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Urgent! Data Engineer in Kuala Selangor | VAT Group | Expertini
As a
Data Engineer , you will be responsible for building and maintaining the data infrastructure that powers VAT’s analytics and business intelligence solutions.
Your work ensures that data is accessible, reliable, and performant—enabling teams across the organization to make informed, data-driven decisions.
You will be part of a global IT team spanning
Romania, Switzerland
and
Malaysia , collaborating across time zones and disciplines.
Your focus will be on developing robust data pipelines, integrating diverse data sources, and optimizing data storage and processing systems to support scalable and high-quality analytics solutions.
Responsibilities
Develop, construct, and maintain robust and scalable data pipelines to support analytics and reporting needs across the organization.
Integrate data from multiple sources, ensuring consistency, reliability, and alignment with business requirements.
Design and manage data storage solutions, including data lakes and data warehouses, with a focus on scalability and performance.
Optimize data processing and retrieval, ensuring efficient performance across the data platform.
Implement and monitor data quality measures, ensuring accuracy, completeness, and consistency of data across systems.
Monitor system performance, troubleshoot issues, and design improvements to enhance stability, reliability, and scalability.
Collaborate with cross-functional teams, including analytics engineers, business analysts, and IT stakeholders, to deliver high-quality data solutions.
Required Qualifications
Minimum 3 years of experience as a Data Engineer or in a similar role focused on data infrastructure, pipelines, or platform engineering.
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field — or equivalent professional experience.
Strong experience in building and maintaining data pipelines, including data ingestion, transformation, and orchestration.
Solid understanding of data integration from multiple sources and ensuring data consistency and reliability.
Experience with data storage solutions such as data lakes and data warehouses.
Proficiency in Python, PySpark, or other programming languages used for data processing and orchestration.
Proficiency in SQL for data querying, transformation, and performance optimization.
Proficiency in monitoring and troubleshooting data systems, with a focus on performance and stability.
Strong problem‑solving skills and attention to detail.
Ability to work independently and collaboratively in a cross‑functional, multicultural team.
Fluent in English, both written and spoken.
Preferred Qualifications
Experience with Microsoft Fabric, Azure Synapse Analytics, or similar modern data platforms.
Familiarity with CI/CD practices, version control (e.g., Git), and infrastructure‑as‑code tools.
Knowledge of data governance, data quality frameworks, and compliance standards.
Experience with monitoring and observability tools for data pipelines and infrastructure.
Exposure to cloud‑based architectures and services (e.g., Azure Data Lake, Azure Data Factory).
Experience working in agile environments, applying Scrum methodology.
Microsoft Certification: Fabric Data Engineer Associate (DP-700).
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Kuala Selangor, Malaysia (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Kuala Selangor, Malaysia using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 34453 jobs in Malaysia and 6977 jobs in Kuala Selangor. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! VAT Group is currently hiring and seeking a Data Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Engineer Jobs Kuala Selangor.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at VAT Group adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Jobs Malaysia varies, but the pay scale is rated "Standard" in Kuala Selangor. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Engineer interview at VAT Group, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the VAT Group's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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