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.

• 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.

Job Description

The senior data engineer is a senior software developer with strong software engineering skills who is responsible for building custom open-source-based data ingestion and MLOps platforms. He/she has deep appreciation of the complexity of the data engineering process, such as the challenges of data ingestion involving large or near-real-time datasets, the maintenance of high data quality, and the importance of automation for increasing pipeline robustness and reducing the need for human intervention.

Key Responsibilities include:

• Be an effective distributed-system implementer in the following core activities:Design and develop data engineering services and their ecosystem using distributed databases (relational, columnar, graph, in-memory); orchestration (Apache Airflow); and distributed stream/batch data processing (Kafka, Kinesis, Spark).
  Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.
  Design data models for mission-critical, high-volume, near-real-time/batch data; build idempotent/atomic production data pipelines to make data ingestion more fault tolerant.
  Design and develop intuitive, highly automated, self-service data platform functions for business users.
• Explore, evaluate and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements

• BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.
• 3+ years of relevant industry experience in some or most of the following technical areas:Advanced programming skills in Python. Conversant with data structures and algorithm design.
  Experience in building data pipelines (including data collection, warehousing, processing, analysis, monitoring, and governance) using open-source data ingestion platforms.
  Intermediate-level knowledge and experience with AWS cloud components and best practices. Good understanding in deploying data stores such as S3, RedShift, Elasticache, PostgreSQL, and ClickHouse.
  Prior experience in modern software development is required (such as web frontend UI, backend API microservices, understanding of CI/CD and Scrum/Kanban agile development). Strong grasp on object-oriented or functional programming (using e.g. Python, Java, Scala, or C#).

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.

Job Responsibilities:

1. Act as the project manager for the client's post-signing delivery services, assisting the client with data integration and ensuring the client's activation and continued use of the product.

Specifically includes:

- Communicate with clients to prepare project plans and project timelines based on client requirements, organize relevant meetings, and manage and drive the project progress.

- Manage client's data integration requirements, collect and prepare related resources.

- Collaborate with the product development team to complete the customized development of data integration based on Python.

- Assist clients in importing accounts and transactions, and complete account balance verification based on data integration work to ensure data accuracy.

- Collaborate with the financial consulting team to deliver financial solutions to clients.

2. Build a product community of satisfied customers, collect customer feedback and testimonials, and write customer case studies.

3. Develop optimal action plans and execute on product upsell opportunities as they arise. Responsible for helping to complete renewals and reminding sales specialists to assist customers with the purchase process.

4. Ensure that customers continue to use the product to ensure the sustainability of the monthly fee revenue, and conduct quarterly visits to the responsible customers.

Competency Requirements:

1. 5-8 years of relevant work experience in data analysis, data implementation, or data development, with a minimum qualification of Degree or equivalent.

2. Excellent Python development skills, familiar with data development packages such as pandas, numpy, etc., familiar with blockchain industry-related data structure, able to independently research data requirements and complete code development.

3. Experience in project management (data integration, digitization, consulting projects, etc.), able to formulate project proposals and plans, and organize project meetings

Additional Points

1. Experience with blockchain industry is a plus.

2. Financial background or related experience, CPA-related qualification.

3. Fluent in English and Chinese to communicate with stakeholders.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gxZTStP4

• Strong support from management to invest in data analytics
• Work together in a sizable data team

About the company

Our client is an established end user company. As part of their plan to invest in technology, they are now hiring a new Data Analyst to join their team.

About the job

Reporting directly to the Head of Data, your will be

• Responsible for developing, implementing, and managing Business Intelligence (BI) solutions .
• Collaborate with various departments to deliver insightful reports and analytics that support business strategies and goals.
• Develop and maintain ETL processes for ingesting data from various sources
• Developing and deploying data engineering solution

Skills and experience required

As a successful applicant, you will have at least 5 years of experience in Business intelligence and Data engineering. Experience with Data warehouse or ETL is required for this role.

Whats on offer

This is an excellent opportunity to join an established company with the opportunity to apply data analytics to create value for the business.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gxZTStP4 (EA: 94C3609/ R1219669)

Responsibilities

● 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 such as product engineering, data science and business stakeholder teams to successfully deliver business 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 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.

Required Skill

● 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.

