Total 4,034 data entry job vacancies in Information Technology category in Singapore

Data Center Project Administrator

ITCS Group is an IT Managed Services, Outsourcing and Talent-Sourcing company. We provide customised IT Consulting Solutions, Project Management, IT resourcing and on/off-shore Application Development Services across the Asia Pacific region. With offices strategically located in Hong Kong, Tokyo, Singapore, Sydney, and Mumbai. ITCS Group is the preferred technology partner for leading MNCs, including Global Investment Banks, Fortune 500 companies, across Asia Pacific.

We are currently looking for a Data Center Project Administrator to join our banking and financial team in Singapore to support Data Center Services end-to-end project team.

Responsibilities:

- Coordination with internal teams and external vendors

- Assist structured cabling design in IT rooms and work with vendors on the implementation

- Manage purchase requests required for projects i.e., obtain and review quotations, approval for purchase, submission of purchase requests

- Coordinating tasks required for the project i.e., site access, delivery, installations

- Provide onsite support for installations and physical inspection to ensure quality of work

- Maintaining of project reports, records, documentations

Requirements:

- Knowledge in Data Center operations or implementations, or related experience

- Formal project management training or certifications is a plus

Additional Information:

- Location: HarbourFront

- Working hours: Regular working hours

Maltem Asia is seeking a CAT 1 Data Engineer for a Wealth Management Client based in Singapore.

Summary :

• In this role, you will be supporting the Central Data Service Layer project.

Responsibilities :

• Work closely with business (research analysts, quantitative strategist, end-users, etc), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle, e.g. data onboarding and data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Requirements :

• CAT-1 eligible or cleared candidate is required for this role.
• Possess a degree in Accounting, Finance, Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 5 years of relevant experience in data management, data analytics, and data engineering user.
• Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution, and perform code review.
• Experience in Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
• Excellent written and verbal communication skills.
• Strong interpersonal skills and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Good team player, with strong analytical skills and enjoy complex problem solving.

Responsibilities:

• Develop batch & streaming ETL pipelines for large game datasets
• Work closely with various business stakeholders and data platform team for requirement gathering and process collaboration

Qualifications:

• Degree in Computer Science or related technical field
• Good understanding of Linux, Python and databases
• Good understanding of mobile/PC games is a plus
• Basic knowledge in DevOps

Charles, Lau Ngie Hao License No. 02C3423 Personnel Registration No. R1656741

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by ManpowerGroup Singapore for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012. To learn more about ManpowerGroup's Global Privacy Policy, please visit https://www.manpower.com.sg/privacy-policy

Job Description

• Industry/ Organization Type: Digitization solutions/services
• Position Title: Data Processing Executive
• Working Location: Marymount
• Working Hours: Monday – Friday, 9 am – 6.15 pm
• Salary Package: Up to $1,400
• Duration: Permanent

Key Responsibilities

• Checking all the inward documents with the provided list from customer.
• Document Preparation – Removing documents from bindings, removing staples, removing tags & binders.
• Scanning – Scanning of documents with production scanner.
• Quality Control – Checking all the scanned images with original documents and marking all the errors.
• Capturing indexes from documents and populating them in Excel or Word.
• Filling up all the records and reports required for daily production.
• Helping logistic person to receive and deliver documents from various clients.

APPLY NOW!!!

• Candidates without experience are welcome to apply.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #65852 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Norman Wee | EA Reg No.: R23115114

Position Overview:

We are seeking a highly skilled and experienced Lead Data Engineer to join the bank, with a focus on enabling advanced analytics through the adoption of industry best practices and cutting-edge technologies. As a Lead Data Engineer, you will play a crucial role in driving innovation, piloting new technologies for AI/ML model development, adopting cloud technologies, and leveraging BI tools like Denodo, OAS, and Power BI. This position offers a unique opportunity to shape the future of data engineering within our organization, supporting data-driven decision-making and enhancing our competitive advantage in the financial industry.

Responsibilities:

