Responsibilities

• Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
• Experience in designing application solutions in hadoop ecosystem
• Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
  HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
• Good knowledge in data warehousing system
• Experienced in any scripting language (SHELL, PYTHON)
• HortonWorks distribution and understanding on SQL engines (Tez, MR)
• Java/RestServices/Maven experience is a value addition
• Control-M development. Monitoring Resource utilization using Grafana Tool
• Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
• Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
• Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Responsibilities

• Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
• Experience in designing application solutions in hadoop ecosystem
• Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
  HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
• Good knowledge in data warehousing system
• Experienced in any scripting language (SHELL, PYTHON)
• HortonWorks distribution and understanding on SQL engines (Tez, MR)
• Java/RestServices/Maven experience is a value addition
• Control-M development. Monitoring Resource utilization using Grafana Tool
• Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
• Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
• Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Zenith Infotech is a Tech Recruitment Company in Singapore for the past 27 years. We are looking for a suitable candidate for the above role

• Perform operation, installation, and monitoring of big data platforms
• Ensure the reliability and normal operation of multiple core systems for big data and online computing, resolving issues within the agreed SLA
• Evaluate infrastructure requirements for deployments and upgrade activities
• Develop and maintain technical documentations related to design, configuration, troubleshooting, backup, DR, etc
• Ensures deployment and operations of the data platform comply with prevailing security, regulations and audit requirements
• Provide recommendations on data governance practices and in-depth optimizations best practices

Requirements:
.DevOps and system engineers in Unix
• Solid computer software basic knowledge; understand Linux operating system, storage, network IO and other related principles
• Familiar with one or more programming languages, such as Python/Go/Java/Shell/Ansible
• Experience with Cloudera, Informatica, or Denodo and its runtime components would be highly advantageous
• Relevant computing/distributed/big data system experience (Hadoop/HDFS /Kubernetes/Docker/OpenStack/Hadoop/Spark/Flink,etc.) would be advantageous
• Good data structure and system design skills highly preferred
• Good knowledge of information security highly preferred

• Develop and implement methods, processes, and systems to consolidate and analyze diverse, unstructured data sources, delivering actionable insights for management.
• Create and code software programs, algorithms, and automated processes to clean, integrate, and evaluate large datasets from multiple sources.
• Collaborate with business experts to enrich data and uncover meaningful insights to build practical solutions.
• Automate repetitive data tasks to improve efficiency and reduce manual intervention.
• Design data visualizations to clearly present findings and recommendations to stakeholders.
• Stay updated on the latest trends and best practices in data science, machine learning, and artificial intelligence.
• Support Global IFF Business Control with various tasks and project requirements.
• Assist with administrative duties and ad-hoc tasks as assigned by the Head of Department.

Requirements:

• Diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 1–2 years of experience in a data science role; experience in a similar industry is a plus.
• Proficiency in programming languages such as Python, R, SQL, and PowerShell, with experience in data manipulation and analysis libraries.
• Familiarity with data visualization tools like Power BI and the ability to effectively communicate complex analyses to non-technical stakeholders.
• Strong problem-solving and analytical skills, with the ability to translate business needs into data-driven solutions.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

Enhance Generative AI Accuracy:
1) Build and curate a comprehensive knowledge base to serve as a foundation for the Generative AI model.
2) Evaluate and analyse AI-generated responses to identify areas of improvement and optimize accuracy.

Response Analysis and Evaluation:
1) Identify, analyse, and assess the quality of AI-generated responses, ensuring they align with company standards and customer expectations.
2) Collaborate with the AI Development team to implement necessary adjustments to improve response quality.
Safety Scenario Establishment:
1) Develop and implement safety scenarios to mitigate the risk of inappropriate or sensitive AI responses, maintaining ethical and responsible AI interactions.

Data Set Maintenance:
1) Deconflict and curate data sets across various platforms to ensure a diverse and clean input for the Generative AI model.
2) Regularly update and refine data sets to reflect evolving language trends and user preferences.

Knowledge Base Updates:
1) Perform daily updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.
2) Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts.

Demand Analysis:
1) Engage in call listening activities to identify emerging demand topics and customer preferences.
2) Provide insights and recommendations to the AI Project Manager for enhancing AI-generated responses in response to these demands.

