Project Engineer (Data Center)

Job Summary:

The Project Engineer will be responsible for managing and coordinating data center construction projects. This role involves overseeing all aspects of the project lifecycle, from planning to execution, to ensure that projects are completed on time, within scope, and within budget.

Roles & Responsibilities:

• Develop and manage project plans, schedules, and budgets.
• Coordinate with cross-functional teams, contractors, and vendors to ensure project alignment.
• Oversee on-site construction activities to ensure compliance with safety standards and project specifications.
• Conduct regular project meetings and provide status updates to stakeholders.
• Identify and mitigate project risks and issues.
• Ensure all project documentation is complete and accurate.
• Facilitate communication between project teams and ensure timely resolution of issues.

Job Requirements:

• Bachelor's degree in Engineering, Construction Management, or a related field.
• Proven experience in managing construction projects, preferably in the data center industry.
• Strong understanding of construction methodologies, safety standards, and project management principles.
• Excellent communication and interpersonal skills.
• Proficient in project management software (e.g., MS Project, Primavera).
• PMP certification is a plus.

Title: Data Operations Lead

For quick response, please share your resume to [email protected] or WA to +65 92333815.

The role is to manage IT Operations of the datawarehouse /data lake environment and the analytics components to ensure the effective planning, governance and execution to meet the operational service levels agreements and audit compliance requirements.

Key Responsibilities

• Lead database operations, ensuring high availability, performance, and scalability in AWS environments.
• Oversee the deployment, maintenance, and optimization of databases using AWS RDS, Redshift, DynamoDB, and other cloud-native services.
• Manage data integration and transformation workflows using Informatica tools.
• Develop and enforce database governance, backup, and disaster recovery strategies.

Required Skills and Qualifications

• Extensive experience in database operations, particularly with AWS services such as RDS, Redshift, DynamoDB, Aurora, and S3.
• Strong expertise in Informatica PowerCenter, Informatica Cloud (IDMC), or similar data integration tools.
• Deep understanding of operational frameworks, including incident, problem, and change management processes.
• Proficiency in database technologies such as PostgreSQL, MySQL, or SQL Server.
• Familiarity with scripting and automation using Python, Shell scripting, or similar tools.
• Hands-on experience with monitoring and logging tools like CloudWatch, Grafana, or Splunk.
• Strong understanding of data security, compliance, and governance practices.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

HP: +65 92333815

Recruitment Manager

Helius Technologies Pte Ltd (EA Licence No: 11C3373)

• Support the transition of data migration activities from other vendors and ensure alignment with the overall migration strategy.
• Refine data migration requirements, update migration strategy, and coordinate with stakeholders to ensure all aspects of the migration are covered.
• Assess data quality issues, collaborate with business users to prioritize data quality analysis and address any concerns.
• Build and manage test cases, scenarios, test scripts, and define entry/exit criteria for successful data migration.
• Define and establish key performance indicators (KPIs) and dashboards to monitor the execution of the data migration process.
• Work closely with the Data Migration Lead to ensure adherence to timelines and project milestones while supporting the overall data migration strategy.
• Min. 3 years of IT Service Management (ITSM) experience, covering all phases of ITSM (e.g., ITIL).
• Min. 3 years of Business Analyst experience, including documentation and project management.
• Solid knowledge of ITIL or other ITSM frameworks.
• At least 3 years of working experience in banking/ financial service

Requirement – DC Operations

Shall provide Data Centre (DC) operations at the Customer’s premises and premises identified by the Customer. The DC Operations shall cover the following:

1. DC Environment Support; and

2. DC Facilities Management Services.

DC Environment Support

Shall monitor the facilities infrastructure in the DC to ensure that they are within the operating levels defined by the Customers. The infrastructure to be monitored shall minimally include:

(a) Power infrastructure (such as Uninterrupted Power Supply and power distribution boards);

(b) Cooling Infrastructure (such as computer room air-conditioning units);

(c) Fire detection and suppression systems (such as FM200, water sprinklers, fire extinguishers);

(d) Environment monitoring system (such as humidity and temperature); and

(e) Water leakage detection.

(f) Shall ensure the DC infrastructure is monitored on twenty-four (24) hours a day, seven (7) days a week, inclusive of Saturdays, Sundays and Public Holidays.

(g) The Vendor shall inform the Customer within one (1) hour when problems are detected.

(h) Shall work with the Customer and Customer-appointed Supplier to resolve any infrastructure issues detected in accordance to the support hours as required by the Customer.

DC Facilities Management Services

(a) Shall ensure, through daily inspection, that the general cleanliness and tidiness of the data centre are maintained by the Customer-appointed Supplier.

(b) Shall work with Customer-appointed Supplier on site preparation tasks such as network cabling and electrical wiring, when required.

(c) Shall ensure the network cabling in the data centre and within the racks are neat and tidy.

