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

• Assist in the development, construction, testing, and maintenance of SQL databases and data pipelines
• Participate in data modelling, database design, ETL, and reporting tasks under supervision
• Assist in the creation of database schemas, tables, views, functions, and stored procedures using SQL
• Support in loading data from various sources into databases and data warehouses using SQL and ETL tools
• Contribute to optimizing SQL queries and database performance
• Collaborate with software developers in integrating applications with databases
• Assist in documenting database schemas, ETL processes, and technical specifications

• Bachelor's Degree in Computer Science or any IT related field.
• Minimum 2 years of experience in data engineering with SQL and relational databases
• Proficiency with SQL (PostgreSQL, Microsoft SQL Server) including writing complex queries, joins, aggregations, etc
• Knowledge of database design principles, data modeling and warehousing principles
• Experience in developing schemas, tables, views, functions
• Experience with ETL processes and data pipelines
• Familiarity with database performance tuning and optimization
• Ability to communicate technical specifications to stakeholders

Responsibilities:

• Design and develop data ingestion solutions for big data.
  Build efficient and reliable data processing solutions.
• Design and implement data storage solutions.
• Develop scalable data pipelines for ingestion, transformation, and storage of large datasets.
• Optimize data pipelines for real-time and batch processing.
• Ensure data quality and integrity throughout the data pipeline by implementing effective data validation and monitoring strategies.

Requirements:

• Minimum 5-8 years of designing and implementing ETL solutions.
• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• Familiar with AWS data ingestion and processing tools like NiFi, Kinesis, and Glue.
• Strong expertise in big data technologies such as Apache Spark and Hadoop.
• Experience with AWS data storage solutions including S3, Iceberg, Aurora, and OpenSearch.
• Proficiency in programming languages including Python, Scala, and Java.
• Preferred certification and/or hands-on experience with AWS data services.
• Attention to detail and a strong commitment to delivering high-quality solutions.
• Strong problem-solving skills and the ability to work effectively in a fast-paced environment.
• Work well in a team.
• Excellent communication and interpersonal skills
  

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for Office of Integrated Information Technology Services (IITS).
• Data Governance Strategy
  • Develop and implement a comprehensive data governance strategy aligned with organizational objectives.
  • Define and enforce data governance policies and standards.
• Data Quality Management
  • Establish and oversee data quality frameworks to ensure accuracy and reliability of data across the organization.
  • Implement data profiling and cleansing processes to address data quality issues.
• Metadata Management
  • Develop metadata framework and maintenance model.
  • Support stakeholder in maintaining a metadata repository, documenting data definitions, lineage, and usage.
  • Facilitate the creation and maintenance of a business glossary.
• Data Security and Privacy
  • Implement and enforce data security and privacy policies to protect sensitive information.
  • Ensure compliance with relevant data protection regulations and standards.
• Collaboration and Communication
  • Collaborate with cross-functional teams to promote a culture of data governance and accountability.
  • Communicate data governance policies and guidelines to all stakeholders.
• Data Stewardship
  • Define the data stewardship structure and operating model.
  • Support the setup of data stewardship team.
  • Collaborate with data stewards in executing their roles.
• Data Classification and Lifecycle Management
  • Work with stakeholders to classify data based on sensitivity and business impact.
  • Define and implement data lifecycle management processes.
• Compliance and Auditing
  • Ensure compliance with data governance policies and perform regular audits.
  • Address and remediate issues identified during audits.
• Training and Awareness
  • Develop and deliver training programs on data governance best practices.
  • Raise awareness of the importance of data governance across the organization.
• Team Management
  • Take ownership and support team and while holding team accountable for their commitments, removing roadblocks to their work.
  • Leverage organizational resources to improve capacity for project work.
  • Mentor and develop team members.

• Degree / Diploma in Computer Science, IT or related discipline.
• Minimum 5 years of relevant experience in leading and delivering data governance/ data protection/ data management related work.
• Strong proficiency in the domain of data protection, data governance and PDPA obligations, principles and practices.
• Prior experience in implementing Data Governance Framework and Standards would be highly advantageous.
• Relevant certification in data management domain (e.g. DCAM, CDMP) is advantageous.
• Project management experience is a plus.
• Resourceful and able to work independently, demonstrating strong ownership, planning, organizational, and problem-solving skills to manage competing demands.
• Ability to manage and prioritise work within a small team, and function as a strong individual contributor as well as team leader. The team is small, and strong performers must demonstrate their capability as a subject matter expert.
• Excellent interpersonal, persuasive, and communication skills, with proficiency in both oral and written communication. Capable of collaborating effectively with individuals at various levels of the organization.
• Strength in clear and concise policy/technical writing. A significant portion of work requires the role to articulate thoughts, policies and strategies in written format.
• Self-driven and entrepreneur mindset, as the candidate will need to initiate the formulation of data governance practice within the University.

