Salary: $3,000 - $4,500/month

Responsibilities:

• Pull, consolidate and organise monthly financial reports (related to service costs) by extracting and defining relevant information
• Support and co-ordinate with various stakeholders to prepare data/report for service repair cost forecasting/budgeting activities for analysis on a timely basis
• Prepare Powerpoint presentations to effectively communicate financial data to stakeholders
• Participate/support projects under strict timelines

Requirements:

• Diploma in Business/Statistics/Mathematics/Accounting/Finance or any related field
• Minimum 1 year’s hands-on work experience with statistical reporting and data analytical skill with minimal training
• Must be proficient with Excel Macros, Pivot Table, Vlookup
• Must be comfortable with handling large data in Excel

Should you be interested in this position, please contact Terence at +65 9645 4048 your resume directly for fast respond.

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.

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. R23116141 Le Cong Thang

Main Responsibilities

• Develop features specified by the business analyst and prioritised by the product owner
• Participate to the necessary technical meeting
• Participate to agile meetings (daily, retrospectives, etc.)
• Participate to non-regression campaigns
• Be an active participant of the Orchestrade developer community with the associated rights and responsibilities (i.e.: rolling role of release manager)
• Be a driving force on technical and functional topics propositions
• Develop with quality and timely
• Raise alert adequately on the risks encountered during the conception of features (cost, delay, resources)
• Assist local support on incidents (P1 & P2) and urgent requests when appropriate to decrease impact and resolution time
• Research, design, and develop software.
• Analyse user needs and develop software solutions
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Work with other engineers to integrate hardware and/or software systems
• Develop specifications and performance requirements.

Legal and Regulatory Responsibilities

• Comply with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the Singapore Compliance manual and Compliance policies and procedures as issued from time to time; Financial Security requirements, including, but not limited to, the prevention of Financial Crime and Fraud including reporting obligations to the Money Laundering Reporting Officer.
• Maintain appropriate knowledge to ensure to be fully qualified to undertake the role. Complete all mandatory training as required to attain and maintain competence.

Qualifications and Profile

Mandatory

• Extensive development experience with an in-depth understanding of the CLR. Multiplatform experience is a must.
• Candidate should be open to work on different technology stacks (C# , Java etc)
• Deep familiarity with asynchronous programming (async/await, async streams, etc)
• Good experience with SQL and relational databases (E.g. MS SQL Server, Postgres, etc)
• Experience using and deploying CI / CD and related tools (e.g. Git, Jenkins, Azure DevOps, TeamCity, etc)
• Exposure to shell scripting: Bash on Unix/Linux platforms and PowerShell/Batch on Windows
• Knowledge of Microservices
• Knowledge of Spring framework and IOC
• Good knowledge of algorithms and data structures, with strong fundamentals in complexity analysis
• Autonomous, self-motivated and excellent team player

Good to Have

• Understanding of Native Interop: P/Invoke, structure layouts, C++/CLI, etc.
• Exposure to front office booking systems (E.g. Orchestrade, Murex, Summit, etc)
• Knowledge of Financial IRD products IRD and Capital Market FO environments
• Agile Development Methodology
• Other technical skills including Middleware (e.g. Kafka, MQ Series…), Monitoring, Batch Scheduling, Software Quality
• Security awareness and best practices
• Ability to work well under pressure

Other Professional Skills and Mindset

• Excellent written and verbal communication skills
• Excellent communication and interpersonal skills
• Strong analytical and problem solving skills
• Proficient software development life cycle
• Autonomy to include implicit deliverables in assignment based on best practices
• Strong appetite to learn both functional and technical new domain
• Appetite to participate to technical market trends and communities
• Strong sense of confidentiality

Education Requirements

At least a Bachelor’s degree in any of these faculties:

• Computer Science
• Information Technology
• Programming & Systems Analysis
• Science (Computer Studies)

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

Job Purpose

ICE Fixed Income and Data Services (IDS), a leading provider of financial market data, has an opening in a team of highly specialized real-time market data specialists who support the real-time feeds and desktop business verticals.