• Architect and Design: Develop robust and scalable data engineering solutions, including data pipelines, ETL processes, and data integration frameworks, leveraging industry best practices and following a cloud-native approach.
• Technology Evaluation: Research and evaluate new technologies and tools for data integration, analytics, and visualization, proposing innovative solutions to improve data integration and analysis capabilities.
• Advanced Analytics Enablement: Collaborate with data scientists and business analysts to understand advanced analytics requirements and translate them into technical solutions, ensuring seamless integration with existing data infrastructure.
• Technology Evaluation and Adoption: Assess and pilot new technologies, such as AI/ML algorithms, cloud-based services, and BI tools, to enhance data engineering capabilities, optimize data processing performance, and improve data governance.
• Cloud Technologies: Design, build, and maintain data engineering solutions using cloud platforms like AWS, Azure, or GCP, ensuring efficient utilization of cloud resources and adherence to security and compliance standards.
• Team Leadership: Lead a team of data engineers, providing technical guidance, mentorship, and support in executing data engineering projects, fostering a collaborative and high-performing culture.
• Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, data architects, software engineers, and IT delivery, to ensure seamless data flow, optimize data processing, and drive successful project outcomes.
• Documentation and Communication: Create and maintain comprehensive technical documentation, including data models, system architecture diagrams, and process flowcharts. Effectively communicate complex technical concepts to both technical and non-technical stakeholders.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• Proven experience (> 10 years) in data engineering roles, preferably within the banking or financial industry.
• Strong expertise in designing and implementing data pipelines, ETL processes, and data integration frameworks.
• Proficiency in cloud platforms like AWS, Azure, or GCP, with hands-on experience in building data engineering solutions in a cloud-native environment.
• Experience with AI/ML technologies, including data preprocessing, feature engineering, and model deployment, is highly desirable.
• In-depth knowledge of BI tools such as Denodo, OAS, Power BI, or similar platforms for data visualization and reporting.
• Strong programming skills in languages such as Python, SQL, or Java, with experience in working with large datasets and distributed computing frameworks (e.g., Spark, Hadoop).
• Excellent problem-solving and analytical thinking abilities, with a keen eye for detail.
• Leadership skills with the ability to lead and motivate a team towards achieving common goals.
• Effective communication skills, both verbal and written, with the ability to convey complex technical concepts to diverse stakeholders.

If you are passionate about leveraging cutting-edge technologies, driving data innovation, and making a significant impact in the banking industry, we invite you to join our dynamic team as a Lead Data Engineer. Together, we will revolutionize our data capabilities and unlock the full potential of advanced analytics for our organization.

VP, Data Analytics, Group Wholesale Banking Posting Date: 4 Jan 2024 Location: Singapore (City Area), Singapore, Singapore, 048624 Company: United Overseas Bank Ltd About UOB United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values - Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers. About the Department The Wholesale Bank function operates a dynamic business model that provides financial services and solutions to help our clients achieve their strategic business objectives. Our mission is to become the premier-provider of banking services and solutions for Asia-based commercial banking companies (small medium enterprises), large corporations, financial institutions as well as multinational corporations. Our coverage teams work in full alignment with specialised teams across Transaction Banking, Investment Banking, Global Markets and Group Retail to deliver seamless solutions to our clients. Job Responsibilities Lead large scale analytic projects in corporate space to drive for business impact Analyze macro and micro data (structured/less structured) to answer business questions via strategic analysis, machine learning/NLP models. Coordinate with various internal and external business stakeholders to ensure smooth data-to-insights conversion and the necessary of the insights implementation Job Requirements At least 5-10 years' solid data analytics/science experience, deep technical expertise on ML/NLP/OR, with hands-on capability, Python/SAS/R, Hadoop/Spark Excellent problem solver, good understand of financial industry knowledge, consulting experience is a plus Strong sense of responsibility and teamwork Good communication and interpersonal skills to effectively interact with internal and external stakeholders of all levels * Candidates with less years of experience will be considered at lower job grade. Be a part of UOB Family UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application. Apply now and make a difference. Competencies 1. Strategise 2. Engage 3. Execute 4. Develop 5. Skills 6. Experience

