281 Data Storage jobs in Singapore

The role of a Data Storage Specialist is to design, implement and manage enterprise-level backup and storage solutions. This includes performing regular backups, data restores and disaster recovery drills.

• Design and implement backup and storage solutions with high availability and performance.
• Maintain backup schedules, retention policies and compliance with organizational and regulatory requirements.
• Support data replication, migration and archival across systems and locations.
• Ensure data security, including encryption and access control for storage and backup data.

• Diploma in Computer Science or Information Technology.
• 2 years experience in relevant field.

This position offers the opportunity to work on complex data storage projects and contribute to the development of innovative solutions. You will have the chance to collaborate with a team of professionals and learn from their experiences.

This is a full-time position that requires a strong understanding of data storage technologies and systems. The ideal candidate will have excellent problem-solving skills and be able to communicate effectively with colleagues and stakeholders.

Job Overview

• Database Administrator Role:
• We are seeking an experienced Database Administrator to oversee the day-to-day operations of our database systems.

Responsibilities

• Database Management:
• Perform routine maintenance tasks, including backups and data recovery.
• Ensure high performance and availability of database systems.
• Troubleshoot and resolve issues related to database performance and stability.
• Implement security measures to protect sensitive data.

Requirements

• Skills and Qualifications:
• At least 3 years of experience in database administration.
• Strong knowledge of database management systems, including installation, configuration, and optimization.
• Experience with AWS is highly desirable.
• Must have a valid certificate in database administration.

Benefits

• Professional Growth:
• Opportunity to work with a dynamic team.
• Chance to develop skills and expertise in database administration.

Note

• Public Sector Requirement:
• Applicants must have prior experience working in the public sector.

Job Title: Data Infrastructure Specialist

We are seeking a highly skilled and experienced Data Infrastructure Specialist to join our team. The ideal candidate will have a strong background in hardware maintenance, system administration, and technical support.

Key Responsibilities:

• Perform routine maintenance tasks on servers, PCs, and electronic equipment.
• Administer systems, including backups, patching, and updating software.
• D document processes and procedures for maintenance and repair.
• Collaborate with customers to understand their needs and provide effective solutions.

Requirements:

• Technical knowledge of electronics, electrical, and computer systems.
• Ability to troubleshoot and repair complex technical issues.
• Proficiency in MS Office, including Word, Excel, and PowerPoint.
• Excellent communication and teamwork skills.

Preferred Qualifications:

• Knowledge of mechanical engineering principles.
• Experience with software maintenance and development.

Working Conditions:

• Primary location: AMK.
• Occasional travel to site required.
• Must be available to work overseas for short periods.

Education and Certifications:

• High school diploma or equivalent required.
• Certifications in relevant fields preferred.

Additional Information:

• Singaporean citizenship required.
• Must be able to lift 20 kg and work at heights.

The Data Infrastructure Specialist is responsible for designing and implementing data pipelines to extract, transform, and load data from various sources. This role requires a strong understanding of SQL technologies and experience with ETL processes.

Key responsibilities include creating and managing optimal data pipeline architecture, monitoring and managing database systems, assembling large datasets, and working with stakeholders to support their data infrastructure needs.

• Bachelor's degree in Computer Science or related field
• 3+ years of experience with RDBMS and NoSQL databases
• Proficiency in Python, SQL, and data visualization tools
• Experience in MedTech/Manufacturing Industry
• Knowledge of best practices in ICT operations and data management

• Opportunity to work on a dynamic team
• Chance to develop expertise in data infrastructure
• Collaborative work environment

Job Overview:

We are seeking a highly skilled Database Administrator to join our team. As a Database Administrator, you will be responsible for the installation, configuration, and maintenance of database systems.

Responsibilities:

• Install and configure database systems to ensure optimal performance.

• Maintain and troubleshoot database issues to minimize downtime.

• Develop and implement data backup and recovery procedures to ensure business continuity.

• Plan and implement database upgrades and patches to maintain security and efficiency.

• Collaborate with application teams to optimize database performance and resolve issues.

Requirements:

• Proven experience in database administration and management.

• Strong knowledge of database systems, including Oracle, MySQL, and SQL Server.

