We are seeking a talented and experienced Senior Data Engineer (Quantexa)with expertise in Hadoop, Scala, Spark, Elastic, Open Shift Container Platform (OCP) and DevOps practices. Elasticsearch to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch. You will collaborate with cross-functional teams to build scalable and efficient data processing pipelines and search applications. Knowledge and experience in the Compliance / AML domain will be a plus. Working experience with Quantexa tool is a must.

Responsibilities:

·        Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives

·        Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions

·        Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data

·        Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data

·        Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch

·        Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch

·        Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

·        Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

·        Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

·        Ensure data quality and integrity throughout the data processing lifecycle

·        Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques

·        Optimize data engineering workflows for containerized deployment and efficient resource utilization

·        Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

·        Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

·        Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

·        Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

·        Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

1. More than 5 years of experience as a Data Engineer
2. · Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline
3. · Possession of Quantexa certification as a Data Engineer or Data Architect, with proficiency in the tool
4. · Demonstrated experience as a Data Engineer, utilizing Hadoop, Spark, and data processing technologies in large-scale environments
5. · Expertise in the Scala programming language and familiarity with functional programming principles
6. · Prior experience with the Quantexa tool is highly desirable
7. · Comprehensive understanding of Apache Spark architecture, including RDDs, DataFrames, and Spark SQL
8. · Advanced proficiency in designing and developing data infrastructure utilizing Hadoop, Spark, and associated tools (HDFS, Hive, Pig, etc.)
9. · Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration via Kubernetes
10. · Proficiency in programming languages commonly employed in data engineering, including Spark, Python, Scala, or Java
11. · Knowledge of DevOps methodologies, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
12. · Experience with Graphana, Prometheus, and Splunk will be considered an added advantage
13. · Background in integrating and utilizing Elasticsearch for data indexing and search applications
14. · Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization techniques
15. · Experience with distributed computing, parallel processing, and handling large datasets
16. · Proficient in performance tuning and optimization methods for Spark applications and Elasticsearch queries
17. · Strong problem-solving and analytical capabilities with the capacity to debug and resolve intricate issues
18. · Familiarity with version control systems (e.g., Git) and collaborative development environments

• Helping to clean and validate customer, supplier and inventory data by identifying and correcting errors and inconsistencies. Ensuring accuracy and completeness of data.

• Collaborate with team members to interpret data and support decision-making processes

• Perform data analysis using various tools and techniques to extract insights and trends. Good knowledge of Power BI is an advantage for building visualization dashboards. Strongly self-motivated, proactive, and willing to learn due to our knowledge limitation in Power BI.

• Use of data storytelling to do walkthroughs on the reports' contents and data insights to users.

• Improve the data collection and cleaning methods through automation.

• Documenting the details of ERP processes and other related information for future reference.

• Perform ad-hoc data analysis.

Position: Data Processing
Department/Location: Novena Square
Working Hours:

• Monday to Thursday: 8:30 AM to 6:00 PM
• Friday: 8:30 AM to 5:30 PM

Position Duration: 4 months (starting February 2025)

• Job Responsibilities:
• Collect and compile data from various web applications.
• Clean and organise raw data to ensure accuracy and completeness.
• Perform basic data analysis tasks.
• Create and maintain databases.
• Generate routine reports and data visualisations.
• Assist in interpreting data and identifying trends for actionable insights.
• Support team members in reviews and analyses based on data insights.
• Contribute to research projects conducted by the team.

Requirements:

• Proficiency in Microsoft Excel.
• Familiarity with data analysis tools.
• Strong attention to detail and accuracy.
• Good problem-solving skills.
• Effective written and verbal communication skills.
• Ability to meet deadlines and manage multiple tasks efficiently.

This role is an excellent opportunity to gain hands-on experience in data processing and analysis. If you meet the requirements and are available for the stated duration, we encourage you to submit your application promptly!

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.

