Total 3,960 data entry clerk job vacancies in Information Technology category in Singapore

Nityo Infotech Services is looking for a Data Center System Operator (Entry Level). This is a permanent role with Nityo.

Responsibilities:

· 1st main task:

* monitor the health of the Mainframe Computer & Server via a console, which is a large computer monitor

* 3 status light, GREEN, AMBER, RED

* GREEN = everything is running well

* AMBER n RED = Systems displaying some problem

* require to escalate to Level 2 trouble shooting (Systems Administrator; Computer Engineer

· 2nd main task:

* help to do DATA Backup when on night duty, depending on which data centre you are deployed to

· Other ad-hoc tasks:

* print reports/ receipts

* escort Contractors into the data centre

Requirements:

· Min. 'O' Level Pass in Mathematics

· Candidate attending regular academic courses will NOT be considered

· Example of a Typical Shift Pattern (varies with different DCs)

2 rotational shifts: eg. 8.30am - 8.30pm; 8.30pm - 8.30am

*Work 3 days, Rest 2 days; Work 3 nights, Rest 2 days.

· 16 shifts/ 4-weeks. Weekends or PH could be a work day, or off day, depending on the roster

· Expected to cover up to 17 to 18 shifts /4-weeks period.

Working location: Singapore General Hospital / KK Hospital (to be allocated by hiring manager)

This is the pay structure for entry level Sys Ops, there will be NO other allowances/AWS/Bonus etc.:

• $2000 - $2144 (incl. of shift allowance);

• 1-day salary /PUBLIC HOLIDAY (applies for both shifts or rest days)

JOB RESPONSIBILITIES:

• Update and maintain client’s dental records
• Perform routine dental cleanings and assist the dentist with complex dental procedures
• Take and process X-rays of patients
• Schedule patient appointments
• Take billing and insurance details from patients
• Advise patients on recommended oral hygiene

WORKING HOURS:

• MON 08:30-18:15
• TUE 12:00-21:45
• WED OFF
• THU 08:30-18:15
• FRI 12:00-21:45
• SAT OFF
• SUN 08:30 -17:15

JOB REQUIREMENTS:

• Min Nitec in any course
• No Need Experience , Training Provided

All qualified applicants, please click “ APPLY NOW”

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

About the Client

Our client is one of the reputed MNC firms in Singapore

Responsibilities

• Develop, maintain, and tune highly complex scripts using Python and Big Query.
• Managing and designing solutions related to Data Engineering, Data Analysis, Data modelling, Data Warehouse, Data security, ETL
• CI/CD Implementation of cloud solutions.
• Automation of Infrastructure deployment using Terraform and GitHub Actions.
• Develop analytical functionality and complex transformation that will be finally deployed in production data-platforms.

Skills/Requirement

Must have Skills:

· Bachelor’s degree in Computer Science or a related field.

• To be able to independently work on and assist in GCP projects across the organization wherein on-premise applications would be migrated onto Google Cloud platform and work as an individual contributor.
• Manage communication with client, independently drive and deliver application modules.
• Good experience on Google Cloud Platform, Cloud Storage, Big Query,Dataflow,Dataproc,Composer,Python,Pyspark ,Terraform, GitHub and data pipeline development.
• Hands on experience ingesting source files ( csv/jsons/xmls) as source to GCP.
• worked on GCP real-time implementations(Migration project exposure)
• Candidate should also have good understanding of data landscape and should be able to understand end to end architecture.
• Having exposure to Banking domain is a plus
• Skills required ETL, Python, cloud, Terraform,Pyspark,GitHub, FSLDM

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

PERSOLKELLY Singapore Pte Ltd
EA License No. 01C4394
EA Registration No. R1547247 (Jyothi Chandrakanth Kamath)

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

The information contained in this e-mail and any accompanying documents may contain information that is confidential or otherwise protected from disclosure. If you are not the intended recipient of this message, or if this message has been addressed to you in error, please immediately alert the sender by reply e-mail and then delete this message, including any attachments. Any dissemination, distribution or other use of the contents of this message by anyone other than the intended recipient is strictly prohibited.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an emailto let us know. Please feel free to contact us if you have any queries.