Assistant VP, Data Engineer Posting Date: 5 Jan 2024 Location: Singapore (City Area), Singapore, 048624 Company: United Overseas Bank Ltd About UOB United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values - Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers. About the Department Group Technology and Operations (GTO) provides software and system development, information technology support services and banking operations. We have centralized and standardized the technology components into Singapore, creating a global footprint which can be utilized for supporting our regional subsidiaries and the branches around the world. We operate and support 19 countries with this architecture to provide a secure and flexible banking infrastructure. Our Operations divisions provide transactional customer services for our businesses while also focusing on cost efficiency through process improvements, automation and straight through processing. Job Responsibilities The Data Engineer, Microsoft BI Developer & Administrator , is a member of the Data Analytics Technology team. This role will be responsible for the end-to-end software development and support for all work related to projects, quarterly change requests, L3 production fixes. This includes software product implementation and administration, application design, development, implementation, testing and support. You will be expected to work on Finance & Risk Analytics domain. Key responsibilities for this role are: Lead Server Administration activities for SSAS (SQL Server Analysis Services) & SSRS (SQL Server Reporting Services) for On-Premise implementation Build PowerShell scripts required for processing data in SSAS & SSRS reports Analyse and trouble-shoot SSAS, SSRS, Excel Add In and In-Memory related production issues by collaborating with other technical, vendor and business teams; Drive performance tuning Resolve connectivity issues of MBI solution with underlying Teradata / Hadoop based Data Marts & Enterprise Data Warehouse Handle and maintain BAU deployed applications to ensure stability, reliability, security, performance and SLA monitoring in SIT, UAT and production environment Liaise with the end-user and technical solution team to implement solutions that align with the organization's business objectives. Create frameworks, technical features which helps in faster operationalisation of Reporting solutions Independently install, customise and integrate software packages and programs Manage the technical delivery within timeline and with quality Carry out POCs involving new data technologies Ensure end-user satisfaction and meeting service level agreement Create technical documents such as solution design, program specifications for target solutions Maintain and recommend software improvements to ensure a platform centric management of software applications Work on delivering Change Request and Project implementation for Microsoft PBI solutions Involve in UAT, user training, pre-implementation preparation and post-implementation support activities Maintain and support MBI environment Ability to train users effectively to use the reporting tool, to build, customize & schedule reports Job Requirements The right candidate should possess: Min. 6+ years of experience in implementing SSAS & SSRS development & SSAS administration for On-Premise version of Microsoft Power BI Good knowledge of Power BI Server Architecture, expertise in PowerShell scripting Expertise in designing modular scheduling jobs (e.g. using Control-M) for refreshing SSAS In-Memory Models Expertise in performance optimization for SSAS Tabular models using Direct Query and In-Memory Models Experience in optimizing SSAS design by assessing DAX queries hitting Teradata based Data Warehouse & Data Mart Expertise in Windows / NT and SQL Server Administration - monitoring SSAS & SQL Server statistics Expertise in SSAS design, derived measures, SSRS reports & Data Modeling Knowledge of different code standards for SSAS, SSRS & PowerShell scripting; skills in leveraging reusable code components Experience in creating dashboards, volume reports, operating summaries, and presentations and graphs Hands on experience other BI Tools (Qlik) and Big Data tool stacks Knowledge in Data modelling, working with calculations, leveraging the Set Analysis Ensure incorporation of best practices and lessons learnt from prior projects Have Finance & Risk management domain knowledge Worked in large scale data warehouse & on premise Power BI, Qlik based visualisation Be a part of UOB Family UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application. Apply now and make a difference.

The Senior Data Architect role is part of Enterprise Architecture team in OCBC Group Operations and Technology division, focusing on the transformation the existing data architecture and build of the next generation data platform across OCBC Group to support the bank's Digital Transformation. You will bring a vision to modernize OCBC data architecture and develop a multi-year roadmap to bring that vision to life, collaborating with business and technology leads, application architects, data science and data engineering teams across the bank to enable large scale machine learning and analytics use cases. You will act as a thought leader for the organization, defining data platform processes and best practices - engaging senior stakeholders across the group to ensure their continued buy-in on strategic data initiatives. Responsibilities Define roadmap to transform data architecture focusing on scalability, performance and flexibility throughout the entire data life cycle (ingestion, storage and consumption). Maintain data architecture framework, standards and principles including modeling, metadata, security, master and reference data Define reference architecture as a set of patterns that can leveraged by diverse parts of the direction to create and improve data systems. Lead architectural designs solution context diagram and conceptual data model to optimize security, information leverage and reuse, integration, performance, and availability and ensure solutions developed adhere and aligns to the delivered architecture. Consult and influence digital application teams regarding solutions. Collaborate with other staff to design and implement effective technology solutions, while using innovative business and technology processes to identify and implement improvement initiatives, eliminate redundancies, and maximize the reuse of data. Work closely with Solutioning, Infrastructure and project teams to understand their needs and ensure the best data architecture is implemented. Provide training and share best practices across teams regarding data architecture design and solution implementation including review and quality assurance. Develop and apply industry best practice technology, design and methodology approaches to design bank's data architecture. Research and recommend new emerging technologies, techniques and tools that will add value to the organization Qualifications Bachelor's Degree in Computer Science or related discipline. 10+ years of experience designing and building high performance resilient data architectures Strong experience with traditional data technologies (ODS, Data Lake, Data Warehouse). Experience in designing data patterns to support micro-service based application architecture Track record of successfully building container-based big data architectures on top of Kubernetes. Experience in designing systems to efficiently handle real-time and batch use-cases.