JOB DESCRIPTION

This role encompasses two primary responsibilities, the first involves data science activities and the second focus on full-stack development.

Data Science Responsibilities:

• Collect, clean, and preprocess large datasets
• Develop and deploy machine learning models to address challenges related to Keppel energy systems, including predictive modeling, classification, and clustering
• Apply statistical analysis to derive actionable insights and support data-driven decision-making
• Perform data visualization to effectively communicate findings to both technical and non-technical stakeholders
• Collaborate with data science and engineering teams to identify opportunities for leveraging data in product development and operations

Full Stack Development Responsibilities:

• Design, develop, and maintain scalable web applications, ensuring seamless integration with data pipelines and models
• Build APIs and microservices to serve machine learning models and integrate with front-end interfaces
• Implement responsive front-end interfaces using modern frameworks (e.g., React) to display data insights and support interactive user experiences
• Optimize back-end services for efficiency and scalability, ensuring secure data access and real-time performance
• Troubleshoot and debug issues across the full stack (front-end, back-end, and database layers)

Such other duties and responsibilities as may be reasonably requested by your immediate supervisor / the head of department from time to time.

JOB REQUIREMENTS

• Bachelor's degree in computer science, software engineering or related field
• Strong knowledge of machine learning algorithms, statistical analysis, and data mining techniques.
• Strong understanding of back-end frameworks and technologies (e.g., Node.js, Django, Flask, Express).
• Proficiency in programming languages such as Python for data science applications.
• Proficiency in front-end technologies
• Hands-on experience with databases and cloud-based data storage solutions.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)
  

Job Description

• Industry/ Organization Type: Telecommunication Services (Data Center)
• Position Title: Facilities Maintenance Technician
• Working Location: New Tech Park & Techlink
• Working Hours: Rotating 8-hour shifts
• Salary Package: Basic Salary + Shift Allowance ($300) + Variable Bonus + Medical & Flexi Benefits
• Duration: Permanent

Key Responsibilities

• Maintain and service building facilities, including electrical and mechanical systems.
• Perform minor repairs and improvements to buildings and equipment.
• Conduct routine preventive maintenance on building systems and infrastructure.
• Manage and oversee contractors and vendors to ensure cost-effective, quality repairs and maintenance.
• Provide engineering support during weekends, public holidays, or extended hours when necessary.
• To standby 24 hours on duty roster (will provide additional standby allowance).

APPLY NOW!!!

• Minimum ITE Certificate/Diploma in Mechanical/ Electrical Engineering, Facilities Management or related fields.
• With hands-on skill set in mechanical (ACMV) and electrical systems, with proficiency in maintenance, troubleshooting, and repair.
• Prior work in critical environments like Data Centres, Cleanrooms, or Semiconductor plants is an added advantage.
• Effective communication skills and ability to work as part of a team.
• Competent in using Microsoft Excel and Word.
• Good understanding of facility M&E (Mechanical & Electrical) systems.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #64875 on the email subject.

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

Anradus Pte Ltd | EA License No. 20C0161 | Adelin Chong | EA Reg No.: R1875641

Job Responsibilities:

· Preparation and sending of annual review package & quarterly statements

· Providing of support to consultants (Preparing of documents)

· Data entry into the system accurately

· Adhoc tasks and projects as assigned

Job Requirements

· Minimum GCE A Levels & above

· 1 year of relevant experience would be an added advantage

· Able to start immediately or within short notice

Interested candidates, kindly email your detailed resumes in MS word format to [email protected]

Attention to Joseph Koh Wei Jie (R1873431)