All parties involved in any form of workforce engagement are to strictly adhere to prevailing regulations and laws that govern local fair employment practices, and to invest reasonable efforts in building a strong Singaporean core workforce, recruit and select candidates based on merit and prohibit discrimination based on age, race, gender, religion, marital status and family responsibility or disability. For more information, please refer to MOM and TAFEP websites.

**********************************

Mandatory Skills

• Possess a degree in Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 3 years of relevant experience in data management, data analytics, 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.
• Familiarity with data virtualization tool 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.
• Excellent written and verbal communication skills.
• Strong interpersonal skill and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem solving.
• Experience with the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.

Skillsets (Good to have)

Brief Job Description

• Support Central Data Service Layer (CDSL) 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, 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.

Mandatory Skills

• Possess a degree in Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 3 years of relevant experience in data management, data analytics, 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.
• Familiarity with data virtualization tool 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.
• Excellent written and verbal communication skills.
• Strong interpersonal skill and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem solving.
• Experience with the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.

Skillsets (Good to have)

Brief Job Description

• Support Central Data Service Layer (CDSL) 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, 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.

1) Checking and audting of submitted documents

2) Folllowing up for outstanding documents

3) Preparation and final submission.

4) Monitoring Payment

5) Prcessing Payment

6) Disbursement of Fees

7) Attending to clients' queries

• Batch job processing and escalation(execute batch jobs in AS400 & Control-M as per runbook)
• Alert monitoring and escalation to relevant parties (Alert monitoring & escalation using AppManager, OpsManager & email alerts)
• Data Centre monitoring, access & inventory management (Ensure the security & safety of Data Centre.
• Process access & delivery clearance for data centre.
• Data centre inventory & access log verification)
• Password Management
• Provide half password management. Carry out physical password safekeeping as per Standard Operating Procedure
• Release management using Aldon LMi/LME)
• Carry out release management using Aldon LMi or LME upon request
• Data Centre CCTV , electronic keypress management & maintenance support
• Support and maintain CCTV & keypress system. Escort and support the maintenance service of CCTV electronic keypress system by vendor
• After office hours Helpdesk support
• Stand-in for Help Desk support after office hours if needed.
• Tape media management (Process tape recall request, mount & discount tape at tape library, maintain inventory records)

Working Pattern: 12 hours shift based on roster

Working Location: Changi Business Park Plaza 8

On behalf of our client we are looking for Data Centre Operator to work on one on one basis on various tasks.

Job role

• Responsibilities include but are not limited to the following:
• Rack and install a large inventory of servers, storage, networking gear, data center gear and serial consoles in our production environment.
• Perform initial configuration and provision for deployment: servers, network gear and various infrastructure related equipment (Console/ILO) configurations for sys-admins
• Perform stringent site management and planning for production deployments and growth
• Troubleshoot and remedy hardware issues, and provide a detailed report to management/administrators
• Manage local vendors for procurement/installations/remediation
• Manage RMA/EOL/Disposal processes with various sources
• Maintain an up-to-date inventory list of all hardware equipment for locations
• Implement and follow best-practice methodology for maintaining a MDF/IDF environment for power/cooling/cabling
• Track MDF/IDF related issues and tasks via our ticketing system.
• Minimum 1-year experience working in computer rooms including:
• Datacenter best practices including cabling, power balancing, cooling, inventory tracking, and more
• Experience in performing hardware troubleshooting in a Small to Medium-scale server/storage/networking environment
• Hands-on and certified professional experienced with Windows, Unix, and IP networking
• Basic system administration skills for servers, storage, and networking devices
• Ability to lift 20KG safely and reliably regularly.
• Over 1 year proven system administration skills for servers, storage, and networking devices including:
• Proven experience using data center management tools
• Proven track record for working alone, or remotely with minimal supervision
• Excellent written and verbal communication skills in English, as well as, strong interpersonal skills at all levels or the organization
• Take pride in keeping a clean and tidy work environment within the MDF/IDF rooms.
• Self-motivated and able to work alone efficiently and without close supervision
• Excellent written and verbal communication skills, as well as, strong interpersonal skills.