#LI-ST1

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

Reporting to: Head of Finance

Roles and Responsibilities

· Lead and implement new and advanced end-to-end solutions in order to support the Head of Finance on Data Analytics requirements.

· Able to leverage on advanced data analytics skills, finance and accounting fundamentals to provide both descriptive insights on business performance and perform predictive modelling for tactical and strategic purposes.

· Build and maintain financial models to support business decision making

· Stay abreast of the latest developments in Generative AI and large language models, assess the suitability of application within the function

· Execute the Data Analytics strategy within the finance function

· Take ownership to build/transform the decision-making process that is data-driven

Requirements

· More than 5 years relevant experience in the financial industry, preferably with knowledge in Futures and Options, OTC derivatives, securities and fixed income products.

· Master or equivalent in Data Science / Computing. Candidates with equivalent academic qualifications in other disciplines but able to showcase keen interest and aptitude in data analytics are welcome to apply.

· Good analytical skills with the ability to link financial numbers with business activities.

· Preferably with finance and accounting knowledge.

· Good understanding of latest technology.

· Good knowledge of programming languages including python, scripting and VBA etc. Understand database design and database structures languages such as SQL.

· Good written and verbal communication skills.

· Strong team player and good inter-personal skills.

Job Description

• Creating complex, enterprise-transforming applications on diverse, high energy teams
• Working with the latest tools and techniques
• Hands-on coding, usually in a pair programming environment
• Working in highly collaborative teams and building quality code
• The candidate must exhibit a good understanding of model implementation, data structures,
data manipulation, distributed processing, application development, and automation.
• The candidate must have a good understanding of consumer financial products, data systems and data environments, and processes that are necessary for the implementation of Risk and Finance models
Essential Skills & Prerequisites
• Development and implementation experience of applications for 4-6 years..
• Knowledge of micro-services architecture and cloud will be added advantage.
• Knowledge of Java and Scala will be added advantage
Desired
• Additional experience on developing service-based application
• Excellent analytical skills: Proficient in MS Office and able to produce board-level documentation
• Fluency in written and spoken English; Good communication and interpersonal skills
• Self-starter who sets and meets challenging personal targets, Detailed person, with a big picture outlook
• Understanding of current technologies employed by Tier 1 Investment Banking Institutions
• Must be a team player
Mandatory Skills
• Hand-on Development experience with PySpark, ScalaSpark and Distributed computing.
• Development and implementation experience of applications for 4-6 years.
• 4 to 6 years' experience designing and developing in Python.
• 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)
• 3 to 5 years' experience with Unix shell scripting
• 3 to 5 years' experience with SQL
• 2 to 3 years' experience with Spark programming

As an Entry Level to Mid Level Data Platform Engineer, you will be responsible for designing, implementing, and maintaining the Denodo Data Virtualization Platform. You will work closely with the project team to ensure seamless integration with other IT components. You must have master proficiency in Denodo Data Virtualization Platform and advanced proficiency in Data Architecture Principles, Database Architecture, and Platform Engineering.

• Design and implement the Denodo Data Virtualization Platform for the MAS Enterprise Data Lake
• Collaborate with the project team to ensure seamless integration with other IT components
• Develop data architecture principles and design database architecture
• Define technology architecture blueprint roadmap
• Engineer the platform to meet project requirements

Responsibilities

Rack, Build, cable, configure, and provision Intel and AMD Servers

Rack, cable, and deploy Cisco Layer 2 networking equipment

Troubleshoot, test, quality assurance of Server hardware

Professionally resolve hardware issues via trouble ticket

Desired Experience:

1 to 3 Years of experience

Experience in PC Hardware and Server Hardware (on Job training provided)

Operating System Installation - Windows Server, Linux, Unix

PC Assembly and HW troubleshooting

Understanding of basic hardware troubleshooting and applying logical methods of resolution

Basic Networking Knowledge

Rack, cable, and deploy Cisco Layer 2 networking equipment a plus

Experience with RAID levels is a plus

Responsibilities:

· Data Pipeline Development: Develop and maintain data pipelines that extract, transform, and load (ETL) data from various sources into a centralized data storage system, such as a data warehouse or data lake.