The Role Reporting to Head of Data Management Office, you will interact with Data Management Office members and Tokyo Head Office Data Management Department members for driving the development, implementation, standardization and continuous enhancement of the Data Governance operational activities across SMBC APAC, including Data Analytics and Data Utilization. You will work with stakeholders across the bank to drive strategic and effective data utilization and ensure that data is managed in a secure, compliant and ethical manner. Job Responsibilities Set up and build a team in the Data Governance Office to oversee and drive Data Analytics and Data Utilization in the APAC region. Data Utilization Planning and Promotion: Integrate data into business strategies and drive data utilization. Data Culture Promotion: Convey the importance of data within the bank and foster a data governance culture. Training and Education: Develop and conduct training programs on Data Governance and data management. Data Quality Monitoring: Identify and report data quality issues, resolve issues at operational level and promote improvements. Master Data & Metadata Management: Organize and manage master data and metadata to ensure data consistency. Operational Data Management: Work with IT and business units to ensure smooth data flows and proper integration. Job Requirements Bachelor's degree in Information Technology, Computer Science, Engineering or a related field 7-10 years of experience Data Governance in the banking sector or bank related project experience Good understanding of data-related technologies e.g., Database, ETL, Data Warehousing and metadata etc. Good understanding and experience of data utilization and related tools e.g., BI/MIS Tools, Python, AI Proficiency in both English and Japanese is highly preferred as this role needs to prepare reports in Japanese for reporting to Head Office in Japan. This role also needs to present and communicate with stakeholders and counterparts in Tokyo Head Office who mainly communicate in Japanese. Good communication, presentation and interpersonal skill Good project management and facilitation skills Basic understanding and knowledge of Data Governance and Data Management framework and philosophies as defined in the DMBOK (Data Management Body of Knowledge). Ability to work across different functions Ability to work independently as part of a team Work location: One@ChangiCity

Job Summary Singapore Contract JN -112023-1951974 Dec 01, 2023 Competitive Job Description Our client is continuously innovating - creating new technologies, products and services that inspire and excite people everywhere. The main responsibilities for this role include: Providing ongoing application support Participating in different stages of the software development life cycle (SDLC) Conducting user requirement analysis Evaluating potential solutions for business problems Participating in system integration testing Planning and coordinating end-user training Building good relationships with business users Working closely with vendors Supporting the team in defining project requirements and tracking progress Providing 24/7 primary application maintenance standby support Guiding and coaching junior team members Experience in: Databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Greenplum) Data repository design (e.g. operational data stores, dimensional data stores, data marts) Data interrogation techniques (e.g. SQL, NoSQL) Structured and unstructured data analytics. Statistical computing programming language (e.g. R). Data quality tools and processes. Data transformation and terminology equivalence mapping. Requirements / Qualifications: Singaporeans Only Degree / Master in Computer Science, Information Technology, Computer Engineering or equivalent 5 Years experience in providing data warehouses or advanced analytics solutions If you are passionate about technology and driven to make a difference, we encourage you to apply today. To discuss this opportunity further, please apply now or get in touch with Maralene Joshua at We regret to inform that only shortlisted candidates will be contacted. Maralene Joshua Implementation Specialist Morgan McKinley Singapore, Talent Solutions EA License No: 11C5502 Personnel Registration No: R2093737

Job Title: Consultant/Senior Consultant - Data Governance & Global Markets

Position Overview: Join our dynamic team as a Consultant/Senior Consultant in Data Governance & Global Markets, where you'll spearhead transformative initiatives within leading financial institutions. This role offers a unique opportunity to drive innovation across technology, data, and information management, shaping the landscape of client projects and organizational strategies.

Key Responsibilities:

• Collaborate with managers and key stakeholders to ensure the successful execution of client initiatives, with a focus on conceptualizing, designing, and implementing data-driven financial and risk analytics solutions.
• Leverage your expertise to innovate, build, and maintain robust data solutions that address business challenges, including reviewing data requirements and ensuring master data integrity.
• Identify areas for data quality enhancement and implement strategies to resolve data quality issues, working closely with program/project managers and subject matter experts (SMEs).
• Define and implement data strategy, policies, and controls to ensure the accuracy, completeness, security, and reliability of enterprise data, particularly in areas such as client valuation, pricing, and product development.
• Design and implement enterprise data governance and security strategies, including encryption, masking, and authorization methods, to safeguard sensitive information.
• Provide valuable data insights to business and functional teams, recommending enhancements to data consolidation and streamlining data collection and reporting processes through automation.

 

Responsibilities

• Plan, execute, monitor and control the various technical aspect of the project.
• Manage or participate in new setup or upgrade of system/network infrastructure projects.
• Responsible for supporting operational systems satisfying contractual Service Level Agreement
• Perform and manage routine preventive maintenance and operational activities
• Provide project documentation and reports
• Diagnose and rectify technical issue

Requirements

• Experience in Windows server OS, Unix/Linux OS & VM environment
• Good knowledge and hands-on experience with Microsoft SQL Server would be an advantage
• Good Working knowledge with VPN, firewall appliances and Cisco routers/switches
• Excellent written and verbal communication to convey technical ideas to both technical and non-technical audiences and contribute within a team environment
• Pro-active, dynamic and with good analytical/conceptual thinking
• Fresh graduates are welcome to apply

(EA Reg No: 20C0312)

Only shortlisted candidates will be notified.