Shortlisted candidates will be notified

www.ambition.com.sg

EA Registration Number: R1873431

Data provided is for recruitment purposes only

Business Registration Number: 200611680D. License Number: 10C5117

JOB SUMMARY

• The Financial crime end to end Programme aims to evaluate FC processes E2E to improve client experience, enhance control effectiveness and deliver cost transparency. The Financial Crime Data Analytics Specialist is a pivotal role focused on driving data-driven insights across the entire financial crime lifecycle pan bank (CIB and WRB), to produce comprehensive process and cross functional data driven insights.
• This role requires a strategic thinker with the ability to assess financial crime processes, analyze costs, and uncover opportunities to optimize operations and reduce inefficiencies while maintaining regulatory compliance.
• As a subject matter expert in financial crime analytics, you will collect, analyze, and interpret data from diverse functions—including KYC, EDD, transaction monitoring, names screening, transactional screening, case management, RFI, SARs filing etc. You will provide actionable insights, develop interactive dashboards, and identify trends to support performance improvement and cost reduction initiatives.

RESPONSIBILITIES

1. Comprehensive Financial Crime Process Analytics

• Conduct detailed analyses of financial crime workflow
• Collect data from e2e processes across functions to uncover insights that are not typically covered within function’s analytics including identify inefficiencies, bottlenecks, and redundancies across teams and systems.
• Assess how financial crime processes interact, ensuring that dependencies between functions (e.g., alert triaging and case escalation) are optimized.

2. Financial Crime Cost and Resource Analysis

• Analyze financial crime cost structures, focusing on operational, technology, and resource-related expenses.
• Identify cost drivers and inefficiencies, providing recommendations for cost optimization without compromising compliance or effectiveness.
• Monitor and report on the financial impact of operational changes, including automation and resource allocation adjustments.

3. Data Integration and Management

• Aggregate data from multiple systems and functions, ensuring consistency, accuracy, and completeness.
• Integrate external data sources such as sanctions lists, adverse media feeds, and various detection systems to enrich analytics.
• Ensure adherence to data governance and regulatory requirements, establishing trusted datasets for comprehensive analysis.

4. Advanced Analytics and Insight Generation

• Use statistical and predictive analytics to identify trends, anomalies, and emerging risks in financial crime processes.
• Develop models to analyze false positive rates, throughput times, and alert-to-case conversion rates, identifying areas for improvement.
• Provide actionable insights to enhance the effectiveness and efficiency of risk detection and mitigation processes.

5. Reporting, Visualization, and Performance Monitoring

• Design interactive dashboards and detailed reports tailored to the needs of compliance, risk, and senior leadership teams.
• Create visualizations that clearly communicate key metrics and highlight areas of risk, inefficiency, and opportunity.
• Establish metrics and KPIs to continuously monitor the performance of financial crime functions and their integration points.

6. Driving Process Improvements

• Collaborate with process owners to implement data-driven recommendations for improving workflows, reducing manual effort, and streamlining operations.
• Support the adoption of advanced technologies such as automation, machine learning, and AI to enhance detection capabilities and reduce operational burdens.
• Conduct root cause analyses to address recurring inefficiencies, ensuring sustainable improvements across functions.

7. Stakeholder Engagement and Collaboration

• Partner with Compliance, Risk, Operations, and Technology teams to ensure alignment on analytics initiatives and regulatory expectations.
• Act as a bridge between financial crime functions, fostering collaboration and holistic problem-solving.
• Support audit and regulatory requests by providing comprehensive data analysis and insights into financial crime operations.

8. Continuous Learning and Adaptation

• Stay informed about regulatory changes, industry best practices, and emerging financial crime typologies.
• Incorporate evolving risks and trends into analytics models and reporting frameworks.
• Evaluate and refine analytics tools, methodologies, and processes to adapt to the dynamic financial crime landscape.

Key Deliverables

• Development of end-to-end financial crime performance metrics.
• Analytical models to assess costs, resource utilization, and process effectiveness.
• Interactive dashboards providing transparency for FC E2E processes
• Data-driven recommendations for process improvements and cost reduction initiatives.
• Reports for senior management highlighting opportunities for optimization and progress on key initiatives.