· Data Integration: Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers.

· Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis, reporting, or machine learning tasks.

· Contribute to common frameworks and best practices in code development, deployment, and automation/orchestration of data pipelines.

· Implement data governance in line with company standards.

· Partner with Data Analytics and Product leaders to design best practices and standards for developing and productionalising analytic pipelines.

· Partner with Infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new tools and techniques that leverage the cloud environment (Azure, Databricks, others).

· Monitoring and Support: Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring tools, alerts, and automated error handling mechanisms to ensure data integrity and system reliability.

Requirements:

· Proven experience as a Data Engineering role (3 years +), with a strong track record of delivering scalable data pipelines.

· Extensive experience designing data solutions including data modelling is required.

· Extensive hands-on experience developing data processing jobs (PySpark / SQL) that demonstrate a strong understanding of software engineering principles is needed.

· Experience orchestrating data pipelines using technology like ADF, Airflow etc is necessary.

· Experience working with both real-time and batch data is important.

· Experience building data pipelines on Azure is crucial. AWS data pipelines will be beneficial.

· Fluency in SQL (any flavour), with experience using Window functions and more advanced features is required.

Understanding of DevOps tools, Git workflow and building CI/CD pipelines is essential.

Nice to Have:

· Domain knowledge of commodities, covering Sales, Trading, Risk, Supply Chain, Customer Interaction, etc. is highly desirable.

· Familiarity with Scrum methodology and experience working in a Scrum team can be advantageous. This includes understanding of Scrum roles, events, artifacts, and rules, and the ability to apply them in a practical context.

· Experience with streaming data processing technologies such as Apache Kafka, Apache Flink, or AWS Kinesis can be beneficial. This includes the ability to design and implement real-time data processing pipelines.

POSITION GENERAL DUTIES AND TASKS :
Service Delivery
Batch scheduling and monitoring
ETL Development
SQL
Demonstrable analytical skills with deep knowledge of Big Data Ecosystem in a Production Support Environment.
Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka, Kudu, Flink, Ozone, Kafka and Streaming.
Strong SQL, Python, Java and Unix shell scripting
Incident, problem, and service Outage management experience is Plus.
Strong in data engineering concepts and programming
Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Experience in supporting data transformation, data structures, metadata, dependency and workload management.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Provide operational support and ensure SLI of Applications
Troubleshoot Batch Issues & root causes to Mitigate Impacts to SLA

POSITION OVERVIEW : Datawarehouse Support Engineer (EDW)

POSITION GENERAL DUTIES AND TASKS :
The support specialist will be a techno functional support team member for the Enterprise Datawarehouse (EDW) under IT BAU team.

He/she is responsible for ensuring system availability and timely deliverables for datamarts for various business unit like Finance, regulatory, Campaign.

The support specialist, as the analyst expert within the IT team, will be the support staff who needs to closely co-ordinate and work with various team like Tech Infra, application services, solutioning, project and business units in the bank. He/she follows up to resolve issues reported by users and performs impact analysis related projects/enhancements that will impact the EDW.



Roles/Responsibilities

- Responsible to provide BAU support for Enterprise Datawarehouse

- Responsible to provide operational support and ensure SLI of system availability, batch deliverables

- Respond on time to the queries raised by various business units

- Provide timely updates regarding production status and progress of issue resolution

- Fine tune applications and systems for high performance and higher volume throughput

- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to IT standards

- Perform impact analysis of enhancements/projects that will impact supported systems

- Identify the underlying problems, analyse the root causes, provide possible solutions/fixes, and respond to users within SLA

- Support relevant software/platform/database upgrade for the systems

- Work with delivery team for smooth transition from projects/enhancements to BAU Mode

- Incident, problem, and service outage management experience

- Participate in Disaster Recovery and Business Continuity exercises

- Able to support relevant software/platform/database upgrade for the systems

- Server Performance, capacity, utilization monitoring and Health monitoring

- Collaborate with diverse cross functional teams within IT and Business to Independently drive outcomes

- At least 3+ years of relevant experience in banking/financial services industry

- Experience with Teradata FSLDM and data mapping

- Hands-on technologist, strong in SQL, UNIX and Teradata tools and technologies

- Experience in designing high throughput fault tolerant data pipelines for Batch (ETL/ELT)

- Experience in GL Data reconciliation between systems, datamarts & report and Knowledge of the ledger balance reporting is an added advantage

- Experience in Performance Tuning on Teradata or other MPP data pipeline

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka is a plus

This position provides support to the General Services Office.