(d) Shall work with the Customer-appointed Supplier for both scheduled and ad-hoc maintenance, servicing, repair and upgrading works to the infrastructure at the Customer’s premises and premises identified by the Customer.

(e) Shall plan and coordinate the maintenance activities. This includes polling the affected parties, obtaining the Customer’s approval, and sending out messages to inform the affected party.

(f) Shall obtain the Customer’s approval before finalizing the plan for any activity.

(g) Shall provide on-site support during the maintenance activities unless otherwise agreed by the Customer.

(h) Shall maintain up-to-date documentation of the data centre design layouts.

(i) Shall manage the physical security of the data centre in accordance with the guidelines provided by the Customer.

(j) Shall monitor the following physical security infrastructure to ensure they are within the operating levels defined by the Customer:

· Security Alarm and Security Card Access System; and

· Closed-Circuit Television (CCTV).

(k) Shall ensure that only authorised personnel are allowed to access the DCs.

· The Vendor shall ensure that all visitors to DCs are escorted during their activities on-site.

· The Vendor shall ensure that the visitors record their activities in the on-site log.

Requirement – DC Operations

Minimum Requirement:

The Vendor shall ensure, through daily inspection, that the general cleanliness and tidiness of the data centre are maintained by the Customer-appointed Supplier. The DC Operator shall possess minimally the following skill sets:

(a) One (1) years of working experience in Data Centre Engineer Operations experience;

(b) Certified Data Centre Facilities Operations Manager (CDFOM) or equivalent; and

(c) ITIL v4 Foundation Certification or equivalent

Work Location: Woodlands/Yishun

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.

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.

Team Introduction

TikTok’s Product data scientist team is a critical component of the platform’s success, responsible for leveraging data to enhance user experience, optimize content delivery, and drive business decisions. As a leading social media app known for its short-form video content, TikTok relies heavily on data science to stay ahead in a competitive market.

Job Description

1. Lead and execute the local service data analysis project of international short videos, help business teams solve problems encountered in POI product construction through analysis, and achieve business goals.
2. Deeply understand user preferences, POI usage, and decision-making psychology, discover the essential needs and pain points of the business through targeted exploratory analysis, find opportunities for improvement/efficiency, provide specific feasible optimization suggestions, promote implementation, and bring actual business improvement.
3. Responsible for formulating and optimizing various product/operation strategies, user decision attribution, A/B experiment design and analysis, abnormal analysis of core indicators, guiding scientific decision-making and iterative closed-loop, promoting the implementation and continuous optimization of data analysis conclusions.

Minimum Qualifications

1. Bachelor's degree or above, with more than 3 years of work experience.
2. Experience in local life, e-commerce, and other related industries is preferred, with a background in data science, quantitative analysis, such as long chain attribution, statistics, computer science, economics, etc.
3. Possess data analysis capabilities to solve complex problems, design data collection schemes, excellent communication and coordination skills, and cross-departmental team collaboration abilities.

Preferred Qualifications

1. Good at thinking and summarizing, able to continuously improve work methods.
2. Able to quickly understand business logic, quantify the causes and effects of business problems through data, and provide specific feasible optimization solutions.

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.

Note: This is an unpaid Internship

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis. The ideal candidate will have a passion for startups and contributing to the growth of a new company

Responsibilities

• Understand the day-to-day issues that our business faces, which can be better understood with data
• Compile and analyze data related to business' issues
• Develop clear visualizations to convey complicated data in a straightforward fashion
• Work on marketing strategies and help bring them to life

Qualifications

• Currently enrolled in a relevant academic program (e.g., Data Science, Computer Science, Business, or related fields).
• Strong knowledge of data management and analysis techniques.
• Experience with web scraping tools (such as Python, BeautifulSoup, Scrapy, or similar tools).
• Comfortable working with spreadsheets (Excel, Google Sheets) and data visualization tools.
• Ability to work independently, take initiative, and meet deadlines.
• Strong attention to detail and problem-solving skills.
• A passion for startups and contributing to the growth of a new company.

Please ensure you have submitted the additional information in the form below: https://forms.afizan.com/index.php/275366?lang=en

Please note that we will not consider your application if this form is not submitted.

Position: Data Engineer / Administrator

Employment Type: Permanent

Payroll Company: Afizan Pte Ltd, Singapore

Work Location: Client Site, Maxwell Road, Singapore

Working Hours: 8:30 AM to 6:00 PM

Interview Timeline: Shortlisted candidates will be contacted within two weeks of application.