Strategy

• Provide input to the vision of bank’s Financial Crime processes to future proof the bank.
• Continuously develop knowledge of business processes and understanding of industry best practice.

Business

• Partner with stakeholders across the organisation (WRB, CIB, FCSO, FCC CIO, Data)

Processes

• Understand WRB and CIB processes related to Financial Crime business strategy and align process improvements and metrics to these priorities

People & Talent

• Support a change mindset, building a culture of client centricity, improvement habit, agility, and accountability through standardised metrics and measurement, with the expectation that everyone in Operations are drivers and owners of client outcomes.
• Continually strive to share key relevant knowledge and learnings with the others across the team.
• Lead through example and build the appropriate culture and values, embedding a high level of team engagement.
• Ensure ongoing training and development for professional and personal self-growth.

Risk Management

• Manage changes and reporting in line with all relevant risk management frameworks, where applicable

Governance

• Develop awareness and understanding of the regulatory framework in which the Group operates and the regulatory requirements and expectations relevant to the role.
• Support effective governance in compliance with applicable internal policies and external laws and regulations, overseeing changes in business controls as required.

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Lead to achieve the outcomes set out in the Bank’s Conduct Principles
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders

• FC E2E Programme Director
• FC E2E Accountable Executives (WRB & CIB)
• FCSO & FCC MT
• Head of KYC/ Onboarding and key Subject Matter Experts in CIB and WRB
• Head of Compliance and key Subject Matter Experts
• Head of Data/ Chief Data Office
• T&O Programme Management
• Programme Directors, Hives, Architects and Product Owners of Satellite Programs contributing to the delivery of the FCE2E transformation.

Other Responsibilities

• Analytical - Excellent analytical skills, including ability to use business intelligence tools, and sort through complex data to articulate business trends and implications.
• Discipline - Excellent time-management skills and ability to handle multiple tasks simultaneously. Highly process and policy oriented.
• Attitude - Goal-oriented, positive and proactive. Comfortable in a fast-paced, results-oriented work environment. Ability to communicate effectively with senior leaders.

Our Ideal Candidate

• 5+ years in data analytics within the financial services industry or within Banking industry.
• Work experience especially in Financial Crime related roles is a requirement.
• Strong understanding of Financial Crime related processes, technology, rules and regulations are requirements,
• Bachelor’s or Master’s degree in Data Analytics, Business Analytics, Statistics, Computer Science, Finance, or a related field.
• Advanced expertise in analytics tools (e.g., SQL, Python, R) and business intelligence platforms (e.g., Tableau, Power BI).
• Experience in data integration, process mining, and workflow analysis tools.
• Strong understanding of data governance, quality assurance, and management best practices.
• Comprehensive knowledge of financial crime processes
• Understanding of financial crime typologies, emerging risks, and advanced detection techniques using AI/ML.
• Exceptional analytical skills, with the ability to uncover insights from complex datasets and translate them into actionable recommendations.
• Strong problem-solving skills, focused on practical and sustainable improvements.
• Ability to articulate technical findings to diverse stakeholders, including non-technical audiences.

Role Specific Technical Competencies

• Data Science
• Statistics
• Written and oral presentation skills
• Data Science & Programming (Python & R)
• Business intelligence platforms (e.g., Tableau, Power BI).
• Financial Crime knowledge

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

Responsibilities for Data entry assistant

• Transfer data from paper formats into computer files or database systems using keyboards, data recorders or optical scanners
• support in adhoc admin duties
• Create spreadsheets with large numbers of figures without mistakes
• Verify data by comparing it to source documents
• Update existing data
• Retrieve data from the database or electronic files as requested
• Perform regular backups to ensure data preservation
• Sort and organize paperwork after entering data to ensure it is not lost
• Greet visitors and point them in the right direction, answer inquiries, and create a welcoming environment
• Organize and maintain files and databases in a confidential manner
• Manage communication including emails and phone calls
• Screen phone calls, redirect calls, and take messages
• Schedule appointments, meetings, and reservations as needed
• Receive invoices and review for accuracy
• Assist HR Manager on all related HR/Admin duties
• Team player to work in office environment