• Excellent problem-solving and analytical skills.

• Ability to work effectively in a team environment.

• Strong communication and interpersonal skills.

Bonus Points:

• AWS certification would be an advantage.

• Experience in public sector is a must.

• Experience in GCC is a must.

We are seeking a skilled Data Centre Engineer to manage the day-to-day operations and maintenance of our data center facilities. The ideal candidate will have a strong background in building technologies, mechanical and electrical services, as well as experience in data center facility and vendor management.

We're seeking a seasoned Data Engineer to develop and maintain large-scale data infrastructure, transforming research into scalable production-ready solutions for synthetic tabular data generation.

This is an individual contributor role suited for someone who excels in fast-paced start-up environments. The ideal candidate has experience scaling data and machine learning systems to handle datasets with billions of records and can design complex data pipelines for enterprise applications.

You'll work closely with software, machine learning, and applied research teams to optimize performance and ensure seamless integration of systems, handling data from various sources.

• Design and build data ingestion pipelines from relational databases and files for large-scale synthetic data pipelines.
• Develop scalable batch processing pipelines.
• Maintain data warehouses and data lakes optimized for synthetic data training and generation workflows.
• Transform Pandas-based research code into production-ready pipelines.
• Implement automated data quality monitoring and validation systems.
• Design comprehensive data lineage tracking and audit capabilities for regulatory compliance and privacy validation.
• Implement robust error handling mechanisms with automatic retries and data recovery.
• Track performance metrics such as data throughput, latency, and processing times.

• Expert proficiency at scaling data pipelines and machine learning systems to handle billions of rows.
• 3+ years of experience in building scalable data solutions with Python and distinct libraries such as Pandas, NumPy, Scikit-learn, PyTorch, Spark, Dask, Airflow, Dagster, Pandera, and Pydantic.
• Experience in automated data quality frameworks including rule-based and AI-based automation.
• Proficiency in building ETL/ELT pipelines and managing data across relational databases, data lakes, and cloud storage.
• Hands-on experience with web scraping tools (Scrapy, Selenium, Puppeteer).

• Experience with data governance frameworks and compliance requirements.
• Experience with containerization and orchestration using Docker, Kubernetes, and cloud-native deployment strategies.

This is a unique opportunity to actively build and scale systems in a fast-moving environment. If you've successfully scaled machine learning and data systems to billions of rows and thrive in dynamic environments, this role is for you.

• Flexible time-off arrangements
• Flexible work arrangements - work from office or remotely on some days
• Equity eligibility: Competitive equity packages with grant size evaluated based on the candidate's experience, skills, and impact.

The Data Center Engineer plays a vital role in ensuring the smooth operation of our data center facilities. This includes performing regular walk-throughs to validate equipment status, reviewing work orders, and escalating issues to the appropriate teams.

• Perform regular walk-throughs to validate equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.

Key Responsibilities

1. Semi-Routine Equipment Management
2. Work Order Review and Response
3. Cross-Connect Work Order Support
4. Asset Installation and Testing
5. Certification Testing

To be successful in this role, you should have:

• A Diploma / Degree in IT/Computer Science or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

We are looking for an experienced C++ Software Developer to join a top hedge fund firm in Singapore! This role is under their Data Infrastructure team and provides an exciting opportunity to design and optimize data infrastructure microservices to support the high-performance data processing and analytics in trading and research.

• Bachelor's/Master's Degree in Computer Science
• Minimum 4 years of experience in Software Engineering
• Extensive hands-on experience with C++
• Knowledge in Python
• Strong experience working on microservices
• Familiarity with Linux environment
• Experience handling large datasets and working with highly available distributed systems
• Knowledge of SQL databases and data serialization formats
• Exposure to cloud platforms like Google Cloud or AWS and containerization technologies such as Docker/Kubernetes is beneficial
• Proficiency in additional programming languages like Rust or Q is an advantage
• Experience working in hedge funds or banks is highly advantageous
• Strong communication skills to effectively liaise with different stakeholders

If you are interested, please apply to the job post or contact me at

Regrettably, only shortlisted candidates will be notified.

Business Registration Number: 200611680D | Licence Number: 10C5117 | EA Registration Number: R23115372