Main Responsibilities:

· Provides support for Travel & Visitors Unit.

· Responsible for arranging hotel bookings for visitors to post, supporting complex high-level visit (Congress, Cabinet Members, Secretary of State, President, Vice-President), and assisting Embassy personnel in acquiring diplomatic visas for official travel to third countries.

· Acts as the back-up liaison between the Embassy and the travel contractor.

Requirements:
All applicants must address each selection criterion detailed below with specific and comprehensive information supporting each item in their resume. Failure to do so may result in a determination that the applicant is not qualified.

· Minimum two years’ experience in administrative work is required.

· Successful completion of secondary school or high school education.

· Knowledge of basic Microsoft Office programs (i.e. Word, Excel, SharePoint, Outlook).

· Good working knowledge in English speaking, reading & writing.

Additional job details can be requested by emailing [email protected]

Emailed applications and resumes are no longer accepted.

To maintain an open and fair recruitment process, the U.S. Embassy only accepts applications that are completed in full and submitted via the Electronic Recruitment Application (ERA) website: https://erajobs.state.gov/dos-era/sgp/vacancysearch/searchVacancies.hms

To apply for the above position: Please complete the on-line ERA form and upload any supporting documents (including educational certificates and/or transcripts related to the position requirements state above) using this site https://erajobs.state.gov/dos-era/sgp/vacancysearch/searchVacancies.hms by April 2, 2024.

Only shortlisted candidates will be notified.

Thank you for your interest in U.S. Embassy Singapore.

We are seeking for a Big Data Engineer/Data Architect to join our dynamic data support team. This candidate will be responsible for various professional fields including big data, data warehousing, and data analytics, supporting the company's petabyte-level data services.

1. Maintain overseas data centers, including ensuring database stability and high availability, as well as stabilizing and optimizing the big data infrastructure;
2. Responsible for data-driven decision-making for overseas business, including the development and maintenance of real-time and offline metrics, closely collaborating with project teams for decision analysis;
3. Select and optimize the infrastructure of data centers, and communicate with third-party vendors;
4. Implement data security and privacy measures to protect sensitive information and ensure compliance with regulatory requirements;
5. Stay up-to-date with emerging trends and technologies in big data, machine learning, and data engineering, and evaluate their potential impact on our business and technical architecture.

Job Requirements:

1. Bachelor's degree in Computer Science, or related field;
2. Strong command of the Linux operating system, with expertise in at least one scripting language such as Shell or Python;
3. Advanced proficiency in SQL language, coupled with extensive experience in performance tuning;
4. Expertise in mainstream databases including Oracle, MySQL, Redis, and MongoDB;
5. Deep familiarity with cloud platforms such as Alibaba Cloud, GCP, and AWS, along with robust troubleshooting skills;
6. Comprehensive understanding of mainstream big data technologies like Hadoop, Doirs, Starrocks, and Kafka;
7. Proficient in cloud-based big data solutions on platforms such as Alibaba Cloud, GCP, and AWS, with a proven track record in tuning and troubleshooting;
8. Proven experience in designing, implementing, and managing big data solutions, including data pipelines, storage systems, and processing frameworks;
9. Proficiency in both English and Chinese, to facilitate effective communication with Chinese-speaking counterparts.

The IT Operator is responsible for:

Provide single point of contact for incident, service request and escalation.

• Monitor, manage and maintain data centre operation and facilities.

• Manage equipment movement

• Daily monitoring of status

• Ensure proper running of the existing data centre systems.

• Perform tape mount and un-mount for the backup operation.

• Handle the portable media storage for off-site storage.

• Liaise with the vendor on maintenance and enhancement issues.

• Troubleshoot and report system incidents/problem and abnormalities.

• Resolve incidents related to routine problems or known issues.

• Adhere to service level agreement for response time and turnaround time.