Compensation and Benefits

• Salary: $4,000 to $6,000 (commensurate with experience)
• Annual Salary Increment
• Yearly Performance Bonus
• Health Insurance
• 5G Smartphone with Plan
• Subsidized Training and Certifications
• Annual Leave: 14 days per year
• Sick Leave: 14 days per year

Key Responsibilities

• Support data engineering tasks, including implementing and maintaining data pipelines and resolving pipeline issues.
• Manage and maintain the data platform by performing regular software version upgrades across all environments, ensuring comprehensive testing and detailed documentation.
• Address daily operational requirements such as configuring applications, managing user access requests, resolving functional queries, and troubleshooting issues.
• Oversee platform maintenance, including application administration, system connectivity, interface integration, and model deployment.
• Conduct periodic reviews of source code and configurations to ensure code quality and verify that sensitive information, such as secrets, is not hardcoded or embedded in source code or configuration files.
• Perform regular patching of Azure Cloud Servers.
• Develop business processes by collaborating with stakeholders to understand use cases for building data pipelines, conducting data modeling, completing data collection forms, documenting use cases, defining data attributes across various data quality zones, and establishing naming conventions for datasets.

Candidate Requirements

• A degree in Computer Science, Engineering, or a related discipline.
• At least 3 years of relevant experience in this role.
• Expertise in architecting, designing, developing, implementing, and maintaining data platforms.
• Proficiency in scripting languages such as Python, PySpark, SQL, Bash, PowerShell, and Git commands.
• Hands-on experience with database technologies such as PostgreSQL, MS SQL, and Oracle.
• Familiarity with CI tools and technologies, including JupyterHub, GitLab, Jenkins, Azure Databricks, RStudio, and PowerBI.
• Experience with containerization technologies like Docker and Kubernetes.
• Skilled in geospatial tools, such as Geopandas, PostGIS, and platforms like ArcGIS Enterprise/Server.
• Proficient in working with public cloud platforms, including Azure and AWS.
• Demonstrates the ability to work collaboratively in a team and a willingness to learn.
• Strong communication skills with the ability to understand and communicate effectively in English, both spoken and written.
• Capability to work independently with minimal supervision and manage tasks proactively to meet deadlines.
• Ability to function effectively in a dynamic and fast-paced team environment.
• Experience with infrastructure-as-code tools such as Terraform and CloudFormation.
• Proficiency in Agile management tools, including Confluence, Jira, and Kanban boards.
• All nationalities welcome, but must be in Singapore with 2 years of local experience.

Why Join Us?

At Afizan Pte Ltd, we pride ourselves on fostering an inclusive and supportive environment where you can grow professionally while contributing to Singapore’s education landscape.

As a trusted name in Information and Communication Technology (ICT) solutions, we have been empowering small businesses, large enterprises, and government agencies for over a decade. Our mission is to make technology seamless and accessible, helping organisations achieve their digital transformation goals.

Join us and become part of a dynamic team dedicated to innovation and service excellence.

For more details, visit www.afizan.com

Prefer to be working in a FUN, YOUNG and DYNAMIC team?

We are Expanding and We want you !

WHAT DO WE DO :

With our proven in-house training program, we empower clients to boost their sales revenue and brand visibility through engaging several marketing channels. This involves identifying potential customers, showcasing in-depth product knowledge, and fostering face-to-face interactions with clients and customers

HOW CAN WE EMPOWER YOU :

• Tested and proven suite of solutions/strategies for you to empower your customers
• Positive, Exciting & Supportive Work Environment. Work Hard , Play Harder !
• Personalised 1-on-1 Training and Development
• Buddy support system
• Opportunities for Personal Development (Interpersonal, Understanding of different personalities and more)
• Clear Career Advancement Pathways
• Travel Opportunities (3-4 times a year based on performance)

WHAT WE WANT FROM YOU :

• No Prior Experience Required
• Eagerness to Learn and Grow
• Strong Communication Skills
• Team Player Mentality

About Us:

We are a leading player in the sales and marketing industry, specializing in face-to-face channels to market products for multinational clients.

Responsibilities:

• Engage with customers in face-to-face interactions to promote our clients' products
• Learn and implement effective sales techniques and strategies
• Collaborate with team members to achieve collective goals

Good to have:

• Good Interpersonal skills
• Must be team-oriented and willing to work in a fast-paced environment
• Positive learning attitude

Benefits:

• Specialised 1-to-1 coaching
• Opportunities for career advancement based on performance
• Travel opportunities and fun team-building activities

Join us in shaping the future of sales and marketing. Apply now and become part of our success story!

Role Purpose

The Program Manager will spearhead key Data Quality initiatives, including customer-facing reports and training programs, ensuring seamless management from concept to execution. This role is pivotal in delivering actionable insights through high-quality reporting and driving knowledge sharing across teams via tailored training initiatives. By working closely with internal stakeholders and customers, the Program Manager will ensure that all deliverables align with Data Quality strategic goals, and contribute to long-term organizational success.

