to give your current employer?
• Which of the following Microsoft Azure certifications have you completed?