The individuals on this team acquire and maintain a detailed understanding of Exchange and other 3rd party market data “raw” feeds, and the associated market conventions for those sources. This knowledge will then be applied to produce the business requirements documents which will be used by the technology team to write software which consumes and normalizes the market data into IDS’s standard data model.

The individuals on this team are expected to be the “go to” people for all questions regarding the “raw” feed technical specifications, how they are translated into IDS’s standard data model, and the local market conventions which drive those decisions. The individuals will be responsible for both establishing rules for new feeds as well as articulating requirements for changes to existing feeds as they arise. Team members also interact with client facing staff, and sometimes directly interact with clients, in order to determine exact requirements for enhancements and modifications to existing data presentations.

Responsibilities

• Understanding Market Data Conventions - Achieve deep understanding of the market conventions for each relevant data source (market conventions include such things as how instruments are traded, special trading conditions that can occur and how they impact various derived data such as VWAPs, daily highs and lows, etc., trading units, minimum trade sizes, etc). Market Data Conventions must be understood from the perspective of the provider (exchange), the vendor (IDS), and the customer.
• Writing Content Requirements - Review new or modifications to feed specifications provided by the Exchange or 3rd party source, and translate such specifications into detailed and documented business rules for the Development team to implement. Such rules include mapping of incoming fields to the IDS data model, defining appropriate rules/business logic for correctly calculating derived data such as VWAPs, highs/lows, normalizing trade condition codes into the IDS global standard, and defining how fields need to be presented to customers (e.g., ensuring proper scaling of numbers).
• Ownership of Requirements - Ensuring all requirements, both new and changes, are reviewed, acknowledged, and properly handed off to the appropriate technology and business teams as quickly as possible.
• Monitoring for Changes - Monitoring exchange and 3rd party source change notifications, and ensuring that tickets are immediately raised and analyzed for impact to accommodate the change.
• Content QA Support - Working with content QA teams to ensure any new/changed data is appropriately tested to ensure compliance with the business rules defined by this individual in the aforementioned requirements documentation.
• Proactive Improvements – Proactively review of existing market data implementations, followed by sensible suggestions for improvements based on knowledge of local and global market conventions.
• Reporting / Support – Keeping appropriate managers and other groups informed of progress in key areas of market data content changes and improvements. Supporting appropriate client facing personnel in matters of content modeling and quality, with a view towards superior client satisfaction and increased sales.

Knowledge and Experience

Required Basic Qualifications

• Detail oriented
• Excellent verbal and written English language skills
• Excellent verbal and written Mandarin language skills
• Ability to read and understand technical specifications provided by Exchanges and other 3rd party sources
• Prior experience working for a market data vendor, specifically in the area of real-time data feed processing, either as a business analyst or a content specialist. Ability to explain challenges with respect to ingest and normalization of real-time market data.
• Ability to acquire detailed knowledge of market trading rules and conventions for various Exchange and other 3rd party / OTC venues through independent research, networking amongst internal and external peers, industry forums, reference materials provided by the Exchanges and other 3rd parties, etc.
• Ability to create well written, concise and comprehensive business requirement documents which clearly define how Development should implement support for a new or modified market data feed such that it conforms to the IDC defined data model standards and any and all relevant local market rules and conventions.

Preferred Qualifications

• Deep knowledge of ‘raw’ exchange feeds across at least one geography but preferably across multiple geographies. Global knowledge is best in class. Expertise in C&E markets is a plus.
• Experience in quality assurance in either software or content products
• Knowledge of financial services, data vendors, end user customer firms
• Bachelor’s or equivalent university degree

Schedule

This role offers work from home flexibility of up to 2 days per week.

Julian Grey’s client is a Singapore based solution provider for high quality IT security products to value add to their MNC clients & channel partners and has been in the market for more than 2 decades.