A great opportunity as a Data Engineer to work in cloud based data engineering, analytics and data management team in a well established company.

Mandatory Skill-set

• Bachelor's Degree in Computer Science or equivalent;
• Minimum 5 years of experience in data engineering and data management;
• Hands on technical experience in Azure Data Factory, Databricks, Synapse, SQL Server Integration Services;
• Strong experience in Python / SAS / R along with Tableau / Power BI;
• Strong experience in gathering business requirements and translating into technical specification;
• Strong analytical skills with high curiosity to deep dive into root cause of problems and suggest solutions;
• Has good stakeholders management experience;
• Attention to technical details;
• Ability to deliver tasks on time with high quality outcome;
• Self motivated and ability to take ownership;
• Strong written and spoken communication skills.

Desired Skill-set

• Azure Data Engineer Certified;
• ITIL certified.

Responsibilities

• Design and develop data models, ETL pipelines, data integration process while ensuring data accuracy and quality;
• Perform data analysis of structured and unstructured data and perform business intelligence initiatives such as build user friendly reports using data visualization tools;
• Analyze ETL requirements from users and provide solutions accordingly;
• Responsible for planning and executing data profiling and data quality analysis;
• Monitor data pipelines, databases and analytical processes to ensure smooth operations;
• Identify and resolve data-related issues, performance bottleneck and data quality problems;
• Design and document data catalogs and data architectures;
• Perform regular data cleansing exercise to ensure that data is of high quality and relevant to the business needs;
• Execute data transformation, correction and aggregations to ensure compliance with business / regulatory requests;
• Build and maintain reports and dashboards using suitable data visualization tools;
• Conduct analysis on the reports and translate the findings into valuable insights to business users;
• Prepare data for prescriptive and predictive modelling;
• Perform database monitoring and performance tuning.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Overview

• Support the organisation's data centre services through active 24x7 monitoring of the infrastructure
• Act as Level 1 escalation point for all onsite operational incidents
• Document and update accurately all requests on the internal Web Portal ticketing system such as user requests, incidents, provisioning, etc
• Deliver ITIL compliance process conformance for incident, problem and change management
• Coordinate and provide support to contractors and vendors as well as inspecting completed work
• Plan and support all preventive and reactive maintenance activities with little to no disruption to company's services

Requirements

• ITE Certificate or Diploma in Computing/Electrical/Mechanical Engineering or related field
• Min 1 year of relevant work experience in 24x7 DC or facility operations environment
• Broad knowledge in DC facilities related systems such as PDUs, UPS, DC Rectifier, DRUPs, CRAUs, DX cooling, fire protections, etc
• Shift schedule is 12 hours rotational (8am to 8pm)/ (8pm to 8am)| 3 days work 2 days off including weekends/public holidays.

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

We regret to inform that only shortlisted candidates will be contacted.

Job Code: PRIT

PERSOLKELLY Singapore Pte Ltd
EA License No. 01C4394
EA Reg No: R1875348 (Tewari Priyanka)

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- International brand with strong presence globally

- Newly established APAC data protection position

Regional Data Protection Officer (APAC) – International Beauty Brand

Our Client

Our client is a renowned international brand that specializes in beauty and skincare products. It is recognised for its commitment to using natural ingredients and traditional methods in crafting its products. With a focus on quality and authenticity, the brand has gained a global presence and is associated with a luxurious and environmentally conscious image.

The organisation is attentive to current Data Protection and regulatory trends and updates. Professionals are sought to manage and assess existing risks, strategize, and define actions, processes, and frameworks at the company level on a daily operational basis.

About the Role

A newly established position for APAC, the Regional Data Protection Officer (DPO) facilitates senior management and teams in the APAC region in establishing and maintaining compliant data protection and privacy practices in accordance with regional laws. This role reports to the APAC Regional Organization, holds direct responsibilities within the Data Protection/Privacy Organization, and collaborates with the Central Data Protection team.

JD

· Assessing, managing and monitoring compliance of regional activities to applicable data protection and privacy laws

· Lead to update/localise existing group Data Protection policies, standards and procedures to conform to internal best practice and local Data Privacy laws / regulations. Develop missing ones.