Roles & Responsibilities

• Drive sessions with senior stakeholders from diverse business teams and geographical locations to understand and break down business problems, bringing an understanding of technology, analytics methods, and operating model approaches.
• Shape vision of the final program, decompose its roadmap into manageable project/stages, write a program proposal to secure stakeholders endorsement, project funding, and resources. Responsible for program budget.
• Drive change management activities along with steering committees and Data Quality Council to achieve excellent use of data to drive decision-making and resolution of key issues.
• Lead end-to-end project management: Oversee projects from requirements definition through deployment, including developing schedules, defining scopes, estimating budgets, and creating implementation plans with risk mitigation strategies.
• Manage communications from multiple project managers to make program status visible to all stakeholders.
• Drive continuous improvements in fundamental product features to achieve excellent use of data, including user community engagement and feedback loop.
• Develop and maintain strong relationships with external resources, including third-party vendors and researchers, to enhance project outcomes.
• Engage with the Data Quality Council and the Country Cross-Functional Data Quality teams to secure sponsorship, gain buy-in, seek guidance, and foster collaboration.
• Convince others to accept new concepts, practices, and approaches.
• Understand customers' and key stakeholders' interests and concerns.
• Provide knowledge transfers, and technical guidance to RO/CO cross-functional teams

Requirements

• Bachelor’s Degree, and Master’s Degree in Supply Chain / Logistics / Business Administration, preferred.
• Education and/or certification in LEAN/First Choice Bronze, Six Sigma, preferred.
• 5-10 years of experience in Industrial Engineering/Solutions Design/Consulting.
• 5+ years of progressive experience in at least one of the following: Project management and implementation, operations management, or organization design and implementation, required.
• Experience in regional or global roles preferred.

Job Description:

• Participate in the development and construction of the data platform.
• Implement and maintain data collection, processing, and analysis processes to ensure data accuracy and completeness.
• Collaborate with other departments and teams to ensure integration and coordination with other key systems.
• Conduct technical research and tackle technical challenges to ensure system availability, stability, and scalability.

Job Requirements:

• Familiar with the big data product ecosystem, including but not limited to Flink, Spark, Hive, Kafka, Doris, etc., with extensive practical experience in architecture design and performance optimization.
• Solid foundation in Java programming, understanding of I/O, multithreading, collections, and basic frameworks, with some knowledge of JVM principles.
• Proficient in using development framework technologies such as Spring Cloud and Spring Boot.
• Good logical thinking and quick problem-solving abilities, able to quickly identify problems and propose feasible solutions in complex product technical and application scenarios.
• Strong sense of responsibility, keen interest in big data-related technologies, and strong continuous learning and self-motivation abilities.
• Proficient in English and Mandarin to effectively communicate with colleagues in different regions and shareholders.

Job Description/Responsibility:

1. Provide CAD support for Land & Hydrographic Survey projects.

2. Prepare and set up processing plan for assigned projects and carry

out processing for assigned projects.

3. Determine Processing/Drafting requirements together with Survey

Manager.

4. Organize, maintain and safekeeping survey data and AutoCad

drawings.

5. Responsible for correct processing of survey data and correct

technical data submitted for the report.

6. Maintaining clear and organized design documentation and

records.

7. Creates and modifies drawings for all projects according to the

effective procedures and standards.

8. Working rights required for this role.

9. Singaporean/SPR preferred.

Job Requirement:

1. Process data (CAD).

2. Good knowledge of AutoCad and possesses technical proficiency.

3. Conversant with Data Processing Software.

4. Attention to detail and time management enables efficient data

process for timely project delivery.

5. Good command of English language.

Responsibilities;
Write production code and develop applications/interfaces for Trading
Analytics.
• Co-design the architecture for Data Platform and Data Analytics, including the development of Data Lake/Warehouse, optimization of data ows, and highly automated data cleansing.
• Test and deploy algorithms, develop applications, and interfaces for various use cases in Markets area.
• Ensure that applications are properly documented, and that the implementation is in line with internal architecture guidelines and principles.
• Provide support regarding Data Analytics platform and software.
• Automate, monitor, and improve performance of quantitative models.
• Interact with stakeholders and external vendors to optimize data and software infrastructure.
• Assist Product owner with technical questions, creating reports and
implementation roadmaps, technology assessment and decisions.
• Work and collaborate with stakeholders in an Agile-based approach.

Qualications & Skills;
• Bachelor Degree in Information Technology, Computer Science,
Engineering.
• 7+ years of work experience as a Developer/Software Architect. Experience in implementing nancial software is a plus.
• Advanced knowledge of architectural design of real time Data Analytics solutions including Data Architecture, Databases, Data Lakes, Data ows, and Data transformations.

Advanced coding skills in programming languages such as Python, Scala, and Java. Previous knowledge of C++, C#, and/or Haskell would be a plus.

• Expert knowledge of Cloud Computing regarding one of Azure, Google Cloud, or AWS.

• Knowledge of Spark, Databricks, and Kafka.

• Previous knowledge of Oracle, MS-SQL, MongoDB is a plus.

• Experience with Jira, Jenkins, Git, Docker, Kubernetes, and Dash (or similar) is a plus.