Kindly be informed that only shortlisted candidates will be contacted.

Gomes Divya.

Direct line: 66318505 (Ext.405)

Email: [email protected]

Personnel Registration Number: R22108982

PRODUCT AREA

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

JOB DESCRIPTION

The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components). You provide daily assistance to senior technicians as you read blueprints/schematics, conduct tours of systems and assess their working order.

As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.

Qualifications

JOB RESPONSIBILITIES

• Operate, maintain, troubleshoot, and repair electrical equipment in a Data Center environment. Provide Root Cause Analysis (RCA), recovery, and prevention actions for service failure.
• Prepare and execute operation procedures, respond to work request/service failure, and provide operational and technical expertise in required areas. Coordinate vendor support in repairs/replacement and support project implementation (site acceptance tests, factory acceptance tests, site inspection for defects, etc.).
• Improve site WUE and PUE, operational efficiency, and minimize environmental impact. Develop a good understanding of the infrastructure design and sequence of operation.
• Prepare and conduct training/sharing to the team. Ensure safety rules and regulations associated with operating infrastructure.

MINIMUM QUALIFICATIONS

• Associate's degree, trade school certification, verifiable training in a relevant technical field, or equivalent practical experience.
• Experience with electrical, mechanical, and controls systems including: Feeders, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDU/PMM units, Chillers, Air handling units, and CRAC units.
• Experience in troubleshooting.
• Ability to work non-standard, on-call rotation weekend hours.

PREFERRED QUALIFICATIONS

• Electrical Technician's Licence.
• Experience troubleshooting for electrical systems.
• Knowledge of industrial networking and coordinating with others in order to determine problems and implement solutions.
• Familiar with SCADA, Power monitoring system, building monitoring system, and PLC programming.
• Ability to work in varying outdoor temperature conditions and perform material handling (lifting/shifting) to work on platforms, ladders, and under raised floors.
• Ability to learn quickly and address issues as they arise during normal operations or during emergency conditions and follow the site’s environmental health and safety policies.

Contract: 1 year

Location: Redhill

Responsibilities

• Collecting and analysing data
• Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements

• Degree
• Good analytical skills
• Proficiency in Excel and SPSS, is preferred
• Experience with data analysis and/or conducting qualitative analysis will be advantageous

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd

• RCB No. 200007268E

• EA License No. 01C4394

• EA Registration No. R24120918 TAM SEE MIN

The Role

As a Master Data Management and Governance Leader, you will be responsible for overseeing the management and governance of critical data assets within the organization. You will play a pivotal role in ensuring data integrity, accuracy, and compliance with regulatory standards. This position requires a strong understanding of data management principles, attention to detail, and the ability to collaborate across various departments to drive data governance initiatives forward.

Responsibilities we will trust you with:

• Lead the Master Data Organisation in designing, implementing and maintaining a comprehensive data governance framework that aligns with organizational objectives and regulatory requirements.
• Define Data Standards and Policies: Work with across the organization to establish data standards, policies, and procedures to ensure consistency, accuracy, and integrity across all data assets.
• Data Quality Management: Define data quality metrics and develop implementation strategies to improve data quality throughout its lifecycle.
• Master Data Management (MDM): Lead the master data management team, including the creation, maintenance, and enrichment of master data records.
• Collaborate with Stakeholders: Work closely with cross-functional teams, including IT, finance, operations, and compliance, to understand data requirements, address issues, and promote data governance best practices.
• Data Stewardship: Define and Assign roles and responsibilities for data stewardship and establish processes for data stewardship activities, such as data cleansing, validation, and reconciliation.
• Compliance and Risk Management: Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and industry standards. Identify and mitigate risks associated with data governance processes.
• Training and Awareness: Create learning programs and Conduct training sessions and awareness programs to educate employees on data governance principles, policies, and procedures.
• Continuous Improvement: Continuously evaluate and refine data governance processes to adapt to evolving business needs and technological advancements.