Qualifications for Data entry Assistant

• High school diploma or general education.
• 1-2 years of clerical, secretarial, or office experience
• Proficient computer skills, including Microsoft Office
• Strong verbal and written communication skills
• Any additional certifications
• High degree of attention to detail
• Data entry experience
• Working knowledge of general office equipment

Responsibilities:

Product

• Regular monitoring of the product mix to identify sales trends. Highlight sales opportunities for business growth and identify any gaps
• In-depth analysis of sales from different Distribution channels (Tied Agency, Banks, FAs, Brokers, Digital, etc)
• Analysis of LIA Statistics to identify industry trends and movement of competitors
• Conduct customer profile analysis of current products to enhance sales proposition & positioning
• Monitoring of Key Product KPI and highlight concerns/ issues
• Work closely with the Product Proposition Specialists to identify key top districts to engage and area of focus to bridge any sales gap
• Analysis of product mix by districts to influence sales behavior of producers to achieve the right business mix.

Vitality

• Regular monitoring to support users on their daily decisions on Vitality operations, strategic planning and specific business performance
• Identify and analyse Vitality data points to provide meaningful insights and findings that would improve business decision on product refinement, improvement of benefits & features, allow better projection when designing sales and members campaigns to drive business performance
• Work with key business owners & stakeholders to identify any business opportunities or issues that require insights and the data requirement that would help in their daily work decisions

Data Management

• Constant review of operational process and provide enhancements to eliminate redundancy and improve efficiency
• Participate in the Group Operations Critical Data Element initiative for proper data governance
• Ensure data integrity in all data related process and outcome

Requirements:

• Minimum 5 years experience in Data Analytics field
• Experience in programming languages such as SQL or equivalent
• Proficient in data analytics and visualization tools such as Alteryx, Databricks, Tableau or equivalent
• Ability to process large datasets and complete projects in an accurate and timely manner

Overview

We are seeking a skilled Infrastructure Engineer to manage, enhance, and automate our Market Data platform and related infrastructure. This role combines expertise in Linux and Windows environments, scripting, observability tools, and CI/CD pipelines, with a focus on creating scalable, high-performance systems for a dynamic environment.

Key Responsibilities

• Platform Administration & Maintenance:Maintain and manage the Market Data ananlystic tool, including service configuration, memory loader setup, locator files, and system processes.
  Perform logfile investigations and troubleshoot issues across Linux and Windows infrastructures.
  
• Automation & Tool Development:Drive automation efforts by developing and managing scripts using Python, Bash, or PowerShell to streamline environment provisioning, deployment, and configuration tasks.
  Build and maintain custom deployment tools to optimize the installation and upgrades of the Market Data platform.
  
• CI/CD & System Integration:Design and manage robust CI/CD pipelines using tools like Jenkins, BitBucket, GitLab, and Octopus.
  Integrate deployment pipelines with source control systems, testing frameworks, and observability platforms.
  Automate deployment processes using Infrastructure-as-Code (IaC) tools such as Terraform and Ansible.
  
• Performance Optimization & Scalability:Collaborate with developers and system administrators to optimize low-latency, high-throughput systems.
  Implement solutions to ensure the platform’s ability to scale and handle dynamic workloads efficiently.
  
• Observability & Reliability:Develop monitoring, logging, and alerting mechanisms using Grafana, ElasticSearch, fluent-bit, and OpenTelemetry to proactively identify and resolve issues.
  Ensure deployments meet reliability and security standards.
  
• Collaboration & Engineering Culture:Partner with product teams and quant engineers to understand business requirements and align tools with operational needs.
  Foster a culture of engineering excellence, standardization, and automation across the team.
  Contribute to documentation efforts and advocate for best practices.
  