Location: East

Benefits

• AWS and performance bonus
• Annual salary increment (subject to performance evaluation)
• Medical and Dental

Job Responsibilities

• Oversee building and data centre facilities components, including Building Management System, Fire Detection and Protection systems, Energy Management System, Chiller, Electrical
• Conduct troubleshooting and maintenance of facility equipment
• Manage contracts for facilities and equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Responds to emergency and be on 24x7 standby
• Oversee new data centre projects including renovation and maintenance
• Responsible for site inspections / audits by authorities
• Scheduling and tracking of servicing jobs and vendor management

The Ideal Candidate

• Educational qualification in Electrical / Mechanical Engineering or equivalent
• At least 1 – 2 years’ relevant experience in DC facility management and vendor management

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Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Adelphe Peok

Reg No. R1981957

Julian Grey Corporate Advisory Pte. Ltd.

EA License No: 19C9568

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.

Data Scientist

Responsibilities:

• Analytics Solution Design and Development
• Design and implement innovative solutions using statistical models, machine learning and other data mining techniques.
• Handle challenges of analysing real-world data, such as incompleteness, bias, class imbalance and high volatility.
• Create effective visualizations and dashboards to communicate insights with end-users.
• Support the development and deployment of scalable and robust software solutions, working with IT solutions engineers.
• Engage with customer management teams to understand business requirements, project scope and develop a sound project plan.
• Think strategically and creatively, to exploit data science for a competitive advantage.
• Manage project implementation (for analytics scope only) to ensure that solutions are delivered on time and on requirements.

Knowledge Development and Management

• Research and experiment with new advances in analytical methods, algorithms and tools to deepen and develop new capabilities (i.e. deep learning, optimization, parallel computing).
• Elevate team competencies by sharing the latest trends and best practices.
• Support knowledge management by ensuring that learnings and insights arising from conferences, projects and industry engagements are documented.

Knowledge, Skills & Experience

• 2-5 years experience in Data Science, Analytics.
• Experience with Python, including packages such as NumPy, Pandas and scikit-learn.
• Experience in training, selecting and tuning machine learning models, employing techniques like data preparation, feature engineering, cross-validation and bagging/ boosting.
• Experience in data visualization tools or libraries such as Tableau, Power BI or packages in Python or Javascript.
• Experience with RDBMS such as MySQL, PostgreSQL, MongoDB, MS SQL Server.

Company Reg. No.: 201131609D | Licence No.: 11C4684 | Reg No: R1655133, Ashraf Ali

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

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.

Job Responsibilities

• Providing 1st line support for the timely resolution of incidents and problems for a Data Center
• Engineers need to provide 24/7 support when needed as well as required to participate in on-call duty.
• Monitor network performance and adhere to configuration policy and standards
• Must be able to read and understand Design, System Architecture Drawings, and technical deliverables

Job Requirements

• Singaporeans ONLY (Work Pass holders need not apply)
• Diploma qualification
• Knowledge of ITIL framework and IT service management concepts
• Must have hands-on experience working in Alcatel networking
• Hands-on experience in supporting, maintaining, and deploying Nokia IP and Optics products
• Routing and Switching– all network technology used to connect services from all network centers to any connected endpoint
• Must be capable of mounting switches and carrying weighted equipment
• Experience in tracing end users remotely as well as Network device power requirements
• Experience in structure cabling technologies and data center cabling methodologies
• Basic knowledge about servers (Wintel and Linux and virtualization)
• CCNA Certification
• Ability to effectively prioritize tasks in high-pressure environments
• Engineers must be able to speak confidently and able to conduct presentations
• Exhibit excellent problem-solving/root-cause analysis skills
• Good knowledge of project management and vendor management
• Have strong written and verbal communication skills

If you are keen in this role, you may also send us your updated CV in MS Words format to Christopher Wong at [email protected] for review and we will arrange for a convenient time to speak more.

We regret that only shortlisted candidates will be notified.