• Able to work shift including weekends and public holidays.

• Possess Diploma in Computer Science/Electronics/IT or equivalent

• Minimum 1 year of relevant working experience in IT infrastructure operation

• 12 hrs shift working

Please submit resumes to [email protected] with the following

details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Suntory Beverage & Food International (SBFI) is step changing its SAP system landscape across the globe and moving to a single instance strategy with a fit-to-standard approach to the functional design. As we transform to a more integrated One Suntory organisation, we would like to step change our technology platforms to be more integrated and consistently executed across all our markets. The SBFI S/4HANA Master Data Manager role is critical in helping to drive the standardisation of all key master data objects, in conjunction with our appointed System Integrator across all markets in Asia Pacific and Europe. The individual will also work across workstreams to continue to evolve the company’s best practices to ensure that the way master data is governed supports our dynamic business operating model. The role is both technically and business process oriented and requires strong hands-on skills and a deep understanding of what it takes to deliver complex MDG transformation programmes using Central Finance as a stepping stone to full S/4HANA adoption.

Responsibilities

• Experience of implementing MDG solutions, ideally utilising either Syniti or SAP MDG technology.
• Work with the Global MDG lead as well as nominated representatives from each BU, to define the to-be strategy.
• Work as an integrated team member within the overall project team structure.
• Work with each BU to ensure that the MDG strategy is realised and that all BAU activities are embedded in each BU as per overall deployment timeline.
• Act as a point of contact between the IT organisation and the outsource provider to ensure SLAs are met.
• Focus on ensuring that all key master data objects are moved to a centralised delivery model without losing BU agility
• Contribute both internally & externally for all deliverables and day-to-day delivery for the MDG workstream.
• Work with stakeholders of the BUs to identify and opportunities for process improvement in the overall MDG workspace.
• Work with external vendors to drive standardisation of key data objects that can be implemented in accordance with the to-be MDG strategy.
• Align with existing team members to ensure that all deliverables are produced in accordance with quality standards.
• Act as a point of contact to ensure the continuous improvement of the MDG solution to meet evolving business requirements.
• Work as an integrated team member to highlight areas where there are variances or compliance deviations.
• Provide guidance on product functionality and on product selection for key capabilities and functionality to help realise the end-state system capabilities.
• Work with the MDG lead to develop the SBFI BAU operating model across the BUs.

Experiences
• 5 to 10 years of experience in an MDG role either in project delivery or as part of a team delivery BAU operations.
• The candidate will need to bring a detailed knowledge of MDG in the context of an SAP S/4HANA system landscape.
• The preferred candidate to have experience in Syniti SKF tools for data migration, analytic and cleansing process.
• Knowledge and experience of delivering SAP Transformation via Central Finance as a Steppingstone to full S/4HANA adoption is an advantage.
• Be able to demonstrate an understanding of various MDG strategies in order to support organisational change of moving to a centralised operating model.
• Experience of implementing complex MDG transformations along with a real comprehension of the common problems encountered when working across multiple time zones.
• Business Process Knowledge: Understanding business processes and workflows in relation to the overall MDG strategy across various domains, is required.

As this is a contract position, it will be managed by our 3rd party contractor vendor.

Big Data Exchange (BDX) is a leading Pan Asian hybrid, hyperscale and edge solutions provider with assets located in Hong Kong, Singapore, Guangzhou, Nanjing, Indonesia and expanding footprints in SEA regions.

Our hybrid ecosystem provides colocation, Enterprise Services, private cloud services, disaster recovery services, and interconnect solutions across cloud service providers, telcos, internet exchanges and major data centers.

We power digital transformations and sustainability as part of our core values to provide mission-critical infrastructure for Enterprise IT workloads. To find out more, please visit www.BDxworld.com

Duties

• Oversee all aspects of the data center's critical physical infrastructure. Maintain high availability and performance while ensuring that all work performed within the site is done to high quality without impact to internal/external customers and maintain service level agreements.
• Work Closely with the leadership team to ensure all out operations are standardized across site.
• Work closely with the leadership team to ensure PUE optimization programs are planned and executed to improve efficiency.
• Manage teams of 24x7 engineers and technicians.
• Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc.
• Engage in improvement projects, often requiring reaching out to a variety of internal and external support teams, and drive them from conception to completion.
• Act as an escalation point for Data Center facilities related issues / failures including responding to out-of-hours emergency calls.
• Overall site capacity management.
• Participates as part of the new facility/infrastructure design team.
• Incident Management including but not limited to communicating and coordinating activities and on-site staff during a complex customer-impacting incidents, drive root cause analysis and provide a clear direction and, drives approval for incident resolution.
• Ensure all safety procedures are adhered to while performing work.