Required Qualifications

• Linux/Windows Expertise:Strong background in Linux administration, including software package management, text processing, filesystem management, and shell scripting.
  Experience managing and troubleshooting Windows-based environments.
  
• DevOps & Automation:Proficiency with CI/CD tools like Jenkins, BitBucket, GitLab, Octopus, and Maven.
  Strong scripting skills in Python, Bash, or PowerShell.
  Hands-on experience with Infrastructure-as-Code tools like Terraform or Ansible.
  
• Monitoring & Messaging Systems:Familiarity with observability tools such as Grafana, ElasticSearch, and OpenTelemetry.
  Experience with communication stacks like RabbitMQ, Kafka, WebSocket, and WebSphere MQ.
  
• Market Data Platforms & Distributed Systems:Familiarity with market data systems and their configuration, optimization, and administration.
  Knowledge of distributed architectures, high-throughput systems, and market data infrastructure.
  

Preferred Qualifications

• Experience deploying and managing OneTick or similar time-series databases.
• Knowledge of containerization technologies (Docker) and orchestration platforms (Kubernetes).
• Background in financial trading systems or market data infrastructure.
• Familiarity with Agile methodology and tools (SAFe, JIRA, Confluence).
• Strong knowledge of messaging frameworks such as Kafka or ZeroMQ.
• Ability to work independently and collaboratively in a global, dynamic team environment.

Responsibilities:

• Support data collection and analysis for risk reporting
• Assist in preparing reports and presentation materials
• Work closely with cross functional teams to gather data requirements and ensure data integrity
• Identify opportunities for process improvement and operational efficiency

Requirements:

• Strong understanding of the application of data analytics and processing tools
• Experience in Tableau, MS Excel, etc.
• Good oral and written communication skills
• Work experience in financial industry is preferred but not required.

Key Responsibilities:

Python Development:

• Develop efficient, reusable Python code while adhering to Object-Oriented Programming (OOP), Don't Repeat Yourself (DRY), and Test-Driven Development (TDD) principles.
  • Lead the design, development, and maintenance of Python-based applications.

Cloud Infrastructure:

• Build and manage serverless applications using AWS services such as Lambda, DynamoDB, SNS, SQS, S3, and CloudWatch.
• Ensure the scalability, performance, and security of cloud-based systems.

Collaboration and Agile Development:

• Collaborate with cross-functional teams including front-end developers, DevOps engineers, and product managers to deliver features in an Agile environment.
• Participate in daily stand-ups, sprint planning, and retrospectives to contribute to team goals.

Performance Optimization and Troubleshooting:

• Troubleshoot and optimize applications to enhance system performance.
• Resolve complex technical issues related to cloud services and Python-based applications.

Code Review and Testing:

• Participate in code reviews to maintain high code quality.
• Ensure comprehensive testing and participate in the continuous integration and deployment (CI/CD) process.

Containerization:

• Work with containerization technologies like Docker to package and deploy applications.
• Support container-based development and deployment environments.

Security and Compliance:

• Implement security best practices in line with cloud-based systems.
• Ensure compliance with internal and external regulations related to data security and software development.

Qualifications:

Experience:

• 5+ years of hands-on Python development experience.
• Proven experience in developing serverless applications using AWS Lambda, DynamoDB, SNS, SQS, S3, and CloudWatch.
• Experience with containerization tools like Docker.

Skills:

• Strong understanding ofOOP, DRY, TDD principles, and other software development best practices.
• Experience with troubleshooting and optimizing cloud-based systems.
• Hands-on experience with CI/CD tools and processes.
• Knowledge of Agile methodologies and working in cross-functional teams.

Preferred Skills:

• Experience with additional cloud platforms (e.g., Google Cloud, Azure).
• Familiarity with infrastructure-as-code (e.g., AWS CloudFormation or Terraform).
• Knowledge of microservices architecture and distributed systems.