COMPANY DESCRIPTION

A leading general insurer with a local presence of over 100 years, MSIG Singapore offers an extensive range of insurance solutions for commercial and personal risk protection, enabling the security and safety of individuals and businesses. MSIG Singapore holds an A+/Stable financial rating by Standard & Poor's.

A testament to its growing strength and influence, MSIG Singapore has garnered numerous awards for delivering digitally innovative and customer-centric solutions. In 2023, 2022 and 2020, MSIG Singapore was awarded Insurance Asia Awards' Claims Initiative of the Year.

MSIG is a subsidiary of Mitsui Sumitomo Insurance Co., Ltd, and a member of the MS&AD Insurance Group one of the largest general insurance groups in the world with presence in 50 countries and regions globally, 18 of which are in Asia Pacific including all ASEAN markets as well as in Australia, New Zealand, China, Hong Kong, Taiwan, South Korea and India. Headquartered in Japan, MS&AD is amongst the top non-life insurance groups in the world based on gross revenue.

RESPONSIBILITIES

• Assist Senior Vice President, Technical Services to provide actuarial services and analysis to the underwriting, claims, business development, reinsurance and finance managers.
• Introduce best practice actuarial science to the business process including premium rating
• Undertake any other duties as may be assigned.

• Preferably with Actuarial Science, Mathematics or Statistics degree and currently pursuing professional qualifications from the Casualty Actuarial Society/Institute of Actuaries/Institute of Actuaries of Australia
• Should ideally be one to two years from obtaining the professional qualification above

• Knowledge and experience in general insurance actuarial practice especially in areas of premium rating, portfolio monitoring, reserving, risk/financial/capital modelling
• Statistical knowledge
• Good understanding of data, actuarial software and programming languages including analytics and visualisation tools
• Preferably with experience in a consultancy firm or/and general insurance company
• Ideally a minimum of 2 years experience in a general insurance actuarial practice
• Business oriented, able to suggest practical recommendations
• Some general insurance business knowledge

The SVP - Data Analytics Lead is a senior management-level position responsible for liaising between business users and technologists to exchange information in a concise, logical and understandable way in coordination with the Technology team. The overall objective of this role is to contribute to continuous iterative exploration and investigation of business performance and other measures to gain insight and drive business planning.

Responsibilities:

• Manage multiple teams of business analysts supporting multiple systems or over a business analysis functional area (depending on size of business) with responsibilities including work allocation, budget and planning, performance evaluation, compensation, staffing and other duties as assigned
• Provide technical leadership and expertise to ensure the efficient design, development and implementation and to ensure essential procedures are followed
• Act as subject matter expert for Data Analytics requests and projects, working with internal stakeholders and team resources to oversee project deliveries.
• Responsible for solutioning using the technology platforms available in Citi's Technology Ecosystem
• Resolve issues that have impact beyond own area and apply in-depth understanding of business analysis concepts and procedures and basic knowledge of other areas
• Work as a team to achieve objectives and influence and negotiate with senior leaders across functions, communicating with external parties as needed
• Provide evaluative judgment based on analysis of information in complicated, unique and dynamic situations, drawing on diverse range of internal and external sources
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Qualifications:

• 10+ years of relevant experience
• Proficient with Hadoop, Python, Tableau, Collibra, Data Quality, SAS Tools with strong understanding of Data Governance
• Demonstrated leadership
• Consistently demonstrate clear and concise written and verbal communication
• Proven stakeholder management skills with ability to hold themselves in discussion with Senior Stakeholders
• Proven interpersonal skills with ability to partner and influence across organizational lines
• Proven ability of using complex analytical, interpretive and problem-solving techniques

Education:

• Bachelor's degree/University degree or equivalent experience

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]

Strong AWS knowledge in terms of designing new architecture and providing optimized solution for existing one

▪ In-depth knowledge with respect to Snowflake and its architecture.

▪ provide solutioning and drive the implementation of DOPS features which includes - building IAC infra, Git Lab re-structuring, Git lab Upgrades monitoring etc.,

▪ Should have the vision on data strategy and able to deliver the same.

▪ Should be able to lead the design and implementation of data management processes, including data sourcing, integration, and transformation.

▪ Able to manage and lead a team of data professionals, providing guidance, mentoring and foster a collaborative and innovative team culture focused on continuous improvement.

▪ To evaluate and recommend data-related technologies, tools, and platforms.

▪ Collaborate with IT teams to ensure seamless integration of data solutions.

▪ should have experience in Implementing and enforce data security protocols and ensure compliance with relevant regulations.