Collaboration with Product Owners:
1) Establish effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.
2) Actively gather feedback and insights from product owners to improve the accuracy and relevance of AI interactions.

Product Knowledge & Call Handling Trained
1) To be trained in Banking Related product knowledge and undergo training to learn how a customer service officer handles a customer over a call.
2) Standby support to be activated on adhoc basis by Workforce Management team to service calls/emails or any other functions deemed to be necessary to maintain Customer Centre’s service levels.

These are the experience and skillsets that we are generally looking for:

• Meticulous and show great attention to detail. (Important)
• Possess an analytical mindset to identify key performance metrics and evaluate the success of Gen AI initiatives. Important)
• Basic understanding of prompt engineering, data pre-processing, and data ingestion techniques in the context of Generative AI systems. (Good to have but not essential)
• Proficient in MS Office (Word, Excel, Project and PowerPoint)

Interested candidates kindly submit your updated CV in a Word Format to: [email protected] shortlisted candidates will be notify. Thank you.

Job Descriptions

• Supervise electrical installation works at construction sites, ensuring adherence to project specifications and timelines.
• Coordinate daily site activities and monitor progress to ensure quality and safety standards are met.
• Provide guidance and technical support to electricians and other site personnel.
• Review electrical plans and drawings to ensure compliance with safety standards and local regulations.
• Liaise with clients, contractors, and project managers to ensure smooth operations and resolve any issues.
• Conduct site inspections and ensure proper documentation of work performed.
• Ensure all electrical systems and equipment are installed in line with best practices and regulatory guidelines.
• Manage subcontractors and suppliers and project procurement.
• Project meetings and reviews to ensure targets are met.
• Any ad-hoc duties assigned by department head.

Job Requirements

• Diploma or Degree in Electrical Engineering or a related field.
• At least 6 years of relevant experience in electrical site supervision.
• Strong knowledge of electrical systems, wiring, and construction safety standards.
• Ability to read and interpret electrical drawings and specifications.
• Excellent communication, leadership, and problem-solving skills.
• Experience with project coordination and site management is preferred.

The Routing Data Analyst will support the Global Carrier Network Operations function

through the analysis of data and trends about quality, cost, and client traffic behaviour of our

SMS and Voice Products. This key-role will help the Vonage API platform, to onboard

customers’ traffic, optimise Cost or Quality, and a fine balance between the two.

You will

● Own part of the Routing table for the Global Carrier Network team (Use/Create insights

from available data, Analyse data for decision making) with focus on Quality and Cost.

● Perform complex analysis: type of traffic, Cost VS Quality, Price.

● Resolve Quality Alerts to maintain QoS according to given industry standards.

● Manipulate and transform the routing table’s selections for optimising Cost or Quality for

new and existing customers for a set of regional countries.

● Identify solutions/improvements of our internal tools and work with key stakeholders

(Product/Engineering) to eliminate blockers of day-to-day tasks.

● Provide Data analysis for other function stakeholders (Product, Engineering, Sales etc) to

support cross-functional needs.

● Perform operational day-2-day tasks and work towards continuous maintenance of the

service levels specified for our SMS of Voice termination SLOs with internal and external

stakeholders.

Essential for the Role (Must Have)

● Educated to degree level.

● At least 2-3 Years of experience on Cost/Price or Voice and SMS routing or Tech

Support position.

● Proficient in MS Office/Google equivalent data analysis Tools.

● Exposure to Business Intelligence tools (e.g. PowerBI, Tableau etc) or similar.

● Strong analytical skills.

● Ability and willingness to work in a global, fast-paced environment.

● Flexible with the ability to adapt working style to meet objectives.

● Excellent communication and analytical skills.

Nice to have for the Role:

● Project Management experience

● Telecommunications industry exposure.

● API and Cloud communications Industry exposure.

● Confluence JIRA tool

● Zendesk ticketing system.

Note: The role requires working 1-2 weekends or bank holidays per calendar month.

Job Description:
We are seeking a skilled Data Engineer with expertise in AWS cloud computing and database administration to join our team. In this role, you will design, implement, and manage scalable data solutions while maintaining and optimizing databases to ensure high performance and reliability..