• Knowledge of object-relational mapping and object-oriented databases.

• Experience with real-time analytics, OneTick and/or KDB+ is a plus.

• Knowledge of VBA, R, Matlab, Tableau, and PowerBI is a plus.

• Knowledge of Big Data, Machine Learning, and Quantitative Finance is a plus.

• Collaborative, team player, open minded, and easy to work with.
• Procient presentation skills and high attention to detail.
• Able to explain technical results to nontechnical audiences.

greehill is looking for professional with good GIS and spatial orientation skills to process and quality control field date (photogrammetry and Lidar) to join our Singaporean team.

Who we are

As the global pioneer in nature-based smart-city solutions, we help cities around the world to become more sustainable and more resilient against climate change. We are leading in applying smart city technologies such as the latest remote sensing and machine learning to green urban assets. With our cloud-based platform cities improve the well-being of their citizens through a greener, healthier, safer and more resilient urban environment while reducing operational costs. We currently operate offices in Budapest, Berlin, Singapore, San Francisco and Paris.

Your contribution will be

• Verify the quality of acquired field data
• Process Mobile Laser Scanning trajectories and Terrestrial Laser Scanning data
• Align and adjust different measurements
• Ensure quality control of post-processed data
• Solve GIS related tasks of processing
• Manage camera adjustment
• Provide data export and data management

We need you to have

• Advanced computer skills (PC, Windows OS) with at least 5 years of experience
• GIS experience
• Good spatial (3D) orientation ability
• Ability and interest to quickly understand and apply new data processing pipeline
• Fluent English communication
• Strong team spirit

We give preference to

• Lidar data post-processing knowledge
• Experience with laser scanning, field data capture and data processing
• Knowledge of RIEGL processing software (RiscanPro, RiProcess)
• Knowledge of photogrammetry, camera calibration
• GNSS knowledge about RTK quality, raw GNSS data post-processing
• Interest in state-of-the-art technologies

As part of our recruiting process, we would like to request all interested applicants to apply directly through TD's Careers Site at:

https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Senior-Manager--Data-Scientist_R_1374555-1

Job Description:

Provide technical leadership across the Analytics function supporting fraud and financial crimes with an enterprise mandate. Role generally provides deep technical knowledge and expertise in customer interactions and financial crimes (including Fraud and AML) to explain complex data analysis and drive insights in a compelling manner to support a growth mandate and inform strategic change.

KEY ACCOUNTABILITIES

• Provide deep technical leadership and expertise to support and define future direction in one or more specialized areas or lead strategic development efforts on new or emerging data science related projects
• Work closely with business owners to identify opportunities and serve as an ambassador for data science
• Play a lead role on cross functional teams of data scientists, data and IT engineers, and business process owners to build cutting edge analytic solutions
• Design and deliver enterprise analytic solutions to our customers
• Develop powerful business insights from customer behavioural data and signals using advanced machine learning techniques
• Build complex statistical models that learn from and scale to petabytes of data.
• Provide analytical thought leadership and staying current on developments in data exploration and the application of data science
• Provide thought leadership and/or broad industry knowledge across multiple business / functional areas or across the enterprise
• Apply industry / analytical expertise to provide innovative and sound solutions that increase business results and/or minimizes risk
• Identify new analytical trends / data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and create analytical models that help answer impactful business questions
• Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured.
• Employ techniques and theories drawn on many fields within the broad areas of mathematics and statistics
• Be comfortable working through ambiguity and help make informed decisions
• Work in a highly interactive, team-oriented environment with Big Data developers and Visualization experts
• Act as a lead or top technical data scientist and work closely with senior leadership on significant data and analytics projects
• Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
• Develop creative and innovative data driven analytical solutions to optimize operational efficiencies and leverage synergies to support overall business strategies
• Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
• Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)
• Deliver advanced analytical capabilities above and beyond existing methods
• Exceptionally lead and run analytical projects autonomously and create and effectively deliver analytical presentations for executive audiences/stakeholders
• Showcase advance level peer leadership, impact and influence partner, and may mentor / coach peers
• Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques
• Act as a key business partner, guide and collaborate with business leaders to prioritize and identify key business needs and provide impactful analytical insights

EXPERIENCE & EDUCATION

• Undergraduate degree or technical certificate
• 12+ years relevant experience
• 3+ years managing a team supporting advanced machine learning
• Advanced coding skills (python, pyspark preferred)

• Support the transition of data migration activities from other vendors and ensure alignment with the overall migration strategy.
• Refine data migration requirements, update migration strategy, and coordinate with stakeholders to ensure all aspects of the migration are covered.
• Assess data quality issues, collaborate with business users to prioritize data quality analysis and address any concerns.
• Build and manage test cases, scenarios, test scripts, and define entry/exit criteria for successful data migration.
• Define and establish key performance indicators (KPIs) and dashboards to monitor the execution of the data migration process.
• Work closely with the Data Migration Lead to ensure adherence to timelines and project milestones while supporting the overall data migration strategy.
• IT Service Management (ITSM) experience, covering all phases of ITSM (e.g., ITIL).
• Business Analyst experience, including documentation and project management.
• Solid knowledge of ITIL or other ITSM frameworks.
• Working experience in banking/ financial service
• Experience in financial industry and/ or IT Service Management (ITSM) is a plus.
• Proficient in Microsoft Office (PowerPoint, Excel, Word) for documentation and reporting

We are looking for Data Engineer to support our project in Singapore. This is a 2 year contract role.