Required Professional and Technical Expertise :

Experience as a Lead: 5+ years, should pose a strong character in leading a small team.

▪ Bachelor qualification in a computer science or STEM (science, technology, engineering, or mathematics) related field.

▪ At least 8+ years of strong data warehousing experience using RDBMS and Non-RDBMS databases.

▪ At least 5 years of recent hands-on professional experience (actively coding) working as a Lead handling support & production issues.

▪ Professional experience working in an agile, dynamic and customer facing environment is required.

▪ Understanding of distributed systems and cloud technologies (AWS) is highly preferred.

▪ Understanding of data streaming and scalable data processing is preferred to have.

▪ Experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred.

▪ Atleast 2+ years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step Functions.

▪ Strong knowledge in scripting languages like Python, UNIX shell and Spark is required.

▪ Understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc.

▪ Technical expertise with data models, data mining and segmentation techniques.

▪ Experience with full SDLC lifecycle and Lean or Agile development methodologies.

▪ Knowledge of CI/CD and GIT Deployments.

▪ Ability to work in team in diverse/ multiple stakeholder environment.

▪ Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams.

about the company

We are representing a global leader in developing and manufacturing a wide range of products for the life science research and clinical diagnostic markets. This innovative and purpose-driven company is dedicated to advancing scientific research and healthcare by providing cutting-edge tools and solutions. With a strong commitment to improving human health, they operate in more than 100 countries and have a legacy of excellence spanning over decades. This dynamic environment offers growth opportunities, exposure to international markets, and a chance to contribute to impactful projects.

about the job

As an Admin Associate (Marketing), you will play a crucial role in supporting the regional field marketing teams in executing marketing activities and handling associated administrative tasks. Your responsibilities will include coordinating with functional teams to secure timely approvals for strategic initiatives, driving process improvements for efficient administrative work across the region, and conducting report analysis on go-to-market activities and their impact. You will also build effective relationships with internal stakeholders, identify and address challenges, and interface with various departments such as sales, customer service, technical service, BCP, purchase, and finance to ensure full SOX compliance. This position requires a proactive and detail-oriented individual who can manage multiple tasks and prioritize effectively in a fast-paced environment.

skills and experience required

To be successful in this role, you should hold a Diploma in Business Studies, Data Analysis, or Data Sciences, with at least 5 years of experience in business support or administrative roles. You must possess excellent communication and interpersonal skills, with the ability to interact efficiently with internal stakeholders. Proficiency in IT skills, including Microsoft Office Suite, MediSpend, CRM (SFDC), SAP, Excel, Power BI, and SalesForce.com, is essential. Experience in assessing compliance with company policies and SOPs, and the ability to define challenges, collect data, and establish facts for analysis is crucial. Additionally, you should be adept at working across multiple countries and cultures in the Asia Pacific region, capable of multitasking, prioritizing, and managing your time effectively, both independently and as a team member. A keen attention to detail is a must for this role.

To apply online please use the 'apply' function, alternatively you may contact Carmen.
(EA: 94C3609/ R2196577)

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400+OT+allowances>$3K++-$4000++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Company Introduction: Eminence Organization is one of the newest and fastest growing outsourced sales and marketing firm that specialises in face to face marketing and revenue generation for our clients.

Our clients ranging from NGOs, Telecommunication, FMCG, lifestyle and energy industries. We provide the best customer service and we are extremely passionate individuals!

No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

• Supervise the loading, off-loading of goods from shipping containers and stacking of the goods in the receiving and dispatching area.
• Tally all goods and match them with shipping invoices and packing orders to ensure the accuracy of incoming and outgoing shipments.

Requirments:

• At least 1 year of working experience
• Detail oriented and with special attention to accuracy and timely reporting.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

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, Mumbai, 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, opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make an impact happen with a career at TikTok.

The strategy team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and user engagement, which includes:

1. Build prediction/uplift NN model to improve LIVE feature intelligence;

2. Mine and interfere with potential crowds to gain a higher ROI operation for both LIVE streamer and watcher;

3. Make detailed analysis on user data and system data to find out user experience optimization zoom;

4. Other work like user growth strategy, cold-start strategy, etc.

Requirements:

1. Responsible for data science work related to the product and operation strategy of TikTok LIVE.

2. Analyse business data in different markets, formulate targeted strategies, and evaluate strategic benefits.

3. Build insights into different strategy scenarios, use data skills to deepen scenario understanding and promote decision quality.