Job Responsibilities:

• Design, deploy, maintain, and optimize database systems (Oracle, MySQL, SQL Server), including installation, configuration, backup, and recovery.
• Monitor and optimize database performance to improve response time, stability, and reliability.
• Plan and expand database capacity to ensure scalability and meet business requirements.
• Deploy and manage cloud infrastructure on AWS, including servers, networks, storage, and other resources, to provide a stable and reliable environment.
• Create, configure, and maintain AWS services to align with business needs, selecting appropriate services based on requirements.
• Implement and manage monitoring tools to track the performance and operational status of databases and AWS environments, proactively identifying and resolving potential issues.
• Collaborate with cross-functional teams to deliver efficient, scalable, and reliable cloud and database solutions.

Job Requirements:

• Bachelor’s degree or higher in Computer Science, Information Systems, or related fields.
• Minimum of 3+ years of experience in database administration (with hands-on experience in Oracle, MySQL, or SQL Server).
• Strong experience with AWS services and managing cloud infrastructure.
• In-depth knowledge of database performance tuning, troubleshooting, and optimization techniques.
• Familiarity with cloud networking concepts and using monitoring tools for AWS environments.
• Strong communication and problem-solving skills to handle technical challenges effectively.

This role is 1-year contract role (till 31 Dec 2025).

Job Responsibilities:

• Perform administrative duties including data entry, filing, and retrieving of files.
• Letters preparation, checking on letters and documents.
• Scanning and indexing documents
• Sorting & dispatch of documents
• Creation of records and Input of security documents information in system
• Comply with the Company’s and/ or customer’s Workplace Safety and Health (WSH) requirement, guidelines, and relevant codes of practices.
• Other ad-hoc administrative duties as assigned by Superior.

Job Requirement:

• At least Diploma in any field.
• Minimum 1 year working experience in an office and or data entry working environment.
• Candidates without relevant experience may be considered based on merit.
• Basic computer knowledge and skill, preferable knowledge in Microsoft office (excel and/ or word)
• Must be able to communicate in English.
• Good attitude, willing to learn and able to follow instructions.
• Able to perform overtime work as and when required.
• Working Location: Jurong East or Changi Business Park. (This role will be deploying to Customer's premises)

Want to be a part of the fastest growing startup to help make a difference in our environment? Cedars Digital is looking for a Data Scientist (AI) to be part of our growth!

We are a passionate team that is excited about building carbon management solutions & the potential to disrupt with the latest AI technologies. We are looking for like-minded individuals to join our Engineering team - if you have the passion in creating an impact and/or are keen in the space of environmental sustainability, we want you!

Here is what you are expecting to be doing:

• AI solution development and strategy implementation for improving the process of laborious operations including but not limited to ESG consultant operation time.
• Conduct research and POC to stay up-to-date with the latest advancements in AI and integrate new techniques into projects.
• Design and optimize chatbot systems with LLM and prompt engineering for the efficiency of internal business processes.
• Develop and enhance recommendation systems to provide carbon factors.
• Collaborate effectively with AI/ML engineers, PM and others to deliver high-quality AI solutions.
• Ensuring reproducibility, scalability, and reliability of ML models.
• Experiencing a wide range of end-to-end ML development life cycle, including framing AI problems, data collection/preprocess/exploration, model development/evaluation.
• Learn state-of-the-art AI techniques and skills to efficiently conduct POC.

Skills that will help you in this role:

• MS in Math, Stats, CS or Engineering related fields.
• 2-5+ years of experience in AI development, with a proven track record of successful projects.
• Excellent problem-solving and analytical skills, with the ability to tackle complex challenges.
• Experienced in Deep Learning Framework (Pytorch or Tensorflow), Machine Learning and open-source platform e.g. ONNX, Hugging Face.
• Deep knowledge of ML/AI algorithms and their limitations and applications.
• Strong communication and teamwork skills with a collaborative approach to deliver.
• Programming skills in Python and experience with version control systems like Git.
• Solid experience in developing and fine-tuning models.
• Bonus, but not a must: Familiarity with Natural language processing (NLP) and Computer vision domain. Familiarity with docker/K8s and cloud service e.g. GCP, Azure and Amazon. Ability to build testing environment for POC

Why join Cedars Digital?