Your areas of knowledge and expertise that matter most for this role:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Proven experience (1-5 years) in data governance, master data management, or related fields.
• Strong understanding of data management principles, data governance frameworks, and regulatory requirements (e.g., DAMA-DMBOK).
• Proficiency in data analysis tools and techniques. Experience with data governance software/platforms is preferred.
• Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
• Strong analytical and problem-solving abilities, with keen attention to detail.
• Ability to work collaboratively in a cross-functional team environment.

What you can expect from us:

• Work on world-class security projects renowned for their safety, reliability, and efficiency.
• Commitment to your ongoing development, including on-the-job opportunities, formal programs, and assistance with further education.
• Community volunteering opportunities.
• A competitive remuneration package featuring performance-based incentives, medical insurance, and a dental allowance.

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

We Are BCG X

We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.

What You'll Do

Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.

As a Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.

Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.

We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following:

• Comfortable in a client-facing role with the ambition to lead teams
• Likes to distill complex results or processes into simple, clear visualizations
• Explain sophisticated data science concepts in an understandable manner
• Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
• Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data
• Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients
• Have strong project management skills

What You'll Bring

• Master’s Degree or PhD with significant relevant experience providing advanced analytics solutions. The degree should be in computer science, applied mathematics, statistics, machine learning, or a related data centric field.
• Demonstrated deep technical and data science expertise, acute strategic and analytical skills, ability to lead and persuade, drive and energy, and desire to work in a project-based environment on strategic issues.
• Strong record of professional accomplishment and leadership.
• Fluency in at least one scripting language (e.g. Python, R)

Additional info

Ability to travel based on client and business needs. Expect 30-50%

Contract: 1 year

Location: Redhill

Responsibilities

• Collecting and analysing data
• Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements

• Degree
• Good analytical skills
• Proficiency in Excel and SPSS, is preferred
• Experience with data analysis and/or conducting qualitative analysis will be advantageous

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/apply/7636

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Senior Data Engineer In this role, you can expect to: ● Support the business’s goal of democratisation of data and data products. ● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting. ● Collaborate in partnership with diverse teams across organization such as product engineering, data science and business stakeholder teams to successfully deliverbusiness outcomes. ● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads. ● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and organization publications to deliver innovative and game changing data products and use cases. ● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases. ● Implement cloud-based scalable and reliable data pipelines at significant scale. ● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes. You should be able to: ● Build and maintain streaming and batch data pipelines. ● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts. ● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs. ● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products. ● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg. ● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports. ● Adhere and have practised Agile Methodology such as Scrum. ● Implement adhering to Master Data Management Best Practices and Principles. ● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling. It would be great if you had: ● At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles. ● Experience in data-related infrastructure deployments using Terraform Cloud. ● Experience in using Git for version and release management with knowledge in branching strategies. ● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight. ● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight. ● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts. ● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders.

Senior Data Engineer In this role, you can expect to: ● Support the business’s goal of democratisation of data and data products. ● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting. ● Collaborate in partnership with diverse teams across organization such as product engineering, data science and business stakeholder teams to successfully deliverbusiness outcomes. ● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads. ● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and organization publications to deliver innovative and game changing data products and use cases. ● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases. ● Implement cloud-based scalable and reliable data pipelines at significant scale. ● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes. You should be able to: ● Build and maintain streaming and batch data pipelines. ● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts. ● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs. ● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products. ● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg. ● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports. ● Adhere and have practised Agile Methodology such as Scrum. ● Implement adhering to Master Data Management Best Practices and Principles. ● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling. It would be great if you had: ● At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles. ● Experience in data-related infrastructure deployments using Terraform Cloud. ● Experience in using Git for version and release management with knowledge in branching strategies. ● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight. ● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight. ● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts. ● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders.