The Data Engineer will support the development and maintenance of the global AI sandbox, development of cutting-edge AI solutions, R&D, and provide technical guidance and support in the data domain to the teams under incubation that develop AI Products.

The role requires a strong technical background in Data Engineering, AI, and modern Cloud infrastructure, excellent technical skills, and the ability to collaborate with both internal and external stakeholders across technology, AI, and business to deliver impactful AI products. The Data Engineer will work on the delivery of high-quality data infrastructure, continuous improvement, and experimentation, and development of the company’s data expertise.

Key Responsibilities:

In this role, you will be an active member of the AI Lab, playing the role of Data Engineer to support the implementation of solutions built in AI labs:

• Build data pipelines to bring in wide variety of data from multiple sources within the organization as well as from relevant 3rd party sources.
• Collaborate with cross functional teams to source data and make it available for downstream consumption.
• Work with the team to provide an effective solution design to meet business needs.
• Ensure regular communication with key stakeholders, understand any key concerns in how the initiative is being delivered or any risks/issues that have either not yet been identified or are not being progressed.
• Ensure timelines (milestones, decisions, and delivery) are managed and value of initiative is achieved, without compromising quality and within budget.
• Ensure an appropriate and coordinated communications plan is in place for initiative execution and delivery, both internal and external.

Qualifications:

• Strong technical background in data, AI, and modern cloud infrastructure.
• Excellent programming skills in languages such as Python, SQL.
• Experience with Cloud Infra providers like Azure data bricks, Google cloud platform or AWS
• Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, Dataset / Dataframe API) or Hive query language (HQL)
• Knowledge of Big data ETL processing tools
• Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
• Basic knowledge of scripting (shell / bash)
• Experience of working with multiple data sources including relational databases (SQL Server / Oracle / DB2 / Netezza), NoSQL / document databases, flat files
• Basic understanding of CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
• Basic understanding of DevOps practices using Git version control
• Ability to debug, fine tune and optimize large scale data processing jobs

Argyll Scott Consulting Pte Ltd

about the company:
Our client is a prominent service provider known for delivering innovative and customized insurance solutions designed to cater to the varied needs of individuals and businesses.

about the job:

• Design and implement scalable data pipelines and ETL processes for extracting, transforming, and loading data from various sources.
• Optimize and monitor data workflows to ensure data quality, reliability, and performance.
• Provide clean and comprehensible data to end-users that can be efficiently used to create KPIs or for analysis purposes
• Automate data and reporting to support data analysis, data science, and the business.
• Collaborate with cross-functional teams to gather requirements and understand data needs for business intelligence and reporting.

skills and experience required:

• Bachelor’s Degree in Engineering, Computer Science or related field.
• 3 – 5 Years of working experience, with at least 3 year of experience in data engineer. Cloud Technology, Microsoft SQL Server and Data warehouse
• Strong Cloud Technology.
• Strong SSIS, SSAS, SSRS, Python
• Strong knowledge in SQL

To apply online please use the apply function, alternatively you may contact Dalpreet Kaur at [email protected] (EA: 94C3609 /R23111951)

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is looking for Data Engineer

Internal Code: A24122

This is a contract role - the engagement is from January 2025 to July 2025

This is a healthcare application:

• Mobile application (iOS and Android)
• Dashboard (React)

What will you do?

• Support the development and business teams in unit testing and archiving data, engineered features, and algorithmic inputs/outputs throughout the data pipeline and to support analytics.
• Proven experience as a data engineer/ data analyst in mobile app development projects and administrative dashboards.

1. Create unit tests throughout the data and algorithms domain:

• Work with engineering and business teams to implement wide-coverage unit tests of data and engineered features at different stages throughout the data collection and processing pipeline
• Create unit tests of inputs to and outputs from the algorithms that drive the clinical service
• The unit tests include validation of the inputs and outputs of black-box machine learning algorithms
• Establish a regular process to execute the tests and document their outcomes as a part of our product development and release lifecycle

2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs and outputs:

• Implement a process of taking snapshots of data/features input into algorithms necessary to recreate their outputs/predictions at any point in the past during the service
• Communicate requirements to the software development team

3. Assist in the successful delivery of regular service analytics and reports:

• Support the business and analytics teams in their daily and weekly delivery of reports on data completion, user engagement, and algorithm actions by addressing any data quality and validation requirements.

