- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Data Engineer (Mid/Senior).
Urgent! Data Engineer (Mid/Senior) Job Opening In Singapore, Singapore – Now Hiring Razer Inc.
Join to apply for the
Data Engineer (Mid/Senior)
role at
Razer Inc.
Joining Razer will place you on a global mission to revolutionize the way the world games.
Razer is
a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents.
Razer is also
a great place to work,
providing you the unique, gamer-centric experience that will put you in an accelerated growth, both personally and professionally.
Responsibilities
Lead AI Data Engineering initiatives by driving the design and development of robust data pipelines for AI/ML workloads, ensuring efficiency, scalability, and reliability.
Design and implement data architectures that support AI model training, including feature stores, vector databases, and real-time streaming solutions.
Develop high performance data pipelines that process structured, semi-structured, and unstructured data at scale, supporting the various AI applications
Implement best practices for data quality, lineage, security, and compliance for AI applications
Develop automated data workflows, integrate with DevOps, MLOps frameworks, and enable model reproducibility through efficient data management.
Continuously explore advancements in AI data engineering, including distributed computing, data mesh architectures, and next-gen storage solution that best fit the various AI initiatives
Work closely with data scientists and AI/ML engineers to optimize feature extraction, data labeling, and real-time inference pipelines.
Qualifications
Hands on experience working with Vector/Graph;Neo4j
3+ years of experience in data engineering, working on AI/ML-driven data architectures
Ability to work in fast paced, high pressure, agile environment.
Ability and willingness to learn any new technologies and apply them at work in order to stay ahead.
Strong in programming languages such as Python, SQL.
Experience in developing and deploying applications running on cloud infrastructure such as AWS, Azure or Google Cloud Platform using Infrastructure as code tools such as Terraform, containerization tools like Docker, container orchestration platforms like Kubernetes
Experience using orchestration tools like Airflow or Prefect, distributed computing framework like Spark or Dask, data transformation tool like Data Build Tool (DBT)
Excellent with various data processing techniques (both streaming and batch), managing and optimizing data storage (Data Lake, Lake House and Database, SQL, and NoSQL) is essential.
Experience in network infrastructure, real-time AI inferencing pipelines using event-driven architectures
Excellent problem-solving and analytical skills, with an understanding of Gen AI technologies and their applications
Excellent written and verbal communication skills for coordinating across teams.
Experience and Interest to keep up with the advancement in the Data Engineering Field
Education & Experience
Has a Bachelor’s or Master’s degree in computer science, Data Engineering, AI/ML, or a related field from an accredited institution
Travel Requirements
Role based in Singapore office and may require up to 1 travel trip per year.
Shortlisted candidates will be contacted for assessment in due course
Are you game?
#J-18808-Ljbffr
✨ 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 Singapore, Singapore (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 Singapore, Singapore 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 33751 jobs in Singapore and 28975 jobs in Singapore. 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! Razer Inc. is currently hiring and seeking a Data Engineer (Mid/Senior) 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 (Mid/Senior) Jobs Singapore.
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 Razer Inc. adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer (Mid/Senior) Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. 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 (Mid/Senior) 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 (Mid/Senior), 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 (Mid/Senior) interview at Razer Inc., 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 Razer Inc.'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 (Mid/Senior) is easy with Singapore 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!