Come onboard this journey of transformation. Cedars Digital’s exclusively developed AI carbon emission calculation system involves the integration of AI algorithms and big data analysis. Through this, we aim to help enterprises complete greenhouse gas inventories and product carbon footprint calculations. We have big dreams as we want to be able to help them adapt to global carbon policies and enhance their sustainable competitiveness. Working with a vibrant and closely knitted team like ours provides you an environment to discover and develop your potential. With many learning opportunities, you get the chance to further your own personal and career development with us.

Job Description:

-Design and implement scalable data pipelines to collect, process, and store large volumes of structured and unstructured data.

-Ensure data quality, integrity, and consistency across various data sources.

-Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.

-Integrate data from multiple sources, including databases, APIs, and third-party data providers.

-Build and maintain big data infrastructure using technologies

-Optimize data storage and retrieval processes to improve performance and reduce costs.

Requirements:
-Bachelor's or Master's degree in computer science, software engineering, or a related field.
-Proven experience as a Big Data Engineer or similar role.
-Experience with big data technologies such as Hadoop, Spark, Kafka, Hive, HBase, etc

-Proficiency in programming languages such as Python, Java, or Scala.
-Strong knowledge of SQL and NoSQL databases.
-Knowledge of machine learning and data analytics.

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Responsibilities

• Plan and execute SIT and RT and support the business in the UAT testing.
• Demonstrate skills in facilitating and organizing test execution of test cases/ scripts in a proficient manner.
• Prepare and update the Test Summary Report at the end of a phase or at the completion of project.
• Responsible for coordinating activities related to testing initiatives.
• Support SIT Test Manager to organize the status meetings and send the Status Report (Daily/weekly)
• Track and prepare the report of testing activities such as test results, test case coverage, defects, status, performance baselines etc and follow through the defect resolutions
• Ensure all defects are resolved within the stipulated timeframe.
• Able to construct simple SQL for data queries.
• Support UAT Test Manager to ensure the availability of testing environment and test cases execution is completed as per the schedule
• Ensure the timely delivery of different testing milestones.

Skills Requirement

• Bachelors Degree in Engineering /Computer Science/Information Technology/Related fields
• 3-5 years of relevant working experience.
• Proven SIT, RT, UAT Testing experience with strong analytical and problem-solving skills.
• Working experience in performing ART using tool like Selenium.
• Exposure in Quicktest Pro (QTP) as well as technical skills in Java and Oracle PLSQL will be an added advantage.
• Possess good planning, communication, negotiation and presentation skills
• High level of integrity, take accountability of work and good attitude over teamwork.

Objectives of the Role:

• Act as the primary point of contact for all client concerns and needs related to Data & AI engagements.
• Manage large strategic accounts, exceeding $10M, with a focus on growth and client satisfaction.
• Foster and strengthen long-term partnerships with clients by maintaining effective relationships.
• Collaborate with sales and internal teams to develop strategic solutions, ensuring KPIs and business objectives are met.
• Navigate and thrive in the fast-evolving fields of business and technology.
• Deeply understand the company's products and services to identify upsell and cross-sell opportunities.

Key Responsibilities:

• Serve as the primary contact for inquiries and requests from clients, addressing their data and AI-related needs.
• Ensure that client services align with budgets, expectations, and timelines.
• Regularly engage with internal teams to discuss progress, challenges, and strategies for business improvement.
• Prepare and present progress reports to clients and senior leadership.
• Identify upsell, cross-sell, and renewal opportunities, collaborating closely with the sales team.
• Manage the delivery of solutions using industry-standard project management methods.
• Lead discussions on AI & ML use cases, implementation strategies, and business benefits to drive value for clients.
• Ensure all services delivered are of high quality and align with data governance practices, including data quality, data profiling, data cataloging, and metadata management strategies.