What are we looking for?

• Bachelor's Degree in computer science, engineering, business analytics, technology, or a related field.
• Minimum of 2 years of experience in data engineering, data analytics, or data product management roles within the tech industry. Experience in healthcare is a plus.
• Ability to implement tests in Python.
• Experience in machine learning algorithms
• Good understanding of the validation requirements of an algorithmic product. Knowledge of healthcare regulation and auditing requirements is a plus.

What do we offer in return?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Unlock Your Potential with Us!

Are you ready to grow both personally and professionally? We are seeking motivated individuals with a resilient attitude to be part of our clients' marketing campaigns in ASEAN.

Responsibilities:

- Assist in developing and implementing marketing plans to

support our products/services.

- Coordinate marketing activities, including events, promotions, and campaigns.

- Identify target audiences and consumer insights.

Requirements:

- Strong communication and organizational skills.

- Ability to multitask and prioritize tasks in a fast-paced

environment.

- Hardworking and willing to learn.

- Able to work independently or as a team.

Benefits:

- Opportunities for professional growth and development.

- Positive and collaborative work environment.

- Travelling exposure and opportunities

Apply now to find out more! Only shortlisted candidates would be notified

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are on the lookout for a Manager in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP) and Generative AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As a Manager, NLP and Generative AI, you will play a crucial role in the development and implementation of cutting-edge NLP solutions that address significant business challenges. Working closely with cross-functional teams, you will leverage your expertise in NLP to enhance our product offerings and streamline operational processes. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Key Responsibilities:

• Lead the design and development of NLP and Generative AI projects, ensuring alignment with business objectives and scalability across the organization.
• Conduct applied research in NLP to identify and deploy advanced techniques that enhance our data science capabilities, focusing on delivering practical business solutions.
• Foster a culture of innovation by staying abreast of the latest trends in AI and NLP, and actively sharing knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Manage project timelines, resources, and deliverables using agile methodologies, ensuring efficient progress from conception to deployment.
• Collaborate with the Technology team to integrate NLP solutions into our existing systems and platforms, enhancing functionality and user engagement.

Qualifications:

• Ph.D. degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Extensive experience in machine learning, NLP, and Generative AI, with a demonstrated ability to manage projects from inception to completion.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects that have delivered tangible business outcomes.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Solid understanding of agile project management principles, with experience leading teams and managing projects in a fast-paced environment.
• Excellent communication and leadership skills, with the ability to collaborate effectively with both technical and non-technical teams.
• Strong problem-solving abilities, with a creative and analytical approach to tackling challenges and driving results.

COMPANY DESCRIPTION

As the world's leading owner and operator of LPG carriers with five decades of operating experience, BW LPG promotes competitive, sustainable solutions to secure value for society and our stakeholders.

Our global footprint spans seven countries with 17 nationalities represented across our workforce. Our fleet of 39 Very Large Gas Carriers (VLGC) offer a total carrying capacity of over 3 million CBM. From spot voyages and time charters to Contracts of Affreightments (CoAs), our emphasis on flexible, reliable service has earned the trust of leading oil companies as well as trading and utility companies. More information about BW LPG can be found at www.bwlpg.com.

BW LPG is associated with BW Group, a leading global maritime company involved in shipping, floating infrastructure, deepwater oil & gas production, and new sustainable technologies. Founded in 1955 by Sir YK Pao, BW controls a fleet of over 490 vessels transporting oil, gas and dry commodities, with its 200 LNG and LPG ships constituting the largest gas fleet in the world. In the renewables space, the group has investments in solar, wind, batteries, biofuels and water treatment. BW LPG, as a member of the BW Group, is one of Forbes World's Best Employers 2023.

RESPONSIBILITIES

Summary:

The Senior Data Engineer has a role focusing on building our modern Lakehouse including owning pipeline development, data modeling and governance within a cross-functional team responsible for the end-to-end delivery of data products and analytics solutions.Additionally creating CI/CD pipelines for automated deployments and monitoring, and enforce data quality checks, ensuring data consistency, reliability, and compliance.

Key Responsibilities:

Working with Product Owners, Business Analysts and Data Analysts to ensure business requirements are translated into data solutions, deliver accurate and reliable datasets that enable impactful analytics and dashboards.

They collaborate with System Analysts and the Business to understand the business logic and data lifecycle within our systems and inform our solution design with a goal of balancing scalability and performance.