In this role, you can expect to: ● Support the business’s goal of democratisation of data and data products. ● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting. ● Collaborate in partnership with diverse teams across organization such as product engineering, data science and business stakeholder teams to successfully deliverbusiness outcomes. ● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads. ● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and organization publications to deliver innovative and game changing data products and use cases. ● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases. ● Implement cloud-based scalable and reliable data pipelines at significant scale. ● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes. You should be able to: ● Build and maintain streaming and batch data pipelines. ● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts. ● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs. ● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products. ● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg. ● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports. ● Adhere and have practised Agile Methodology such as Scrum. ● Implement adhering to Master Data Management Best Practices and Principles. ● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling. It would be great if you had: ● At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles. ● Experience in data-related infrastructure deployments using Terraform Cloud. ● Experience in using Git for version and release management with knowledge in branching strategies. ● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight. ● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight. ● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts. ● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders

Salt is looking for a Data Center Operations Assembler on a 6 months contract for a leading client. In this role you will provide support for the ongoing operations in client's data centers located at 22 Loyang Drive , North-East, Singapore. You will replace parts, run cable, populate and depopulate racks, swap tapes and other various manual operations related tasks. You will also work as a member of a larger, coordinated team.

Key Responsibilities:

Transfer tools, parts, equipment, and supplies to and from work stations and other areas.

Maintain cleanliness of working environment Assemble/disassemble and populate/depopulate equipment racks.

Disassemble broken or failed hardware equipment and replace parts per defined process using hand and / or power tools

Run/install ethernet and fiber optic cable per defined process

Operate barcode scanners and associated software tools

Follow detailed instructions and perform other tasks as directed.

Must possess a positive attitude and be be able to work well within a team oriented environment

Minimum Qualifications:

High school diploma. In lieu of education, 2 years of relevant experience. 3 years of general work experience in some skilled (non-technical) field Speak and write English and fluently and idiomatically.

Strength: Medium to heavy materials handling required e.g. lifting, pushing/pulling, etc. Must be able to exert muscle force to lift at least 50 lbs (23 kg)

Preferred Qualifications:

Stamina: Must be able to exert yourself physically over extended periods of time including frequent bending, kneeling, climbing, pushing / pulling and lifting

Manual dexterity: Must be able to perform component level repairs on equipment

Comprehension: Must be able to understand and execute frequent oral and written instructions

Attitude: Must possess a positive attitude and be be able to work well within a team oriented environment Environment: Must be comfortable working in a physically demanding environment

Shift-work / Holidays: Must be willing and able to be flexible in work schedule, including working holidays and shift based schedules

If keen, please share your updated CV at [email protected] or apply directly.

(CEI No: R1654663 / EA No: 07C3147)

Bigdata Data Engineer

• 10+ years of experience required in Big Data such as Hadoop
• Working Experience in ECS(Open Shift), Shell scripting
• Experience in Financial sector is an advantage
• Resource should be able to work with multiple stakeholders/teams
• Should be able to understand the application data model and able to explain the functional requirements to stakeholders
• Need to take the ownership for the tasks assigned and deliver them successfully
• Quick understanding the new concepts and application details
• Strong communication and presentation skills

Responsibilities:

• Structures the technical work of a portion of a project or a small project
• Provides technical leadership to team members
• Develops or assists in the development of technical strategy
• Creates or assists in the creation of project plans
• Assists in the design of the systems and application programs
• Manages, monitors and communicates the execution of a project plan, including quality and completion of own work while simultaneously monitoring the work of team members

Job Description:

Contribute to strategic initiatives and support management in driving department transformation – As a valued member of the team, you will have the opportunity to actively contribute to strategic initiatives and support management in driving transformative changes within the department. Your insights and expertise will be instrumental in shaping the future direction of the data centre and its operations, enabling us to stay ahead in a rapidly evolving industry.