Requirements:

• Bachelor’s Degree in Computer Science or equivalent.
• Atleast 8 years of experience in Data & AI with extensive experience in Data Marts, Data Warehouses, Data Lakes and Data Bricks.
• Strong understanding of current trends in AI and Machine Learning (ML), with the ability to guide discussions on AI & ML use cases and advanced analytics implementations.
• Deep technical knowledge of cloud technologies and cloud data platforms (e.g., Microsoft Azure, Google Vertex AI, Amazon Web Services (AWS)).
• Expertise in Data Governance practices, including the development of solutions for Data Quality, Data Profiling, and Metadata Management.
• Ability to multitask effectively and manage several responsibilities simultaneously.
• Excellent communication skills, both written and verbal, with strong organizational and attention-to-detail abilities.
• Experience drafting Statements of Work (SOWs), Proposals, Master Services Agreements (MSAs), and Service Level Objectives (SLOs).
• Demonstrated success in managing client revenue, profit, and loss while ensuring high-value contract wins.
• Experience serving as a trusted advisor to clients, with the ability to build and maintain senior-level relationships.
• Orchestrates the activities between HCL and Clients at various levels – Executives to Technologists
• Finds opportunities to engage the clients in a structured way by building winning Proposals.
• Proactively creates initiatives to share thought leadership.
• Demonstrated leadership by engaging the organization to deliver industry differentiating solutions.
• Plan for resources with the right skills and knowledge for effective engagement on the accounts.
• Manage assigned human resources by leveraging the hire to retire process.
• Knowledge and experience in managing the entire hire-to-retire process for human resources within an account.

SSG is a dynamic and forward-thinking organization dedicated to empowering individuals and shaping the future of Singapore's workforce. As a statutory board under the Ministry of Education, SSG leads the charge in driving the SkillsFuture movement, a national initiative that promotes lifelong learning and skills development. With a strong focus on innovation and collaboration, SSG works closely with employers, training providers, and individuals to create a vibrant ecosystem of learning and growth. By offering a wide range of initiatives, programs, and funding schemes, SSG enables individuals to unlock their full potential, acquire new competencies, and stay ahead in a rapidly changing job market.

Join the Data Strategy & Analytics Division (DSAD) team to grow SSG into a data-mature organization where we use data pervasively and securely to deliver on our business missions:
• Develop and drive SSG’s data strategy, including LOIs, data competency, and maintaining strong links with CIO Office
• Develop, implement and maintain comprehensive data governance and management framework that complies with WOG requirements Implement Lines of Inquiries
• Support data management and exploitation
• Develop MLOps and instil best practices

What you will be working on

As a Data Engineer within DSAD, you will play a pivotal role in managing and optimizing data pipelines, ensuring the seamless flow and integrity of data across our organization. Your expertise in data pipeline management, automation, MLOps, data governance, and infrastructure architecture will contribute significantly to our mission of leveraging data to drive innovation and operational excellence. We are looking for a candidate who embodies our core values of integrity, collaboration, and continuous improvement, and who is passionate about harnessing the power of data to achieve our strategic objectives.

• Data Pipeline Management, Automation, and MLOps Proficiency
  - Manage and optimize multi-stage data pipelines for various use cases, from data acquisition to consumption
  - Automate data preparation and integration tasks using innovative tools and techniques
  - Apply MLOps principles to integrate machine learning models efficiently with data pipelines and infrastructure
• Data Governance, Cataloging, and Collaboration
  - Work closely with data governance teams to ensure data is accurately cataloged and available for governed reuse
  - Collaborate with AI engineers to optimize data solutions for machine learning projects, focusing on data flow and accessibility
• Infrastructure Architecture and Data Modeling
  - Design and manage scalable data infrastructure using cloud services like AWS
  - Develop efficient data models and pipelines for large-scale data sets, ensuring data quality and availability
• Data Quality Assurance, Documentation, and Continuous Improvement
  - Lead initiatives to establish standards for data accuracy and reliability
  - Maintain comprehensive documentation on data architectures and management practices
  - Stay updated on data engineering advancements, advocating for and implementing improvements
  - Facilitate knowledge sharing and technical training sessions to enhance organizational data competency

What we are looking for

• Tertiary qualifications in computer science, statistics, applied mathematics, data management, information systems, information science, or a related quantitative field
• A minimum of six years of experience in data management disciplines, including data integration, modeling, optimization, and data quality
• At least three years of experience in cross-functional team collaboration and supporting data management/analytics initiatives
• Demonstrated ability to work creatively and collaboratively with both business and IT teams
• Strong interpersonal skills with the ability to engage and earn the respect of stakeholders at all levels
• Confident, energetic self-starter with a commitment to ethics, regulatory compliance, customer service, and business integrity
• Highly adaptable and committed to excellence in a dynamic business environment

Responsibilities

Data Domain Management

• Interpret business workflows and data requirements.
• Conduct data exploration and create entity relationship diagrams.
• Develop data models and manage ETL processes.
• Create and service data pipelines.