Skills:

• Collaboration and Communication Skills: Excels at working in a team to align data solutions with business needs, focused on creative problem-solving in a fast-paced environment.
• Analytical Thinking & Communication: Strong skills in analyzing and translating data-driven insights and requirements to both technical and non-technical stakeholders.
• Spark & Azure Databricks: Proficiency in designing and implementing data pipelines to support reliable data ingestion and transformation using Databricks and Spark.
• Data Modeling Expertise: Advanced SQL and Python skills for complex queries and data modeling, enabling efficient data access and transformation.
• CI/CD Pipeline Creation: Experience in creating CI/CD pipelines, enabling automated testing, validation, and deployment of data pipelines models using GitHub and GitHub Actions with Databricks.
• Infrastructure as Code: Experience in automating cloud infrastructure management for consistent deployment and scaling using tools like Terraform.

• 5+ Years in Data Engineering: Proven experience building and maintaining data infrastructure, with a deep understanding of data engineering principles and best practices.
• Agile Mindset and Experience: Thrives in Agile Environments, with a strong resilience, adaptability and responsiveness to change in fast-paced settings.

The position will be based in Singapore.

Only shortlisted candidates will be notified.

Job Scope:

Working with Engineering Teams internationally, the Data Solutions Architect provides and manages high quality architecture and design of Data Solutions for Banking Applications used for Capital Markets and Market Risk of an International Bank.

Job Requirements:

• Bachelor Degree in Computer Science / Information Technology
• At least 8 years of software development experience with ability to resolve complex IT issues
• Experienced in leading technical design from inception to proof of concept
• Highly proficient in using advanced features in Java programming language
• Java 8 development with multi-threading principles, good knowledge of Java data structure and objects
• Good knowledge of algorithms and data structures
• Strong fundamentals in data complexity analysis
• Understanding of CI/CD pipelines, and tooling
• Experience in Apache Storm, Flink and Spark
• Experience in cloud technologies
• Experience in Parrallel processing of the message transformation pipeline to fPML, Json and key/value
• Kafka publishing/distribution primarily and MQ
• Microservices, defining APIs and registering APIs in the service catalogue, APIs and functions
• Experience with Jira tracking system
• Experience in Agile methodology

Please feel free to reach out to Christopher Wong at [email protected] with your updated CV in MS Word format and we will arrange for a convenient time to speak more.

Job Description:

As an Application Support Engineer, you will act as a software detective, identifying and resolving issues in critical business systems. You will work independently and collaboratively to provide innovative solutions, becoming a subject matter expert (SME) in the process. This role involves troubleshooting, engineering support, and improving application support processes, with a focus on ETL tools, data pipelines, and database management.

Key Responsibilities:

· Identify and resolve issues within critical business systems.

· Develop and improve application support processes and strategies.

· Collaborate with cross-functional teams to troubleshoot and resolve complex technical issues.

· Conduct system audits to optimize performance and identify areas for improvement.

· Provide technical guidance and support to end-users.

· Profile, cleanse, and classify data.

· Design and develop data pipelines that ingest data from various sources.

Requirements:

· Hands-on experience with RDBMS such as Oracle, DB2, MS SQL, or PostgreSQL.

· Knowledge of database design and data modelling (logical and physical).

· Experience with ETL tools like SAS DI, Informatica, or Talend.

· Familiarity with data streaming technologies such as Kafka or Spark is an advantage.

· Experience with data visualization tools like Qlik, Tableau, or Power BI is a plus.

· Self-motivated and eager to learn, with a willingness to share knowledge.

Preferred Skills:

· Basic proficiency in Application Remediation, Data Replication & Synchronization, and IT Troubleshooting.

· Intermediate proficiency in ETL tools.

Job Description & Requirements

We are seeking a highly skilled Market Data Analyst Presales Engineer to join our dynamic team. In this role, you will play a pivotal role in driving sales by leveraging your deep understanding of market data and technical expertise. You will collaborate closely with the sales team to identify and qualify opportunities, conduct in-depth technical assessments, and deliver compelling product demonstrations.

Technical Expertise:

Develop a strong understanding of our products and services (Cryptocurrency, Investments, etc), including their technical specifications, capabilities, and benefits.

Stay up-to-date with industry trends, emerging technologies, and competitive landscapes.

Conduct in-depth technical assessments of client requirements and propose tailored solutions.

Contribute to the development of the investment strategy, focusing on emerging trends in Fintech and infrastructure.

Identify new areas for investment within the fintech space, particularly in Payment solutions and decentralized technologies.

Presales Support:

Collaborate with the sales team to identify potential opportunities and qualify leads.

Develop and deliver compelling product demonstrations, presentations, and technical proposals.

Address technical questions and concerns from prospective clients, providing clear and concise explanations.

Conduct proof-of-concept (POC) implementations and data analysis to showcase the value of our solutions.

Data Analysis and Insights:

Analyze market data to identify trends, opportunities, and potential challenges.

Leverage data analysis techniques to support sales efforts and provide valuable insights to clients.

Develop custom data analysis solutions to address specific client needs.

Required Skills:

Data Analysis, Market research, Presales

domain Skills:

Cryptocurrency, Investments, etc.

Portfolio management experience is preferred.