Monday - Friday, office hours

Location: Redhill

Salary: $2,800

Contract: 1 year

Management Executive Officer (Integrated Service Provider)

• To read casefiles, reports and other relevant document for data coding
• To maintain an up-to-date database by obtaining information from relevant officers and keying in data into the system
• To conduct literature reviews and obtain relevant evaluation tools
• To conduct statistical analysis and interpretation of data
• To assist in and conduct interview and/or focus group sessions, collate and maintain information obtained.

Requirements

• Degree
• Good in statitics

Responsibilities:

• Manage Data Center facility including;
• Lighting check
• Airflow check
• Ensure racks are lock
• Ensure no condensation
• Door access are in operation
• Emergency exit path is obstruction free
• No safety hazard
• Coordinate with vendor requesting to access the Data Center for any repair, upgrade, or installation of equipment.
• Daily Routine DC healthy check (Such as temperature, humility, power, server, and network switch).
• Respond to Data Center incident such as power trip, fire alarm, water leak, high temperature etc and escalate or report to relevant party/personnel.
• Cabling and troubleshooting the networking cable.
• Monitoring of Server and Network availability status.
• Monitoring of server antivirus definition ensuring up to date and escalation if not so.
• Monitoring of status of Data Center with DCIM.

Requirements:

This require candidate to put on safety helmet, safety vest, and safety shoe.

Must have minimum 2 years working experience as Data Center Operator

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Talent Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Stable Basic Salary + Attractive Incentives

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements

• Coordinate interviews between candidates and clients

• Develop connections and new business and relationship management sources with existing accounts

• Engage in networking and building relationships with business partners and jobseekers

• Ensure that the company's objectives and sales targets are met

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

Job Description

The Data Analytics Engineer is responsible for designing and developing robust, scalable data pipelines, data marts and business intelligence dashboards to be used across Singapore Airlines Group.

Key Responsibilities include:

• Understand business processes, applications and how data is created, stored and gathered in Singapore Airlines.
• Use big data tools and platforms to create and maintain data pipelines, making sure pipelines are robust, scalable, and reliable. Troubleshoot and rectify issues with data pipelines as necessary.
• Build expertise and domain knowledge on the data. Establish and own the data quality and SLA for various data flows.
• Explore, analyse, and aggregate various types of data to provide business insights to the data team stakeholders. Create compelling story and visualisation to convey these insights. Ask right and inquisitive questions of the data to deliver analytics solution to the business.
• Design, build and manage data marts to satisfy our growing data needs.
• Any other ad-hoc duties.
• This is an individual contributor role.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS degree in Computer Science or a related technical field. MS or PhD degree is a plus.
• Python development experience in production environment is required.
• More than 2 years of SQL (such as PostgreSQL, Oracle, AWS Redshift, GCP Big Query, or Hive) experience is required. NoSQL experience is a plus.
• More than 2 years working with Linux OS. Knowledge of networks and cybersecurity is a plus.
• Experience working with infrastructure-as-code systems like AWS CloudFormation. DevOps, AWS and GCP experience is a plus.
• Experience in working with a commercial ETL tools like Ab Initio and Talend would be a plus.
• Experience in ETL pipeline design, implementation and maintenance.
• Experience working with visualization tools (specifically Tableau would be preferred).
• Ability in analysing data to identify deliverables, gaps and inconsistencies.
• Ability in managing and communicating data mart plans to internal customers.

Maltem Singapore is seeking a Data Analyst for a Wealth Management Client.

Summary :

• The successful candidates will be supporting Project Fortify, responsible to close identified gaps in enterprise track and support ongoing BAU activities for research track.

