- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Data Engineer Snowflake.
Urgent! Data Engineer - Snowflake Job Opening In Kuala Lumpur – Now Hiring Oxydata Software
Data Engineer - Snowflake
Job ID: V6W84V8R
Location: Greater Kuala Lumpur, Malaysia
Work Mode: Onsite
Job Type: Permanent
Our client is a global leader in sustainable building materials, generating multi-billion annual revenue with operations in over 40 countries and a workforce exceeding 12,000 employees.
They are recognized for driving innovation in energy efficiency, fire safety, and circularity within the construction industry.
With strong international presence and a focus on digital transformation, they continue to lead in sustainable solutions that make cities healthier and safer.
We are seeking an experienced Senior Data Engineer to contribute to the development, operation, and optimization of robust data platforms and pipelines supporting AI/ML and analytics initiatives.
Responsibilities
Maintain and enhance scalable data pipelines (batch and streaming) for ingestion, transformation, and storage.
Write efficient code in Python and SQL for ETL/ELT workflows.
Monitor and troubleshoot data workflows, ensuring high availability and SLA adherence.
Build and maintain data models, data marts, and data warehouses.
Implement data validation and quality checks; monitor lineage and metadata.
Work with data stewards and scientists to define and enforce governance standards.
Optimize SQL queries, data transformations, and infrastructure performance.
Automate infrastructure provisioning using IaC tools and implement CI/CD pipelines.
Recommend architecture improvements to increase throughput and reduce cost.
Collaborate across technical and business teams, and handle operational support tickets.
Requirements
Must-have:
3 to 5 years of hands-on experience in data engineering.
Strong proficiency in SQL and at least one of: Python, Scala, Java, or Snowpark.
Proven experience with Snowflake, DBT, and Azure data tools.
Familiarity with data lakes, lakehouse, and data warehouse architectures.
Experience in Infrastructure as Code (Terraform, CloudFormation) and version control (Git/GitHub).
Solid understanding of CI/CD practices for data workloads.
Exposure to data quality, cataloging, and metadata tools.
Comfortable with operational tasks, incident handling, and platform reliability.
Strong problem-solving skills and attention to detail.
Clear communication with both technical teams and business stakeholders.
Degree in Computer Science, Information Systems, or related field.
Nice-to-have:
Familiarity with Azure Functions, Data Lake, and formats like Iceberg.
Experience with Jinja, Snowpipe, or LLM tools like GitHub Copilot or ChatGPT.
Hands-on experience with tools like Kafka, Spark, Airflow, Databricks, Informatica.
Exposure to observability tools (Prometheus, Grafana, ELK stack).
Experience in Scrum/Kanban using Jira.
International work exposure or experience in global teams.
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Kuala Lumpur, 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 Lumpur, 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 18927 jobs in Malaysia and 3524 jobs in Kuala Lumpur. 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! Oxydata Software is currently hiring and seeking a Data Engineer Snowflake 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 Snowflake Jobs Kuala Lumpur.
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 Oxydata Software adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Snowflake Jobs Malaysia varies, but the pay scale is rated "Standard" in Kuala Lumpur. 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 Snowflake typically include Computer Occupations 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 Snowflake, 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 Snowflake interview at Oxydata Software, 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 Oxydata Software'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!
Setting up job alerts for Data Engineer Snowflake is easy with Malaysia Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!