Be part of the transformation team to change the way we work in data centre and its operations – As a member of the transformation team, you will play a vital role in driving change and innovation within the data centre and its operations. You will actively participate in identifying areas for improvement, implementing new processes, and fostering a culture of continuous improvement.

Acts as the first-line problem solving reference point, addressing computer operations / batch operation issues as they occur and escalating problems – You will serve as the primary point of contact for troubleshooting and resolving computer operations issues, provide immediate support and escalate problems as necessary to ensure timely resolution.

Supervise the development and implementation of new procedures to improve computer operations and efficiency – You will lead the development and implementation of new procedures to enhance the efficiency of computer operations while ensuring adherence to established procedures and standards.

Drive daily huddles with team members to review work assignments and project tasks, set priorities, and communicate issues – You will conduct daily huddles with team members to review ongoing work assignments and project tasks by setting priorities and provide clear guidance on expectations and deliverables

Regional collaboration for computer operations to determine current state and potential for synergistic operations – You will collaborate with regional teams to assess current service levels and identify areas for improvement by gathering feedback and requirements to enhance the quality and efficiency of computer operations.

Develop and enhance new/existing documentation and procedures for key activities and processes – You will develop comprehensive documentation and procedures for activities and contribute to the development of department-wide standards and policies.

Ensure batch operations checklists are maintained for operational status and problem history – You will provide oversight by maintaining and updating batch operations checklists to track operational status and ensure incoming shifts have a comprehensive understanding of operational history.

Coordinate the Data Center scheduled shutdown with all related business unit to ensure completeness of the activity – You will coordinate and plan the data centre scheduled shutdown activities by collaborating with all related business units to ensure a smooth and complete shutdown to minimize disruptions and ensure successful execution.

Qualification Requirements:

• Diploma or Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience in data center operations, with a managerial or supervisory role is an added advantage.
• Strong knowledge of data center batch operations, computer systems, and networking technologies.
• Proficiency in Python programming language.
• Experience in SQL and R/ Python (Or other tools for statistical analysis) and data visualization tools for statistical reporting is an added advantage.
• Proficiency in UI/UX design principles and methodologies.
• Experience in designing user-friendly interfaces and enhancing user experience.
• Ability to translate complex information into intuitive and visually appealing infographics.

Working Experience/Skills:

• Proven experience in driving automation and process improvement using Python.
• Hands-on experience with Python libraries and frameworks such as NumPy, Pandas, or Django.
• Have a strong sense of ownership and pride in your performance and its impact on the company's success.
• Possess critical thinking and problem-solving skills to manage issues that surface over the course of work quickly and efficiently.
• Be a team player with excellent consultative and communication skills, proven ability to work effectively with internal and external IT/non-IT stakeholders, vendors, and consultants.
• Knowledge and working experience with an understanding in data centre key operation functions, including enterprise reporting, enterprise scheduling, data centre operations and data centre facilities management, would be a plus.

Project Description:

We are seeking a highly skilled and experienced Data Engineer to join our Data & Analytics team. The ideal candidate will have a strong background in Snowflake SQL, investment reporting data, and financial knowledge related to investment management. As a Data Engineer, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support investment reporting and analytics.

Responsibilities:

• Data Infrastructure Development:
  - Design, implement, and maintain scalable and efficient data pipelines using Snowflake and SQL.
  - Develop data models, ETL processes, and data integration workflows to ensure high data quality and reliability.
  - Optimize data storage and retrieval performance in Snowflake.
  
  Data Manipulation and Transformation:
  - Perform complex data manipulation and transformation using SQL to prepare data for analysis and reporting.
  - Implement data cleansing, aggregation, and enrichment processes to ensure data accuracy and consistency.
  - Develop and maintain reusable SQL scripts and stored procedures for data processing.
  
