141 Salesforce Administration jobs in Singapore

As a key player in our team, you will be responsible for ensuring the smooth operation of Splunk services. This includes performing checks and troubleshooting to guarantee that all environments are running as intended.

We are looking for an experienced professional with a strong background in Splunk system administration. You should possess a deep understanding of Splunk Enterprise Certified Admin certifications or equivalent.

• Experience working on Splunk system
• Possess Splunk Enterprise Certified Admin certifications or equivalent.

The successful candidate will be responsible for maintaining and monitoring Splunk infrastructure including Search Heads, Indexers, Forwarders, Deployment Server, Cluster Master, etc.

Key responsibilities include:

• Performing checks and troubleshoot if necessary, to ensure that the Splunk forwarders are working and can pipe logs back to Splunk systems.
• Ensuring uptime and system health via monitoring, tuning, and log analysis (including introspection, metrics logs).
• Deploying and testing system changes in non-production environments when required.
• Monitoring Security advisory, new releases, notifications and maintenance expiry dates for all Software used in the System and assessing the impact, if any.
• Investigating problems and providing assistance to triage issues.
• Tracking and reporting issues, support cases and incident resolutions on a weekly basis.

Some of the benefits of this role include:

The opportunity to work with a talented team of professionals in the field of Splunk system administration.

A competitive salary package.

Regular training and development opportunities to enhance your skills and knowledge.

• At least a Diploma in Engineering (Electrical/Electronic), Computer Science/Information Technology or equivalent.
• Must have at least 1-2 years of Server experience.
• Able to work on scheduled standby on rotating weeks.

This role involves the provision of high-level Linux RHEL administration services to clients.

Key Responsibilities:

• Expertise in multiple infrastructure technologies, including RedHat Enterprise Linux (RHEL) administration and engineering is required.
• Proficiency in troubleshooting with a minimum of 6+ years of RHEL experience.
• Experience in Infrastructure builds, Datacenter migration, and project support is essential.
• Knowledge on Veritas/RHEL cluster, Block and object storage, Networking, and Virtualization technologies is necessary.
• Capacity management, Resiliency, and Business Continuity Planning expertise.
• Infrastructure automation experience using Puppet and Ansible.
• Excellent communication and organizational skills are required.

• Multiple infrastructure technology expert
• Troubleshooting specialist
• Infrastructure build expert
• Network and virtualization specialist
• Business continuity planning expert
• Communication and organization specialist

• Professional development opportunities
• Collaborative team environment
• Recognition for outstanding performance

A high-profile system administration role is available at a leading global technology organization in Singapore.

This position involves overseeing and maintaining the overall health and performance of Windows-based systems, ensuring seamless day-to-day operations.

The ideal candidate will possess strong technical expertise and excellent problem-solving skills to tackle complex issues that may arise.

• Responsibilities include administering, troubleshooting, and upgrading Windows servers, as well as implementing system hardening practices to enhance security.
• Management of Active Directory, DNS, DHCP, and storage systems to guarantee optimal system availability.
• Configuration and support of Microsoft clusters, RAID storage, and virtualization platforms like VMware and cloud environments such as AWS for superior performance.
• Oversight of file system quotas, FTP/SFTP configurations, and storage space management to maintain data integrity.

• A minimum of five years' experience in Windows system administration or related fields is required.
• Candidates must hold a Bachelor's degree in Computer Engineering, Science, or a relevant Diploma from a recognized institution.
• Certifications like MCSE or VMware are highly valued for enhanced skill validation.
• Strong knowledge of cloud operations, especially AWS deployment and migration.
• Excellent communication skills and a customer-focused approach to problem solving are essential.

C-AB-002

Key Responsibilities:

· The client wants to create data integration, data marts, and data lakes in accordance with their data architect.

· However, rather than simply following instructions, it will be necessary to consider the current and future styles of data, communicate with multiple members, and perform design work when necessary (in other words, this role will require strong business analysis skills).

· We are looking for personnel who can provide this support.

Key Requirements:

· Bachelor's degree in computer science, Information Systems, Data Science, or a related field. Master's degree preferred.

· 8-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).

· Basic knowledge of data governance (i.e. DAMA-DMBOK).

· Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.

· Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).

· Advanced SQL skills and strong ability to work with large, complex financial datasets.

· Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.

· Intermediate understanding of regulatory compliance in the APAC region.

· Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.

· Need to Power BI experiences

· People who can communicate and create basic reports

How to Apply:

If interested, please send your resume to or by clicking the "Apply Now" button.

We regret that only short-listed applicants will be notified.

Rachel Ling

Registration No: R21102195

EA Licence No: 21C0761

C-AB-002

Key Responsibilities:

· The client wants to create data integration, data marts, and data lakes in accordance with their data architect.

· However, rather than simply following instructions, it will be necessary to consider the current and future styles of data, communicate with multiple members, and perform design work when necessary (in other words, this role will require strong business analysis skills).

· We are looking for personnel who can provide this support.

Key Requirements:

· Bachelor’s degree in computer science, Information Systems, Data Science, or a related field. Master's degree preferred.