Responsibilities :

• Work closely with business (quantitative strategist, end users, etc.), data engineers, and data scientists to implement and support data solutions using best-of-breed technology and methodology.
• Conduct requirement workshop with business and/or users and analyze requirements holistically.
• Contribute, influence and review the design of data solutions to ensure it meets both business and operational needs. Demonstrate technical expertise in the assigned area.
• Set up/improve/streamline new/existing data operations process through analyzing systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) for continuous improvements.
• Incorporate data management best practices into operational workflow.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Manage and maintain strong data vendor relationship to ensure continuous support and knowledge for existing and future data needs.
• Play an active role in the project coordinating between internal resources and third parties/vendors for project execution.
• Provide coaching and guidance to juniors.

Requirements :

• Degree from a recognized tertiary institution with at least 5 years of working experience, where at least 2 years of hands-on experience in data management or data analytics within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous for operations.
• Good understanding on data modelling and data integration.
• Experience in working with enterprise databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica).
• Experience in programming languages in Java and Python.
• Experience in working with business intelligence/data visualization tool using Tableau and PowerBI.
• Experience in SDLC methodology and/or Agile methodologies like Scrum and Kanban.
• Good team player, with strong analytical skills and enjoy complex problem solving.
• Excellent written and verbal communication skills. Strong interpersonal and people leadership skills to interact with diverse stakeholders.
• Experience in data engineering and platform in one or more areas is advantageous :
• Data Virtualization Technology (Denodo)
• O365 Suite

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 advertised position, please email us an updated copy of your resume.

We regret that only shortlisted candidates will be notified.

CODE: EEST

EA License No.: 01C4394

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.

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Career Advisor who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Uncapped, Attractive Sales Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements

• Coordinate interviews between candidates and clients

• Develop connections and new business and relationship management sources with existing accounts

• Engage in networking and building relationships with business partners and jobseekers

• Ensure that the company's objectives and sales targets are met

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

With the enormous growth of live streaming in recent years, our mission is to inspire real-time interactions and help live streamers connect to people from all corners of the globe. We are looking for passionate and talented engineers to join us to build and optimize a real-time, high-performance, large-scale distributed infrastructure for live streaming in TikTok. You will be deeply involved in the developmental lifecycle of critical product features and collaborate closely with product managers to deliver the best live streaming experience for all live streamers and audience alike.

TikTok Live Data Platform team is a fast-growing team in TikTok engineering family. We are building solid data capabilities and enhancing the robust data ecosystem for TikTok Live, and aiming to maximize data value to benefit our hosts & users and power TikTok.

You will:

- Plan and lead large-scale technical projects to lay the foundation for the iterative development and scale of early products

- Develop robust, efficient technology products that serve 1 billion users

- Contribute to engineering strategy, tooling, processes, and culture

- Research and apply cutting-edge domain and technical knowledge into products

Qualifications

- As a world-class engineer, you have rich working experience in scalable, highly available, distributed and mission-critical systems.

- Deep understanding of computer architectures, data structures and algorithms.

- Able to work closely with diverse stakeholders and have good communication skills

- Self-driven, positive, cooperative and willing to keep learning enthusiasm at all times

Preferred Qualification

Minimum 3 years relevant work experience from a large-scale internet business

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job Description:

The Data Centre Manager will be responsible for overseeing all data center operations, including infrastructure design, data management, security protocols, and disaster recovery strategies.

This role requires maintaining high availability of our critical financial systems, ensuring data integrity, and optimizing performance.

The manager will also coordinate with IT teams to implement new technologies and improve existing systems.

Key responsibilities include managing staff, developing budgets, and ensuring compliance with financial industry regulations.

The ideal candidate will have a strong background in IT infrastructure, data center management, and financial systems.

Excellent problem-solving skills, the ability to manage multiple projects simultaneously, and a deep understanding of data security and privacy regulations are essential.

• Marine Electronics & Telecommunication
• Basic $3000 - $3500
• 5 days (8.30am – 5.30pm)
• Location: Pandan Loop

Responsibilities

• Work together with the clients, either at our office or client’s locations, to understand their needs and translate them into an actionable plan with the team.
• Work closely and communicate effectively with project manager, and other project team members to create and deliver quality solutions for the clients.
• Perform quality control work, taking into considerations of the budget, schedule, and plans.
• Keep track of project status and provide regular reports.
• Assure all the deadlines are being met.