Requirement

• Bachelor’s degree or above in Engineering or related field.
• 10+ years in directly managing a data center or multiple data centers.
• Engineering background with focus on MEP systems.
• Managing full life cycle of Data Centre assets and have experience working with Engineering teams to replace/ refurbish Old Data Centre Assets within a ‘Live’ Data Centre environment.
• Executive mentality and EQ with ability to collaborate with various types of people- DC techs to C-level customers and everyone in between.
• Big-picture thinker with a growth mindset that truly believes in “innovate or become obsolete”.
• Tireless energy and positivity to recruit, motivate and create a high-performing teams.
• Fluent in English and Mandarin as you need to deal with Mandarin speaking personnel
• Exposure to Automation / IOT deployment or Smart Data Centre integration experience a plus.

Some Information on BDx Data Centers:

Big Data Exchange (BDx) is a leading Pan Asian hybrid, hyperscale and edge solutions provider with assets located in Hong Kong, Singapore, Guangzhou, Nanjing, Indonesia and expanding footprints in SEA regions.

Our hybrid ecosystem provides colocation, Enterprise Services, private cloud services, disaster recovery services, and interconnect solutions across cloud service providers, telcos, internet exchanges and major data centers.

We power digital transformations and sustainability as part of our core values to provide mission- critical infrastructure for Enterprise IT workloads. To find out more, please visit www.BDxworld.com

Why does this Role exist:

The Mechanical Engineering Lead plays a critical role for the design and construction of our both greenfield and brownfield data centers in APAC region. His/her responsibilities include designing new data centers, remodeling, and deploying the existing ones, with expertise in mechanical engineering.

What do we basically expect from you:

To have a Passion for design and construction in datacenter space.

What would you expected to do:

· Develop new greenfield and brownfield data centers.

· Assist in datacenter remodeling work and deploying additional services into existing data halls.

· Lead and work as a part of a team to create concept design schemes.

· Produce prospectus for potential designs.

· Manage the lead design consultant to produce and ensure the completeness of relevant designs and documentations.

· Follow relevant procedures and obtain necessary approvals.

· Create relevant procedures when necessary.

· Keep documentation up to date.

· Resolve design and site issues.

· Cross-check other discipline designs including mechanical design.

Educational Qualifications and Experience needed for this Job:

· Bachelor’s degree in Mechanical Engineering or related field.

A. What Really Catches our eye:

· Minimum of 10 years of experience in engineering consultancy or data center operation.

· Chartered or is a Licensed Professional Engineer.

· Solid experience in:

1. Greenfield design

2. Live data center modification

3. Maintenance Operation

4. Testing and Commissioning

5. MEP work phasing and logistics.

6. Be knowledgeable in electrical, telecommunication, structural, architectural, quantity survey, cost estimation, project management, construction management and facilities management.

· Self-motivated. Adaptable. Good communication skills.

· Experienced in leading multi discipline teams to deliver projects

· Be disciplined manager assigning and reviewing tasks

· Presentable and confident in client facing

· Able to travel occasionally (around 20% of time)

· Experience with data center operation or banking operation is an advantage.

· Experiences working in different countries / global exposure is an advantage.

As a Cloud Platform Engineer, you will be responsible for designing and implementing cloud platform architectures. You will work closely with the project team to analyze client needs, develop technical designs, and provide expert guidance throughout the implementation lifecycle. Your primary skill proficiency in Cloud Platform Architecture will be essential to the success of this project.

• Design and implement cloud platform architectures for the Migration project.
• Collaborate with the project team to analyze client needs and develop technical designs.
• Provide expert technical guidance and support throughout the implementation lifecycle.
• Conduct rigorous system testing and troubleshooting to optimize the performance of cloud platform architectures.

This is a temporary position attached to a non-profit, non-government organization.