· Monitoring compliance with the Global Privacy Program across APAC regions including ensuring adherence to data protection-related policies

· Making filings with, responding to, and act as the contact point for the supervisory authority and maintaining relationships with, data protection regulators across APAC

· Acting as a point of contact for data subjects with regards to their requests;

· Generating and regularly update Compliance Management KPIs;

Ideal Candidate

· Bachelor's degree or higher in Business Law, Information Technology Law, or an equivalent field

· Minimum of 5 years of experience with substantial knowledge and expertise in Data Protection/Privacy, with a specific emphasis on the APAC region

· Extensive experience in the realm of data privacy law and compliance, preferably within a multinational organisation

· Solid understanding of Personal Data Protection and Privacy Laws, particularly the GDPR, PDPA, PIPA, APP, APPI, and familiarity with other significant privacy frameworks and legislations in the region

· Qualification on Data Privacy such as IAPP Information Privacy Professional/Asia (CIPP/A) and Europe (CIPP/E), IAPP Certified Information Privacy Manager (CIPM) or Certified Information Privacy Technologist (CIPP/IT), Fellow of Information Privacy (FIP) or equivalent data privacy qualification

What’s on offer?

The job offer includes a comprehensive benefits package designed to support employees' well-being and work-life balance. From competitive health insurance plans to opportunities for professional development and growth, it aims to enhance the overall experience and satisfaction of our team members.

Founded by Temasek & UST, Temus is a start-up on a mission to empower Singapore’s Smart Nation and enhance the lives of citizens.

Our services span from strategic advisory through to digital, data and AI delivery. We work across a wide variety of use cases from financial services, sustainability and environmental science to research, health and public sector. Our focus is on harnessing disruptive innovation to unlock economic and social value enabled by technology.

We are growing quickly, and we are recruiting strong and highly motivated people to join us on this mission.

Key Roles & Responsibilities:

Purpose

• Place client value and human experience at the center of everything we do
• Develop and deliver value to clients by building large scale enterprise data pipelines to capture, transform and store date to support reporting, automated systems and AI/ML Team
• Be a part of a world-class team of experts in Data engineering
• Be a part of a culture of excellence and with confidence, charisma, context, and humility, working effectively at all levels

Delivery

• Delivery of data pipelines to drive material impact and drive disruptive transformation across our clients in public and private sectors
• Support thought leadership development as a team for data engineering and scaling deployments

Partnership

• Work with Temus’ ecosystem of partners to deliver client value
• Adopt a cloud-first strategy to enhance agility and elasticity by partnering with vendors to support specific public sector needs

Requirements:

• Minimum 4 years of designing, building and operationalizing data solutions and applications (with batch or streaming data)
• Hands-on experience with Databricks including setup, configuration, administration on cloud infrastructure followed by on-boarding data sources, building data pipelines and data assets for downstream consumption
• At least 3 years of experience with AWS cloud data platforms (S3, RDS, Glue, Redshift, …)
• Proficient in at least one core language: Python,.Net (C#)
• Experience with setup and administration of Tableau server is an added advantage
• Knowledge of Kafka for data streaming (producer, topics and consumers)
• Excellent understanding on SQL data storage structures and storage/query optimizations
• Mastered SQL querying to build any data presentations using joins, reference tables, groupings, statistics etc.
• Exposure to concepts like Serverless computing, CI/CD, Containerization, Infrastructure as Code, code version control and automated testing
• Strong ability to communicate with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
• Strong ability to develop and maintain relationships amongst clients, colleagues, and partners
• Show active tracks of improving knowledge and skills (e.g. courses, podcasts, books, experimentation, open source volunteering, tech meetups etc.)
• Ability to work independently with minimal guidance
• Ability to work as part of a large team
• Ability to work within an unstructured environment with ability to multitask well

Equal Opportunities

Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.

We see the diversity of our team as a strategic advantage, and we work actively to maintain it.

By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/

We are actively looking for Data Engineer for a permanent position in Singapore. This exciting opportunity is with a well-established global IT service provider known for its excellence in the industry.

Key responsibilities:

• · Designing, building and maintaining data architectures, including databases and processing systems;

• · Acquiring and integrating new data sources;

• · Optimising data pipelines, automating processes where possible and planning for scalability;

• · Developing methods for identifying issues in data quality, reliability and efficiency;

• · Applying appropriate security controls to all relevant collections, databases and systems;

• · Maintaining documentation relating to the design and maintenance of data systems; and

• · Creating and maintaining the infrastructure and analytic tools to allow for efficient data extraction and transformation.

Key skills and qualifications:

• · Degree qualified in data science, computer science, statistics, information systems, or related disciplines;

• · Extensive experience with SQL, Python and R;

• · Experience or familiarity with Airflow, Spark, Hadoop, and PostgreSQL;

• · Experience with data modelling and ETL tools;

• · An understanding or interest in data science or analytics would be advantageous

About Us

We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at [email protected].

Also follow our LinkedIn page for new job opportunities and more.

Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Job duties

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret and report data findings and may create dynamic data reports as well.
• Build and optimizing ‘big data’ data pipelines, architectures, and data sets.
• Performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• To support and develop Data modelling, Data mapping activities.
• Strong analytic skills related to working with unstructured datasets.