Responsible to manage system development, implementation and support of EAI applications, including:

• Develops applications that effectively accomplish client objectives and user needs.

• Designs and writes code for applications and maintain applications databases.

• Analyzes and edits existing software applications to improve and optimize functionality, fix problems, and enable their use on new hardware platforms.

• Remodels and adapts applications as needed to optimize performance.

• Identifies specific client needs and preferences related to the application.

• Tests applications extensively to ensure they are error and bug-free.

• Installs applications and acts as technical advisor.

• Communicates with relevant internal technical stakeholders to obtain information on project limitations, performance requirements and interfaces.

• Consults with clients in the design phase to determine client needs.

• Produces software documentation following company/client software process and templates.

• Participates in software product review meetings and team meetings.

• Performs any other related task as required.

Key Requirement

• Bachelor's degree or equivalent in computer science or software engineering or related field.

• Seasoned Software Applications Engineering, Software Development experience, or related work experience.

• Seasoned experience with Programming Languages such as (but not limited to) ANSI C, C++, and Unix Korn Shell programming

• Seasoned experienced with Linux or Unix and Windows operating systems.

• Seasoned experience working with Oracle Tuxedo, IBM MQ Series.

• Experience in banking or financial industry

• Certification in various programming languages, for example (but not limited to) Java, Perl, Python, C++ preferred.

About Vantage Data Centers

Vantage is committed to being a workplace of inclusion, equity, respect and acceptance. We celebrate diversity and intentionally seek out opportunities to learn from one another’s experience.

Vantage Data Centers powers, cools, protects and connects the technology of the world’s well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands.

Technology & Systems Department

The Technology & Systems department drives technological innovation for the company and advances the technology strategy to support global growth. This includes IT, Software Development, OT / Automation Systems, and business process improvement. At Vantage, we are very hands on. In most cases, we specify, purchase, configure and maintain all networking and server hardware. We also work closely with partner VARs to learn about the latest technology changes so we can make informed purchase decisions. The Technology & Systems department participates in designing each of our new data center building’s networking infrastructure, including but not limited to diverse pathways connecting to carriers, meet-me room (MMR) hosting (rack, cabs, ladders, cross connect panels…), wireless AP coverage, etc.

We rely on extreme collaboration with Sales, Construction, Operations and Corporate Functions to drive simplification, establish global standards with continuous improvement and speed to value. We are working to build a reliable, scalable, sustainable, and secure technology roadmap/landscape that enables us to better serve our customers and employees and be the partner of choice. Our focus on speed to value with extreme collaboration and financial/execution discipline. We strive to double the good, halve the bad, in half the time.

Essential Job Functions

• Manage, support and maintain Vantage IT infrastructure
• Manage VMware/Hyper-v virtual environment with Dell SAN and Vsan Technology.
• Setup and configure Windows and Linux Servers in VMware virtual environment
• Experience managing Internal and External (Windows DNS, Godaddy, Bind 9, CSC)
• Administration of Active Directory 2019, Azure AD, Office 365 and Intune.
• Design, manage and test data backup and disaster recovery.
• Experience with scripting and automation of administrative tasks
• Setup, support and manage network monitoring system (PRTG, OP Manager, Greylog, Elastic, Zabbix)
• Manage tasks in accordance with client SLAs.
• Help develop and implement Standard Operations Procedures
• Interface with internal data center design team, construction team, supporting data center infrastructure augments as needed
• Establish and maintain configuration baselines for Windows and Linux servers, ensuring consistency and compliance with security standards.
• Automate configuration management tasks, Develop, and maintain automation scripts and workflows to streamline repetitive tasks and processes.
• Implement configuration drift detection and remediation processes to ensure systems remain in a secure and compliant state.
• Implement controls and measures to prevent common security misconfigurations and exposures.
• Monitor security advisories and alerts from vendors and security organizations to stay informed about emerging threats and vulnerabilities.
• Integrate automation tools with existing systems and processes to improve efficiency and reliability.
• Analyze data and trends to identify areas for improvement and make data-driven decisions.
• Implement and maintain automated patching processes using Puppet, Endpoint Central or similar automation tools.
• Provide training and knowledge sharing sessions for IT staff on configuration management and vulnerability remediation processes.