Location: Buona Vista

Duration: Immediate until July 2024

Job Scope

-Perform a comprehensive audit of the CRM to identify and remove specific data
-Clean up the ‘Company Master’ tab
-Update data in both the old and new CRM systems, ensuring all information is current and accurate.
-Ensure that the data declared in the the Portal are accurately reflected in the CRM.
-Collaborate with the team to assist in the implementation of a prepayment protection system for the scheme

Requirements

-Diploma or Bachelor’s Degree in Information Technology, Business Administration, or a related field.
-Prior experience with data auditing and cleanup is highly desirable.
-Proficient in Microsoft Office Suite, especially MS Excel

Working Hours

Monday to Thursday 8.45am to 6.15pm

Friday 8.45am to 5.45pm, 5 day week

Hourly Pay $12.00 - $14.00

To Apply

WhatsApp resume: 8023-1992, or

Email resume: [email protected]

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WE ARE HIRING !! Apply now and make a difference

Role: Data Engineer

Job Title: Senior Data Engineer

Job Requisition Number: JR30694

Job Level: More than 10 years of relevant experience (L4)

Location: Singapore

Key Skills: AS400, Hadoop, Data Lake, SQL, Informatica

Job Objectives:

Work in Data Lake integration.

Key Responsibilities:

Design, develop, and implement data processing pipelines to process large volumes of structured and unstructured data

Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, Kudu).

Should have good knowledge and working experience in scripting using (Shell script, awk programming, quick automation to integrating any third party tools), BMC monitoring tools
Good understanding and knowledge in Data Modelling area using industry standard data model like (FSLDM)

Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions
It will be good to have experience in working with No SQL as well as virtualized Database Environment

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

Prior experience in developing banking application using ETL, Hadoop is mandatory. In depth knowledge of technology stack at global banks is mandatory.

Flexibility to stretch and take challenges

Communication & Interpersonal skills

Attitude to learn and execute

Key Requirements:

· 7+ years of AS400, RPG, CLP & SQL

· Knowledge of Aldon Change Management System(ACMS) is a must·

· Experience in developing Hadoop

· Experience in data lake (integration of different data sources into the data lake)

· SQL Stored Procedures/Queries/Functions

· Unix Scripting

· Experience with distributed computing, parallel processing, and working with large datasets

· Familiarity with big data technologies such as Hadoop, Hive, and HDFS

· Job Scheduling in Control-M

· Strong problem-solving and analytical skills with the ability to debug and resolve complex issues

· Familiarity with version control systems (e.g., Git) and collaborative development workflows

Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

Please forward your resume in MS word format to [email protected] and

[email protected]

Please refer your friends for any IT openings as we have various positions.

Please do not send PDF Format Resume . Send the following details

1. Notice period

2. Current Salary

3. Expected Salary

4. Visa Status in Singapore

5. Current Location

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

• Assist in the development, construction, testing, and maintenance of SQL databases and data pipelines
• Participate in data modelling, database design, ETL, and reporting tasks under supervision
• Assist in the creation of database schemas, tables, views, functions, and stored procedures using SQL
• Support in loading data from various sources into databases and data warehouses using SQL and ETL tools
• Contribute to optimizing SQL queries and database performance
• Collaborate with software developers in integrating applications with databases
• Assist in documenting database schemas, ETL processes, and technical specifications

• Bachelor's Degree in Computer Science or any IT related field.
• Minimum 2 years of experience in data engineering with SQL and relational databases
• Proficiency with SQL (PostgreSQL, Microsoft SQL Server) including writing complex queries, joins, aggregations, etc
• Knowledge of database design principles, data modeling and warehousing principles
• Experience in developing schemas, tables, views, functions
• Experience with ETL processes and data pipelines
• Familiarity with database performance tuning and optimization
• Ability to communicate technical specifications to stakeholders

The Data and Analytics team is looking for Data Governance analysts with 3 to 5 years’ experience working in the field of Data Governance. They will be part of a team responsible for developing and implementing policies and procedures to ensure the accuracy, security, and integrity of Income’s data. They will work closely with stakeholders across the organization, including IT, legal, compliance, and business teams, to help establish data standards and controls.