· 8-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).

· Basic knowledge of data governance (i.e. DAMA-DMBOK).

· Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.

· Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).

· Advanced SQL skills and strong ability to work with large, complex financial datasets.

· Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.

· Intermediate understanding of regulatory compliance in the APAC region.

· Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.

· Need to Power BI experiences

· People who can communicate and create basic reports

How to Apply:

If interested, please send your resume to or by clicking the “Apply Now” button.

We regret that only short-listed applicants will be notified.

Rachel Ling

Registration No: R21102195

EA Licence No: 21C0761

Job Details

Location : Caldecott

Contract Duration : 1 year

Monday - Friday, hybrid (3 days office 2 days wfh)

Data Management:

- Engage with data stewards to implement Data Quality Implementation Strategy

- Identify and report data quality issues, propose solutions

- Plan and implement strategies to improve data quality

- Streamlining of work processes:

- Consolidate and update FAQs

- Analyze mailbox query trends, propose solutions

- Administrative and Logistical Support:

- Develop and maintain training materials and user guides

- Coordinate logistics for training and change management

- Provide admin and technical support for onboarding new users

Requirements:

- Singaporean

- Proficient in data visualization and data analytics

- Strong project management skills

- Detail-oriented and meticulous

- Positive attitude towards learning

- Ability to work independently and as part of a team

If interested, Whatsapp Jody at 9657 3200 ( ) directly.

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy . You acknowledge that you have read, understood, and agree with GO’s Terms of Use and the Privacy Policy. If you wish to withdraw your consent, please email us at . Please feel free to contact us if you have any queries. PERSOLKELLY Singapore Pte Ltd • RCB No. 20007268E • EA License No. 01C4394 • EA Registration No. R25128731 (Jody Chee Zi Yu)

Responsibilities

• Assist in the updating, extracting and uploading of database for marketing purposes;
• Perform data de-duplication, manipulation, cleansing, extraction, mapping/matching;
• Perform queries and list pulls for marketing campaigns;
• Monitor and perform updating, deduping, clean-up, extracting and uploading of database;
• Report on campaigns performance, effectiveness, and growth;
• Produce quantitative reports/presentations and communicate on findings, highlight any inconsistencies / issues;
• Work with business and IT resources regarding database issues and technical questions;
• The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities and qualifications may be required and/or assigned as necessary.

Requirements:

• Minimum 1-2 years of relevant database / reporting experience;
• Minimum Diploma in a relevant field;
• Highly proficient with Microsoft Excel (E.g.: Pivot Tables, Macros, etc);
• Understanding of database structure;
• Basic programming skills will be an advantage;
• Able to work in a deadline driven environment with the ability to meet aggressive deadlines;
• Able to handle multiple campaigns assigned;
• Observes attention-to-detail, meticulous and organized; and
• Fluent in both spoken and written English.

We regret that only shortlisted candidates will be notified.

Bloomberg's success hinges on its ability to harness and deliver high-quality data insights to clients.

The Data Management Lab (DML) is the nerve center of Bloomberg's Data organization, where a team of experts works tirelessly to ensure that industry best practices align with Bloomberg's established expertise in financial market data.

As a Lead Data Management Professional, you will play a pivotal role in shaping the company's data management strategy while driving impactful business decisions.

• Drive global initiatives focused on data quality, operational efficiency, and data management across all departments
• Design and execute analytical frameworks to uncover root causes for data quality issues and develop recommendations using Bayesian analysis, machine learning, and causal inference techniques
• Develop optimization strategies to balance trade-offs such as performance, quality, and resource usage across data pipelines
• Apply Operations Research methods like Linear programming, Queuing theory, and Monte Carlo Simulations to drive business outcomes
• Maintain a thorough understanding of data engineering workflows, including how data pipelines are orchestrated and various components within the ETL framework
• Deliver actionable insights through advanced analytics and compelling data storytelling to support business decision making and innovation
• Collaborate with data stakeholders and engineering partners to translate high-impact questions into scalable data science solutions
• Build statistical and analytical capabilities within the team and mentor others

To succeed in this role, you will need:

• A Bachelor's degree or higher in Data Science, Economics, Statistics, or a relevant STEM field, or equivalent professional work experience
• 3-5 years' experience designing data engineering pipelines and optimizing data management processes
• Proficiency in Python (e.g., PySpark, Pandas, NumPy, or Pymc) and SQL
• Experience working in a data quality, data governance, or data management role, with a focus on delivering high-quality data insights to clients
• Familiarity with modern data tech stack tools, such as dbt, Iceberg, Trino, Airflow, Superset, etc.
• Familiarity with version control systems (e.g., Git) and a collaborative development workflow environment (e.g., GitHub, GitLab)
• Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
• Demonstrated continuous career growth within an organization
• Excellent written and verbal communication skills in English

It would be beneficial if you had experience in:

• Data Management Association (DAMA) and Data Management Capability Assessment Model (DCAM)
• Knowledge of financial markets and Bloomberg products