  Collaboration and Support:
  - Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet their needs.
  - Provide technical guidance and mentorship to junior data engineers and other team members.
  - Work closely with IT and DevOps teams to ensure seamless data integration and deployment.
  - Data Layer Preparation:
  
  Design and build data layers to support various analytical and reporting needs.
  - Ensure data layers are well-documented, easily accessible, and performant.
  - Implement data governance and security best practices to protect sensitive information.
  - Performance Tuning and Optimization:
  
  Monitor and optimize the performance of data pipelines, databases, and queries.
  - Identify and resolve performance bottlenecks to ensure timely and efficient data processing.
  - Stay up-to-date with the latest trends and best practices in data engineering and apply them to improve our data infrastructure.

Mandatory Skills Description:

• Education:
  - Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
  
  Experience:
  - Minimum of 5 years of experience in data engineering, with a strong focus on SQL and data manipulation.
  - Proven experience working with Snowflake or other cloud-based data warehousing solutions.
  - Strong background in designing data model and building scalable data pipelines and data models.
  - Solid understanding of financial instruments, investment operations, investment reporting and portfolio management concepts.
  - Knowledge of investment performance measurement, risk analysis, and portfolio management concepts.
  
  Skills:
  - Expert-level proficiency in SQL, with the ability to write complex queries and optimize them for performance.
  - Strong experience with ETL tools and processes.
  - Familiarity with programming languages such as Python.
  - Knowledge of data governance, security, and compliance best practices.
  - Excellent problem-solving and analytical skills.
  - Strong communication and collaboration skills.

• 5+ years of IT experience with hands-on expertise in data analysis and Oracle SQL /UNIX Scripting.
• Experience in Financial sector is an advantage
• Resource should be able to work with multiple stakeholders/teams
• Should be able to understand the application data model and able to explain the functional requirements to stakeholders
• Need to take the ownership for the tasks assigned and deliver them successfully
• Quick understanding the new concepts and application details
• Strong communication and presentation skills

Your new company

Be a part of a global tech company, engaging in new technologies.

Your new role

* Structure data sets in order to launch a new sales optimisation process

* Perform large scale data analysis to identify trends and efficiency opportunities
* Support implementation and optimization for company’s Programmatic monetization and Platform solutions.
* Support sales users through our email customer service tools.
* Troubleshoot account issues where required and provide account administration support.
* Contribute to automation efforts and offer possible solutions to increase operational efficiencies.
* Perform other administrative and operational role-related tasks such as: creating reports, presentations, communicating with stakeholders.

What you'll need to succeed

* Creative problem-solving, analytical skills, comfortable handling and interpreting data.

* 3 years of work experience with Account Management, Ad Operations or Project Management (experience with AdX, AdSense, AdMob, and DFP a plus).

* Broad understanding of online advertising solutions (i.e. ad serving, monetization) and of key platforms and trends (i.e. desktop, mobile, video).

* Written and oral fluency in English.

* Advance knowledge of Microsoft Office Suite: Excel, Word, PowerPoint & SQL.

* Strong professional etiquette, organizational skills and attention to detail.

* Ability to work through large volumes of support requests from our internal Sales customers within specified time frames.

What you'll get in return
This is an exciting opportunity to join a global firm. You will be part of a dynamic team and you will be remunerated at market competitive rates.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call Denise at Hays on +65 9611 0531 or email [email protected] for a confidential discussion.

Referrals are welcome.

EA Reg Number: R21103035

EA License Number: 07C3924 | Company Registration No: 200609504D

Job Description

SIA has multiple positions for generative AI/deep learning experts to drive our AI and data science initiatives.