Data Platform Operations

• Set up, install, and manage access controls.
• Monitor and maintain data pipelines to ensure quality data outputs.
• Validate data fusion processes for safe use.
• Data Platform Upgrade and Migration:
• Design, develop, and implement robust processes and automation.
• Conduct testing (unit testing, SIT, UAT) and implementation.
• Ensure secure and efficient data fusion, exploitation, and sharing.

Documentation and Administration

• Maintain data dictionaries and workflow processes.
• Report for Data Incident Concierge (DIC) and other documentation.
• Handle paperwork for data administration, including asset management and procurement of tools.

Collaboration and Continuous Improvement

• Collaborate with partners and cross-teams to benchmark best practices.
• Drive continuous improvement in data interpretability and searchability.
• Develop and maintain tools such as Microsoft Purview.

Requirements

• Minimum 4 years of hands-on experience in data engineering, systems implementation, or equivalent roles.
• Experience in data integration, analytics, system integration, and working on data pipelines.
• Knowledge of information management practices, including data lifecycle management, data modeling, and master data management.
• Experience in gathering requirements for data warehouses or similar systems.
• Familiarity with Change Management, Risk Management, and Incident Management.
• Experience supporting relevant Government Projects and understanding Government Data Governance Standards and Regulations (e.g., IM8, PSGA).
• Experience in public health or epidemiology is advantageous.

Technical Skillset

• Proficient in PySpark, SQL, and/or Python.
• Experience with large datasets.
• Proficiency in Microsoft Azure and Power BI is advantageous.
• Agile or other Project Management Methodology certification is a plus.

Job Description:

• Perform operation, installation, and monitoring of big data platforms
• Ensure the reliability and normal operation of multiple core systems for big data and online computing, resolving issues within the agreed SLA
• Evaluate infrastructure requirements for deployments and upgrade activities
• Develop and maintain technical documentations related to design, configuration, troubleshooting, backup, DR, etc
• Ensures deployment and operations of the data platform comply with prevailing security, regulations and audit requirements
• Provide recommendations on data governance practices and in-depth optimizations best practices

Requirements:
primary skillset: DevOps and system engineers in Unix
• Solid computer software basic knowledge; understand Linux operating system, storage, network IO and other related principles
• Familiar with one or more programming languages, such as Python/Go/Java/Shell/Ansible
• Experience with Cloudera, Informatica, or Denodo and its runtime components would be highly advantageous
• Relevant computing/distributed/big data system experience (Hadoop/HDFS /Kubernetes/Docker/OpenStack/Hadoop/Spark/Flink,etc.) would be advantageous
• Good data structure and system design skills highly preferred
• Good knowledge of information security highly preferred

Responsibilities

• Perform operation, installation, and monitoring of big data platforms

• Ensure the reliability and normal operation of multiple core systems for big data and online computing, resolving issues within the agreed SLA

• Evaluate infrastructure requirements for deployments and upgrade activities

• Develop and maintain technical documentations related to design, configuration, troubleshooting, backup, DR, etc

• Ensures deployment and operations of the data platform comply with prevailing regulations and audit requirements

• Provide recommendations on data governance practices and in-depth optimizations best practices

Requirements

• Degree / Diploma in Computer Science or related

• Minimally 4 years of experience in Data Engineering

• Solid computer software basic knowledge; understand Linux operating system, storage, network IO and other related principles Familiar with one or more programming languages, such as Python/Go/Java/Shell/Ansible

• Extensive experience with Cloudera Data Platform and its runtime components

• Relevant computing/distributed/big data system experience (Hadoop/HDFS/Nginx/Kubernetes/Docker/OpenStack/Hadoop/Spark/Flink,etc.)