Job Requirements

• Bachelor’s degree in information technology, Computer Science, or a related field.
• A minimum of 6 years of related experience is required.
• Experience installing, configuring, and maintaining a distributed patch management infrastructure.
• Excellent automation, reporting and troubleshooting skills.
• Knowledge of Office365, monitoring systems, databases
• Demonstrated ability to solve complex technical problems.
• Ability to work under pressure and manage multiple projects.
• Work under limited supervision, both independently and within a team environment.
• English is required (Spoken and Written) for this position due to the nature of the role requiring interactions with department and stakeholders in the North America, Europe and APAC.

We operate with No Ego and No Arrogance. We work to build each other up and support one another, appreciating each other’s strengths and respecting each other’s weaknesses. We find joy in our work and each other, actively seeking opportunities to inject fun into what we do. Our hard and efficient work is rewarded with an above market total compensation package. We offer a comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations.

Throughout the year, the advantage of being part of the Vantage team is evident with an array of benefits, recognition, training and development, and the knowledge that your contribution adds value to the company and our community.

Don't meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values.

Vantage Data Centers is an Equal Opportunity Employer

Vantage Data Centers does not accept unsolicited resumes from search firm agencies. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Vantage Data Centers.

Location: Sim Drive
Salary: $2500-$3300
Japanese MNC
Mon to Fri 9am to 6pm

No experience welcome/Entry level

Job Description

• Receive orders from Customers, create sales orders and shop orders.
• Provide customer support and management of customer order schedule.
• Co-ordinate with Program Management team in providing quotes to customers.
• Consult with Manufacturing Department regarding equipment, manpower, and workload. Participate in meetings to discuss control problems.
• Ensure strategic development and implementation of long-term contracts with supply base.
• Manage and oversee inventories in our warehouse and at customer sites for those 'Kanban' part numbers
• Receive, interpret, discuss, and edit customer and sales orders. Respond to customer inquiries such as product selection and requests for prices and quotations.
• Issue PO to suppliers based on actual order & forecast and expedite for material as required
• Negotiate with suppliers to support cost reduction and Lead time reduction
• Perform other duties as requested by management.

Requirements

• Expediting skills
• Working knowledge of Microsoft Office applications required.
• Working knowledge of ERP database and access database required

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

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

Location: Yishun

Mon to Fri 8.30am to 5.30pm

salary: $3000-$3500

Japanese MNC

Have AWS & bonus

Industry: Electronic component manufacturing

Job Highlight

• Work life balance
• Career progression

Job Description

• Serve existing customers
• Understand customers’ needs, obtain feedback, and accurately forecast short-term and long-term requirements.
• Proactively explores business opportunities and expands market share including developing and implementing market penetration strategies to maximize business opportunities.
• Other adhoc duties as assigned.

Requirements

• No experience / Fresh / Entry welcome
• Diploma in engineering
• Ability to communicate effectively in English and to be bilingual (for business communication)

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

No experience/Diploma in Precision/Mechanical/Mechatronic/Electrical/Electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400-$2800+OT+allowances>$3K++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Address: Gul Circle (Have company bus transportation islandwide)

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

No experience/Diploma in Precision/Mechanical/Mechatronic/Electrical/Electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400-$2800+OT+allowances>$3K++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Address: Gul Circle (Have company bus transportation islandwide)

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

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

Basic (no experiene / fresh)-start from $2600, after 3 months confirmation $2700

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

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

Basic (no experiene / fresh)-start from $2600, after 3 months $2700

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

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215