Key Responsibilities include:

• Member of the in-house AI Center-of-Excellence team that works on challenging problems in advanced AI (including areas on generative multimodal AI, autonomous agent, NLP, computer vision, recommender system), mathematical optimization, game theory, and experimental design.
• Research and develop advanced machine learning algorithms to meet complex product requirements. The scope includes defining hypotheses, executing necessary tests and experiments; evaluating, tuning and optimizing algorithms and methods; and having an eye towards cloud implementation ease, scalability, and robustness in a live customer facing production environment.
• Provide technical direction and guidance to a small and highly skilled team of junior and senior data scientists embedded in Kanban data squads. These squads deliver products/services in generative AI, data science and data analytics to stakeholders in a large number of business units. Serve as a go-to technical expert in your area of AI expertise.
• Work closely with business stakeholders to create impactful and intelligent features/products. Collaborate with other team members including data scientists, data engineers and data strategists. Strategic ownership of all critical end-to-end AI processes.
• Administer/maintain performant cloud and on-premises GPU compute resources that train large ML models and provide inference API microservices in production.

Requirements

• PhD degree related to computer science, machine learning or other AI disciplines is required (consideration will be given to exceptional candidates without advanced degrees).
• Demonstrated intellectual firepower as a rapid problem-solver and tech lead.
• Advanced programming skills in Python. Strong technical skills in algorithm design/analysis, data structure and SQL. At least intermediate-level mastery of functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java or C# is a must.
• Hands-on proficiency in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• 3 or more years of relevant industry experience as a hands-on technical expert in shallow and deep machine learning, with additional specializations in most of the following areas:

1. Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involving multi-agents and prompt engineering using LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Highly conversant with GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Demonstrated ability in rapidly adapting, training and deploying state-of-the-art AI models or services in production based on the latest published research papers and open-source code.
4. Familiarity of Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Significant hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Excellent mentoring, interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Job Description

At its core, this is a principal software architect position - with prior working experience as a software developer implementing, e.g., modern distributed systems, cloud-based data lakes, and open-source data engineering platforms. The successful candidate will play a lead role in the Data Engineering and Analytics team of Scoot’s Information Technology Division.

Key Responsibilities

• Provide technical leadership and guidance for data engineers in Scoot. Drive the overall technical vision and roadmap for evolving Scoot’s distributed data management systems and data analytics.
• Be an effective implementer and technical mentor for the team in the following core activities:Design and develop new systems architecture for data engineering services and their ecosystem, including distributed databases (relational, columnar, graph, in-memory); cloud DevOps with IaC (Infrastructure-as-Code); and other big data technologies.
  Maintenance and evolution of existing Google Cloud data warehouse/data lake systems.
  Design data models for mission-critical and high-volume near-real-time data; build idempotent/atomic production data pipelines to make data ingestion robust and fault tolerant.
• Assist in the stakeholder management and resolve resource conflicts within or between agile teams. Lead projects involving high level of coordination among departments and business areas.
• Any relevant ad-hoc duties.

Requirements

• BS degree in Computer Science or a related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.
• 7 years or more relevant industry experience in the following technical areas:

1. At least intermediate-level knowledge and experience with Google Cloud and its best practices. AWS cloud experience is a plus.
2. Advanced programming skills in Python. Conversant with data structure, algorithm design/analysis, and SQL. Substantial exposure on functional/object-oriented programming using a modern programming language (such as Scala, Java, C#, and TypeScript/JavaScript) is a plus.
3. Exposure in the use of workflow/map-reduce and stream processing systems for big-data processing, such as Spark and Kafka.
4. In-depth understanding of modern ETL methodologies. Experience in building data pipelines using modern data ingestion platforms, including open-source ones.
5. Experience in the deployment of object stores and data warehouses - such as Amazon S3, and Google GCS and BigQuery.
6. Experience in modern software development is a plus (such as in web frontend UI and backend API microservice).

• Proven experience in technical leadership. Capable of mentoring a data engineering team in delivering on multiple competing priorities with little supervision. Seasoned resource estimation, planning, and negotiation skills to work with diverse stakeholders.
• Prior experience with managing software development teams using Agile/Scrum/Kanban methodology is a plus.