• Good data structure and system design skills highly preferred

• Good knowledge of information security highly preferred

Licence no: 12C6060

YOUR ROLE:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other company experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.
• Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.
• Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.
• Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.
• Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.
• Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.
• Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.
• Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.
• Support the definition and optimization of underlying data infrastructure

WHO YOU ARE:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
• Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
• Experience with batch & ETL jobs to ingest and process data from multiple data sources
• Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
• Experience with querying tools (e.g Hive, Spark SQL, Impala)
• Experience with Power BI
• Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
• Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
• High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)
• You are passionate about technology and continuous learning comes naturally to you

YOUR ROLE:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other company experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.
• Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.
• Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.
• Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.
• Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.
• Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.
• Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.
• Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.
• Support the definition and optimization of underlying data infrastructure

WHO YOU ARE:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
• Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
• Experience with batch & ETL jobs to ingest and process data from multiple data sources
• Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
• Experience with querying tools (e.g Hive, Spark SQL, Impala)
• Experience with Power BI
• Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
• Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
• High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)
• You are passionate about technology and continuous learning comes naturally to you

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

• Work closely with business stakeholders, data engineers and platform team to implement and support data distribution solution.
• Design an optimal onboarding process with clear visibility of the various life cycle of a product.
• Contribute, influence, and validate the design of data distribution solutions to ensure they meet both business and operational needs.
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Lead the dataset registration conversation with business and metadata team to ensure that the dataset are properly registered.
• Document the business requirements clearly.
• Perform user acceptance testing on the data distribution channel and ensure that it meets the requirements.
• Identify opportunities for continuous improvement in assigned area of work.

• Bachelor's degree in computer science, Engineering, or a related field.
• Minimum 4 years of experience in as a platform engineer or software engineer.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Familiarity with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo will be advantageous.
• Strong analytical skill with passion in complex problem solving.
• Basic coding skill will be advantageous.
• Excellent written and verbal communication skills.
• Strong interpersonal skill to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Experience with the System Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.

Responsibilities

• Translate stakeholders’ requirements into data solutions that meet the desired performance, scalability.
• Lead teams in designing and developing data solutions configurations as per the proposed architecture.
• Recommend approaches for solving development and integration problems within data warehouse and business intelligence solutions.
• Provide strategy direction and design implementation roadmaps.
• Identify and adopt new technologies & methodologies to increase performance, automation, and scalability.
• Support the business development activities; shape and design solution architectures for a proposal.

Requirements

· 8 Years Experience in Data modelling, development and implementation.

· Experience in tools like Snowflake,Pyflink is must.

· Experience in Data Migration: Strategizing, planning, costing, execution, data retention/archival and disposal.

· Expert knowldge in Data Management: Strategy & Execution, Multi-domain. Tools: Informatica MDM, Stibo PIM, Talend Data fabric.

· Experience in Data Governance: Data/Information governance capability Assessment (as-is, to-be), Framework design, models, roadmap & Execution.

Interested candidate please click "APPLY" to begin your job search journey.

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

EVO Outsourcing

RCB No. 202233837K

Responsibilities:

· Design, develop, and maintain data warehouse solutions using Oracle Cloud platform with Oracle Analytics Cloud and ODI Marketplace.

· Collaborate with cross-functional teams to gather and analyze business requirements for analytical models and reporting solutions.

· Develop, implement and support data integration processes to extract, transform, and load (ETL) data from various sources into the data warehouse.

· Design and optimize data models to support business analytics and reporting requirements.

· Develop and deploy analytical models using Oracle Analytics Cloud (OAC) to provide insights and drive decision making.

· Perform data analysis and troubleshooting to identify root causes of issues and implement solutions.

· Develop and maintain documentation of data warehouse architecture, processes, and procedures.

· Stay up-to-date on industry trends and best practices in data warehousing, analytics, and cloud technologies.

Requirements:

· Bachelor's Degree in Computer Science / Information Systems, or related field.

· Minimum of 8 years of experience working with Oracle Analytics Cloud (OAC/OBIA/OBIEE) or similar cloud-based analytics platforms.

· Minimum 8 years of experience working with OBIEE/RPD modeling

· Minimum of 8 years of ETL experience ODI/Informatica - ODI Preferred

· Minimum of 4 years of experience building Analytics Visualization using tools like OAC, Power BI, OBIEE, Tableau

· Strong proficiency in Oracle (SQL/PLSQL) and experience with data modeling and database design principles.

· Experience with data integration tools and techniques

· Experience in designing end-to-end implementation involving Data Analysis, Data Cleansing and Data Modelling

· Experience in collaborating Design reviews with the business analysts and business users to create a proof of concept for the reports.

· Experience in handling Finance and SCM data and the related data pipelines.