Requirements

• Min Diploma/ Degree in Engineering or other relevant
• No experience are also welcome

For consideration, kindly submit your CV by clicking “APPLY Now”

**Only shortlisted candidate would be notified**

EA Reg. No: R23114214 | Chloe Tan

Senior Data Storage Engineer

Contract: 12 months

Job Descriptions

• Design, configure, develop, integrate, test, implement, document to support the storage infrastructure ecosystem.
• Work with different teams to explain requirements and suggest the appropriate storage systems and backup solutions and procedures.
• Build storage systems for information and networks for large enterprises that can cater to thousands of users at the same time.
• Facilitate the designing of the concepts and procedures, besides handling resource allotment.
• Maintain the fiber channel switches and SAN arrangements by ensuring that software and firmware are in keeping with the latest needs of the organization.
• Work with vendors to fix issues.
• Research new technologies to find out if they suit their organization’s existing infrastructure. Otherwise build appropriate infrastructure to fit them for the organization needs
• Set up and maintain documentation of the existing technology and solutions.
• Design the concept and process and handle resource allocation.
• Creating data usage and precise performance reports with office applications.
• Technology - storage and backup, Netback, Veeam, ArcServ
• Degree in Computer science or Equivalent
• At least 5-8 years of experience working with Data storage including 1-3 years of implementation experiences

Company Reg No.: 201131609D, Licence No.: 11C4684, EA Reg no: R1655133, Ashraf Ali

Job Description

SIA has multiple positions for 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.
• 2 or more years of relevant industry experience as a hands-on data scientist/AI engineer in shallow and deep learning (you should be very familiar 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.

Morgan McKinley is partnering with a Global Financial Solutions firm on a Senior Data Scientist position. The incumbent will be involved in developing advanced analytics and machine learning models, and delivering data-driven insights to business leaders across the organization.

Key Responsibilities:

• Develop and implement powerful models using a range of supervised and unsupervised techniques.
• Analyze vast data sets and extract valuable insights.
• Translate business needs into data-driven solutions, collaborating across the organization.
• Empower citizen data scientists to leverage data for their own projects.
• Champion responsible and ethical data use through robust governance practices.
• Stay ahead of the curve with continuous learning in the ever-evolving data science space

Requirements:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Actuarial Science or related fields.
• 7 years of experience in data science or related field.
• Strong knowledge of machine learning algorithms and statistical modelling techniques, especially using Scikit-learn.
• Proficiency in Python, PySpark and SQL.
• Experience with data visualization and reporting tools (e.g. Power BI, QlikSense).
• Excellent communication and problem-solving skills.
• Experience with GenAI solutions and prompt engineering

If you meet these requirements and are passionate about leveraging data science and machine learning to drive business success, we encourage you to apply for this exciting opportunity. Join our client's team and play a pivotal role to understand business needs and translate them into data-driven solutions.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054

Bioinformatics Specialists: Machine Learning and Genome Data Analytics (Genome Institute of Singapore

We are looking for smart, motivated machine learning and data analytics researchers who can contribute to the development of new methods for understanding and diagnosing cancer. The candidate should have strong mathematical intuition and programming skills, and be comfortable working in a highly collaborative multidisciplinary environment that includes biologists, pathologists and medical oncologists. This will be a unique opportunity to learn cutting edge data analytics and computational biology techniques in the rapidly growing field of spatial omics.

Requirements

1. Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field with at least 5 years of relevant experience

2. High proficiency in scripting language (Perl, Python and statistical languages such as R, particularly in the use of packages such as Bioconducter or Biopython)

3. Additional programming skills in Java or C++ will be useful and candidate should be experienced working in Unix environments with computing clusters/servers

4. A strong background and course work in statistics, computer science and data science is preferable

To apply, please email your CV and names of references to [email protected], [email protected]

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.