Qualifications

1. Mathematics, statistics, computer science related majors, have experience of internet business.

2. Excellent thinking framework and scenaios understanding ability, good at using data analysis and other means to solve business problems.

3. Experience of casual inference, evaluation framework, data mining is preferred.

4. Understanding the principle of machine learning and recommendation algorithms is preferred.

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.

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, Mumbai, 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, opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make an impact happen with a career at TikTok.

The strategy team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and user engagement, which includes:

1. Build prediction/uplift NN model to improve LIVE feature intelligence;

2. Mine and interfere with potential crowds to gain a higher ROI operation for both LIVE streamer and watcher;

3. Make detailed analysis on user data and system data to find out user experience optimization zoom;

4. Other work like user growth strategy, cold-start strategy, etc.

Requirements:

1. Responsible for data science work related to the product and operation strategy of TikTok LIVE.

2. Analyse business data in different markets, formulate targeted strategies, and evaluate strategic benefits.

3. Build insights into different strategy scenarios, use data skills to deepen scenario understanding and promote decision quality.

Qualifications:

1. Mathematics, statistics, computer science related majors, have experience of internet business.

2. Excellent thinking framework and scenarios understanding ability, good at using data analysis and other means to solve business problems.

3. Experience of casual inference, evaluation framework, data mining is preferred.

4. Understanding the principle of machine learning and recommendation algorithms is preferred.

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.

Trust is the first of a new breed of banks in Singapore – digitally native and focused on delivering a delightful customer experience. You will work in a fast-paced and collaborative environment to solve new and interesting challenges each day. Together with our Trust team, you will help shape the future of our bank.

As a Platform Data Engineer you'd be able to work on and solve many interesting challenges which we are facing, learn new ways of working, and help build delightful high-quality products for our customers during the exchange period (2 Sep 2024 to 22 Nov 2024).

Job Description

You will support and play a role in building, deploying, and maintaining a cutting-edge, cloud-native data platform. You will collaborate closely with various teams including data engineering, data science, product engineering, and other data engineers to ensure our platform delivers accurate, timely, and actionable insights critical to business growth.

The Role Responsibility:

· Design, build, and maintain a modern, automated, and scalable cloud-native data platform encompassing relational databases, data pipelines, and supplementary data services.

· Collaborate with development, product, risk and security, legal and compliance teams to ensure alignment with operational and regulatory requirements.

· Implement and maintain a robust controls framework aligned with industry practices and regulatory requirements.

· Enhance data controls documentation and processes, making continuous improvements.

· Engage in Agile/Lean projects, employing CICD toolchain for efficient deployment and configuration management using tools like Terraform and Ansible.

· Utilize strong scripting skills in Python and Bash for automation tasks.

· Enhance SDLC processes through CICD automation and operational improvements.

· Collaborate with cross-functional teams on production stability and incident management.

· Implement monitoring and alerting systems for both production and non-production environments.

· Improve system design and architecture for enhanced stability, performance, and reliability.

· Troubleshoot and resolve customer and system issues promptly.

Role Specific Technical Competencies

• Good knowledge of the SDLC and operational processes.
• Good knowledge of SQL, relational and NoSQL databases
• Experience with S3, RDS and Kafka or other streaming or messaging systems. Ideally an understanding of event sourcing or CQRS
• Experience with integration i.e., REST, Webservices, Messaging
• Experience improving the SDLC via CICD.
• Experience with microservice based or distributed solutions
• Experience with AWS and Kubernetes or Docker
• Experience with testing with unit, contract, and integration tests as well as reliability testing

Our Ideal Candidate:

· Bachelor’s Degree in Business, Computer Science, or related field.

· 12 years of IT experience with a focus on database and messaging system management in a cloud environment.

· Expertise in AWS services with proficiency in SQL, NoSQL, and data sharding.

· Practical knowledge of Kafka platform operations and other systems like RabbitMQ, AWS Kinesis, and Airflow.

· Familiarity with big data concepts, Hadoop, Spark, and managing Data Lake is advantageous.

· Strong understanding of regulatory compliance, data governance, and data security strategies.

· Experience with Agile methodologies and continuous improvement practices.

· Previous experience in a financial environment and with microservice-based architectures is preferred.