· Knowledge in Oracle EBS COA, OU, MOAC , multi-currency configurations.

· Knowledge of data warehousing concepts and methodologies, including star schema, snowflake schema, and dimensional modeling.

· Experience developing and deploying analytical models using Oracle Analytics Cloud (OAC) or similar tools.

· Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

· Strong problem-solving skills and attention to detail.

· Oracle certifications in Analytics Cloud or related areas (preferred).

· Experience in Python to develop machine learning models and AI-driven solutions for predictive analytics and process optimization is a plus

Senior Data Engineer

Job Overview:

We are seeking an experienced and highly skilled Senior Data Engineer with full-stack expertise to join our dynamic Data Engineering team. You will play a crucial role in designing, building, and enhancing web-based data applications. This hands-on engineering role will focus on aggregating data from various sources, processing and transforming it, and ensuring it is delivered to internal and external stakeholders. Your work will directly impact the scalability and effectiveness of our data infrastructure and proprietary analytical tools.

Key Responsibilities:

• Translate business needs into robust, scalable web solutions by designing and developing APIs, front-end interfaces, and tools for real-time data ingestion and transformation.
• Leverage a mix of open-source and proprietary big data technologies to improve data reliability, performance, and overall quality.
• Collaborate with internal teams and stakeholders to ensure best practices in data governance and ensure the integrity of data systems during implementation.
• Act as a technical expert on emerging big data technologies, providing insights and recommendations for continuous improvement.
• Work on large-scale commercial software systems and databases, applying your deep knowledge of Business Intelligence, Analytics, and Big Data tools.
• Develop in production environments using Java, Scala, and Spark programming languages.
• Ensure proficiency in SQL, along with scripting expertise in languages such as Python, Shell, etc.
• Work with big data processing frameworks such as MapReduce, Spark, HBase, and NoSQL.
• Apply your expertise in data management technologies to process and analyze large volumes of data efficiently.
• Contribute to both back-end and web UI development, ensuring seamless integration and performance.
• Provide clear, analytical insights and problem-solving solutions to complex challenges.
• Actively participate in a collaborative team environment, efficiently managing multiple tasks and delivering on time.

Requirements:

• A minimum of 7 years of proven experience in software development, specifically in building large-scale commercial software systems and database platforms.
• Must pass technical proficiency assessments as part of the recruitment process.
• Expertise in Business Intelligence, Analytics, and Big Data processes; experience in web, video, mobile, or adtech domains is a strong advantage.
• Proficiency in Java, Scala, and Spark programming languages.
• Strong SQL skills are essential.
• Solid scripting knowledge in languages such as Python, Shell, or similar.
• Experience with big data processing frameworks like MapReduce, Spark, HBase, and NoSQL.
• Expert knowledge of data management technologies and the software engineering tools needed to handle large-scale data processing.
• Background in Web UI, middle-tier, and backend development.
• A strong analytical mindset with the ability to think critically and provide actionable solutions.
• A team player with the ability to handle multiple tasks simultaneously and meet deadlines.
• A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field is required.

Senior Data Engineer

In this role, you can expect to:

● Support the business’s goal of democratisation of data and data products.

● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting.

● Collaborate in partnership with diverse teams across such as product engineering, data science and business stakeholder teams to successfully deliver business outcomes.

● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads.

● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and ORGANIZATION publications to deliver innovative and game changing data products and use cases.

● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases.

● Implement cloud-based scalable and reliable data pipelines at significant scale.

● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes.

You should be able to:

● Build and maintain streaming and batch data pipelines

● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts.

● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs.

● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products.

● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg.

● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports.

● Adhere and have practised Agile Methodology such as Scrum.

● Implement adhering to Master Data Management Best Practices and Principles.

● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling.

It would be great if you had:

● At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles.

● Experience in data-related infrastructure deployments using Terraform Cloud.

● Experience in using Git for version and release management with knowledge in branching strategies.

● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight.

● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight.

● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts.

● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders.

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.

How will you make an impact in this role?

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

Responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions

Qualifications:

• PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. PhD degree with practical experiences NLP is a significant plus.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Ability to learn quickly and work independently with sophisticated, unstructured initiatives
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint
• Minimally 2 years and above of relevant experienceand 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.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.