Requirements

· Experience with Data engineering tools (Python, Spark (Scala or Python), Hadoop) or relational databases (oracle, MySQL, MS Sql) or NoSQL databases, including Postgres and Cassandra.

· Experience with data pipeline and workflow management tools.

· Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, R, etc

· Bachelor’s degree in IT or Computer Science or Equivalent experience.

Founded by Temasek & UST, Temus is a start-up on a mission to empower Singapore’s Smart Nation and enhance the lives of citizens.

Our services span from strategic advisory through to digital, data and AI delivery. We work across a wide variety of use cases from financial services, sustainability and environmental science to research, health and public sector. Our focus is on harnessing disruptive innovation to unlock economic and social value enabled by technology.

We are growing quickly, and we are recruiting strong and highly motivated people to join us on this mission.

Key Roles & Responsibilities:

Purpose

• Place client value and human experience at the center of everything we do
• Develop and deliver value to clients by building large scale enterprise data pipelines to capture, transform and store date to support reporting, automated systems and AI/ML Team
• Be a part of a world-class team of experts in Data engineering
• Be a part of a culture of excellence and with confidence, charisma, context, and humility, working effectively at all levels

Delivery

• Delivery of data pipelines to drive material impact and drive disruptive transformation across our clients in public and private sectors
• Support thought leadership development as a team for data engineering and scaling deployments

Partnership

• Work with Temus’ ecosystem of partners to deliver client value
• Adopt a cloud-first strategy to enhance agility and elasticity by partnering with vendors to support specific public sector needs

Requirements:

• Minimum 4 years of designing, building and operationalizing data solutions and applications (with batch or streaming data)
• Hands-on experience with Informatica IDMC including setup, configuration, administration on cloud infrastructure followed by on-boarding data sources, building data pipelines and data assets for downstream consumption and data management
• At least 3 years of experience with AWS cloud data platforms (S3, RDS, Glue, Redshift, …)
• Proficient in at least one core language: Python,.Net (C#)
• Experience with setup and administration of Tableau server is an added advantage
• Knowledge of Kafka for data streaming (producer, topics and consumers)
• Excellent understanding on SQL data storage structures and storage/query optimizations
• Mastered SQL querying to build any data presentations using joins, reference tables, groupings, statistics etc.
• Exposure to concepts like Serverless computing, CI/CD, Containerization, Infrastructure as Code, code version control and automated testing
• Strong ability to communicate with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
• Strong ability to develop and maintain relationships amongst clients, colleagues, and partners
• Show active tracks of improving knowledge and skills (e.g. courses, podcasts, books, experimentation, open source volunteering, tech meetups etc.)
• Ability to work independently with minimal guidance
• Ability to work as part of a large team
• Ability to work within an unstructured environment with ability to multitask well

Equal Opportunities

Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.

We see the diversity of our team as a strategic advantage, and we work actively to maintain it.

By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/

Job Description:

• Be part of a team to build and maintain data systems or pipelines.
• Perform setup, installation, configuration, troubleshooting and/or upgrade for COTS products.
• Develop or implement ways to improve data warehouses, data lakes or equivalent platforms.
• Involvement in the creation of documentation e.g. design documents, troubleshooting guides etc.

Job Requirements:

• Diploma/Degree in Computer Engineering/Computer Science/Information Technology or related technical discipline
• Preferably 1 - 4 years' of working experience in related fields.
• Knowledge and/or experience in data management or data engineering
• Experience with Linux commands and shell script
• Knowledge and/or experience in relational (including SQL) or NoSQL database (e.g. document, graph)
• Knowledge and/or experience in one or more of the following will be an advantage:
• o Data / Search / Automation platforms such as Hadoop, Elasticsearch, Ansible respectively
  Data integration tools such as Talend, DataStage, Denodo
  o Programming languages such as Python, Spark
  o Microsoft Azure Cloud services such as Azure Data Factory, Azure Synapse Analytics
  o Analytics platforms such as Databricks, Dataiku, Data Robot
• Good problem-solving skills
• Able to work independently and as a team

(EA Reg No: 20C0312)

Only shortlisted candidates will be notified.

Job description (In Detail):

• At least 5 years of experience working as a data engineer or backend developer in a big data field.
• Solid working knowledge of implementing the optimal data structures and algorithms to create efficient and scalable applications in Java or Python.
• Experience in application integration with Snowflake, Oracle and MS-SQL.
• Experience in the Systems Development Life Cycle implementation methodology (SDLC) and/or agile methodologies like Scrum and Kanban.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment and familiar with shell scripts and command line tools.
• Understand and apply the good industry practice of code versioning, testing, CICD workflow and code documentation.
• Familiarity with AWS services will be an added advantage.
• Good team player, with strong analytical skills and enjoy complex problem solving with innovative ideas.
• Good communication and people skills required to interact with data analysts, business end-users and vendors to design and develop solutions.
• Good at working with details and is meticulous for operations.
• Work closely with data product team and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Design and build robust and scalable data ingestion and data management solutions for batch-loading and streaming data sources.
• Enable ingestion checks and data quality checks for all data sets in the data platform and ensure the data issues are actively detected, tracked, and fixed without breaching SLA.