If you apply for a job with Trust or submit any personal information in connection with a possible job opportunity, you agree to our privacy notice for job applicants – available on our website

Come as you are! Trust is an inclusive and open-minded workplace. If you are smart and good at what you do, that’s what we care about. So come as you are.

Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

---

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

---

About the team

The Live Platform Intelligence team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and creator engagement, which includes: Build models for automated and intelligent operations to improve the efficiency and effectiveness of TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business. Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers.

---

Responsibilities

- Drive understanding of product usage and user behavior in the field of Live ecosystem.

- Establish and refine key product metrics, set scaled and attainable goals, forecast outcomes, and closely monitor trends to precisely gauge the success of our product initiatives.

- Collaborate proactively with Product Managers, Engineers, MLE and other cross-functional teams, providing data-backed perspectives that shape our product decisions, deliver insights and excute strategy.

- Design and measure experiments to verify hypotheses and opportunities in product growth, and consult on directions for improvement

Qualifications

Minimum Qualifications

- Bachelor's degree in Statistics, Mathematics, Data Science, or equivalent practical experience.

- A minimum of 3 years of work experience in analytics.

- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or data visualisation tools (e.g. Tableau).

- Excellent problem-solving and critical thinking skills.

---

Preferred Qualifications

- Preferably with experience working on products, user growth, or live streaming 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.

Location: Paya Lebar

Duration: 1 Year Temp Contract

Office Hours

The Manager, Data Management is a pivotal role within the Data Strategy & Data Analytics Division, dedicated to enhancing our organization's data capabilities. This position is instrumental in ensuring the integrity, accessibility, and compliance of our data assets, aligning with our mission to leverage data for strategic insights and decision-making. The ideal candidate will embody our core values of innovation, collaboration, and excellence, driving forward our vision to be at the forefront of data-driven solutions.

• Data Governance and Standards Development
• Creation and maintenance of a comprehensive metadata catalogue.
• Develop and implement data standards across data sources to facilitate data collaboration and analysis.
• Assist in the development and communication of data governance policies to internal stakeholders, ensuring alignment with our organizational values of integrity and accountability.
• Data Quality and Harmonization
• Assist in the harmonization of data fields across the systems, ensuring high-quality data that meets business and analytic needs.
• Contribute to the management of data sharing arrangements, ensuring compliance with Government standards and policies, reflecting our commitment to data privacy and security.
• Stakeholder Engagement and Communication
• Support the planning, coordination, and execution of data analytics events, including Data Bootcamp and Artificial Intelligence engagement sessions, fostering a culture of learning and innovation.
• Engage with multiple stakeholders to facilitate understanding and adherence to data management practices, enhancing our collaborative efforts towards achieving organizational goals.

What we are looking for

• Proven experience in data management, data governance, or a similar role within a data-centric organization.
• Familiarity with government data standards and policies is highly desirable.

Skills and Competencies:

• Strong knowledge of data governance and data management frameworks and processes.
• Analytical and conceptual thinking skills, with a keen attention to detail.
• Excellent communication and interpersonal skills, capable of effectively engaging with a variety of stakeholders.
• Ability to work collaboratively in a team environment, demonstrating our core value of unity and collective effort.

Should you be interested in this position, please contact Juliana at 9230 6374 your resume directly for fast respond.

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. R1879595 Juliana Lin Yuzhen

Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

---

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

---

About the team

The Live Platform Intelligence team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and creator engagement, which includes: Build models for automated and intelligent operations to improve the efficiency and effectiveness of TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business. Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers.

---

Responsibilities

- Drive understanding of product usage and user behavior in the field of Live ecosystem.

- Establish and refine key product metrics, set scaled and attainable goals, forecast outcomes, and closely monitor trends to precisely gauge the success of our product initiatives.

- Collaborate proactively with Product Managers, Engineers, MLE and other cross-functional teams, providing data-backed perspectives that shape our product decisions, deliver insights and excute strategy.

- Design and measure experiments to verify hypotheses and opportunities in product growth, and consult on directions for improvement

Qualifications

Minimum Qualifications

- Bachelor's degree in Statistics, Mathematics, Data Science, or equivalent practical experience.

- A minimum of 3 years of work experience in analytics.

- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or data visualisation tools (e.g. Tableau).

- Excellent problem-solving and critical thinking skills.

---

Preferred Qualifications

- Preferably with experience working on products, user growth, or live streaming 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.