Work with members in the team to establish best practice and internal processes to enhance the data pipeline operations

SKILLS: Snowflake, CICD, ORACLE, UNIX, LINUX, aws

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

$12-$16 / hr

• Data Entry
• Invoices (Input/Output)

Have to commit 1day per week

Work in office , no WFH

A*STAR is an Accredited Training Organisation (ATO) that has been certified by the Singapore Accountancy Commission (SAC) to possess the appropriate standards of staff training, accountancy resources and development for Singapore CA Qualification candidates to fulfil their Practical Experience required to qualify as a Chartered Accountant of Singapore.

Job Description

1. Create and maintain SAP master data for grants and funds (e.g. fund, cost centre, WBS) for A*STAR research and supporting entities timely upon request from stakeholders.

2. Check supporting documents provided to ensure information contained is complete and in accordance with the overall data schema.

3. Liaise with stakeholders to resolve any discrepancies.

4. Perform closing of project codes timely as per SOP, and any re-opening as required to facilitate operations.

5. Perform regular checks on newly created master data, flag exceptions for follow-up and resolution.

6. Ensure grants documentations are well organised and maintained (e.g. Letter of Awards, variation approvals).

7. Perform month end module closure in SAP.

8. Any ad-hoc tasks as required.

Job Requirements

• Qualifications in Accountancy or Finance with 3 to 5 years of relevant experience. Candidates without experience, but display good aptitude may be considered.

• Good command of MS Office application.

• Meticulous, organised and possess good communication skills.

• Knowledge of SAP and BI reporting tools will be advantageous.

Job Description:

• Be part of a team to build and maintain data systems or pipelines.
• Perform setup, installation, configuration, troubleshooting and/or upgrade for COTS products.
• Develop or implement ways to improve data warehouses, data lakes or equivalent platforms.
• Involvement in the creation of documentation e.g. design documents, troubleshooting guides etc.

Job Requirements:

• Diploma/Degree in Computer Engineering/Computer Science/Information Technology or related technical discipline
• Preferably 1 - 4 years' of working experience in related fields.
• Knowledge and/or experience in data management or data engineering
• Experience with Linux commands and shell script
• Knowledge and/or experience in relational (including SQL) or NoSQL database (e.g. document, graph)
• Knowledge and/or experience in one or more of the following will be an advantage:
• o Data / Search / Automation platforms such as Hadoop, Elasticsearch, Ansible respectively
  Data integration tools such as Talend, DataStage, Denodo
  o Programming languages such as Python, Spark
  o Microsoft Azure Cloud services such as Azure Data Factory, Azure Synapse Analytics
  o Analytics platforms such as Databricks, Dataiku, Data Robot
• Good problem-solving skills
• Able to work independently and as a team

(EA Reg No: 20C0312)

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

We are hiring an Assistant director for our data protection team who will be driving the development and implementation of data protection policies and processes, to ensure Synapxe's compliance with the Healthcare Instruction Manual(HIM) and regulatory requirements such as the PDPA

Roles and Responsibilities

· Ensure organisation's compliance to the PDPA and data protection policies which includes the development and maintenance of the Data Security Maintenance Plan (DSMP)

· Provide updates on data protection compliance to senior management

· Monitor the handling of personal data across the organisation

· Oversee the maintenance of records required to demonstrate data protection compliance

· Develop and conduct Data Protection Impact Assessments (DPIA) to identify, assess and address the risks

· Propose measures to manage risks associated with the collection, use, disclosure and storage of personal data

· Manage and report any breaches according to the organisation's data breach management process including incident response, notifications of affected individuals, investigations and closure

· Drive awareness of PDPA and Data Protection requirements in the organisation including the development training programmes to foster a strong data protection culture

· Provide advisory services on data protection issues, including specific data-related products and projects and contractual obligations (alongside the Legal team)

· Act as the organisation's key point of contact with the PDPA regulatory authorities and to data subjects when exercising their individual data rights

Requirements

· University degree in Business, Computer Science, Engineering or equivalent

· At least 10 years of data protecion experience

· Proficient in MS Office applications

· Good interpersonal and communication and written skills

· Knowledge in enterprise risk, IT security operation, IT incident management, project management, legal, compliance, and IT audit is an advantage

· Fundamentals of PDPA/CIPP/CIPM/CIPT or other relevant certification