Key Responsibilities:

• Work with data stewards to ensure capture key business terms and definitions
• Work with data stewards to define and implement data quality rules
• Work with technical stewards to capture the logical data model as well as physical metadata
• Work with data scientists to ensure statistical models built meet ethical AI and FEAT standards
• Support business data partners and functional analysts in performing data analysis and root cause analysis
• Monitor and report on data governance artefacts and data quality issues

Requirements:

• 3 to 5 years’ experience in data governance or data quality related roles
• A bachelor’s degree in computer science, information technology or equivalent field
• Proficient in SQL and in performing data analysis
• Good communication skills, both written and verbal
• Critical thinking and strong problem-solving ability
• Experience with data analysis or data governance tools such as Informatica IDMC, Collibra desired
• Experience with Data Warehouses such as Redshift/ BigQuery/ Snowflake/ Hive / S3 desired

Income Insurance is undergoing a strategic transformation across its business and technology landscape. As part of this ambitions journey, Income Insurance is looking at building its data capability across the organisation. This includes focus areas such as changing organisation culture around data, increasing the usage of data in decision making and enabling advanced concepts like ecosystem partnering, AI and ML based risk management and personalisation.

Over the years, Income Insurance has built a strong Data and Analytics team. We are now looking for passionate professionals who would like to be part of the team. They will work with experienced data scientists, data engineers, Business Intelligence experts as well as data stewards from business units across the company on data governance processes which will deliver value to Income Insurance's business.

Role:Insurance regulatory reporting & data SME

JD:

Responsibilities:
• Collaborate with cross-functional teams to gather and analyze business requirements related to data and reporting projects in the insurance sector.
• Leverage business consulting expertise to bridge the gap between business needs and technological solutions.
• Provide insights and recommendations to enhance reporting processes and contribute to the overall efficiency of insurance operations.

Requirements:
• At least 8 years experience in either Consulting for Insurance clients or in the Insurance industry working on data / reporting projects. Candidate outside of Insurance & data fields will not be considered.
• Practical experience with regulatory reporting (e.g. IFRS17)
• Deep understanding of various reports produced by insurance companies, including but not limited to Regulatory, Finance, Actuarial, Distribution, Underwriting, and Claims reports
• Excellent analytical and problem-solving skills
• Effective communication and stakeholder management
• Familiarity with regulatory requirements in the insurance sector
• Adaptability to a dynamic work environment

The IT Operator is responsible for:

Provide single point of contact for incident, service request and escalation.

• Monitor, manage and maintain data centre operation and facilities.

• Manage equipment movement

• Daily monitoring of status

• Ensure proper running of the existing data centre systems.

• Perform tape mount and un-mount for the backup operation.

• Handle the portable media storage for off-site storage.

• Liaise with the vendor on maintenance and enhancement issues.

• Troubleshoot and report system incidents/problem and abnormalities.

• Resolve incidents related to routine problems or known issues.

• Adhere to service level agreement for response time and turnaround time.

• Able to work shift including weekends and public holidays.

• Possess Diploma in Computer Science/Electronics/IT or equivalent

• Minimum 1 year of relevant working experience in IT infrastructure operation

• 12 hrs shift working

Please submit resumes to [email protected] with the following

details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

The IT Operator is responsible for:

Provide single point of contact for incident, service request and escalation.

• Monitor, manage and maintain data centre operation and facilities.

• Manage equipment movement

• Daily monitoring of status

• Ensure proper running of the existing data centre systems.

• Perform tape mount and un-mount for the backup operation.

• Handle the portable media storage for off-site storage.

• Liaise with the vendor on maintenance and enhancement issues.

• Troubleshoot and report system incidents/problem and abnormalities.

• Resolve incidents related to routine problems or known issues.

• Adhere to service level agreement for response time and turnaround time.

• Able to work shift including weekends and public holidays.

• Possess Diploma in Computer Science/Electronics/IT or equivalent

• Minimum 1 year of relevant working experience in IT infrastructure operation

• 12 hrs shift working

Please submit resumes to [email protected] with the following

details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

About the job

• Take lead and manage the cabling and rack design for our investment bank client's data center portfolio in Hong Kong. Work closely with global infrastructure cabling engineering team on the detailed design.
• Coordinate with Technology teams (e.g. Telco, Unix teams, etc) on cabling requirements.
• Prepare technical tender drawings and specification, work along with our client's procurement team to issue RFP. Conduct tender interview, issue tender queries and provide recommendation report on selecting cabling vendors.
• Project manage the cabling vendor, review shop drawings, procurement, delivery logistics, schedule installation works and program, and witness commissioning testing and handover
• Project close out of cabling O&M manuals and as-built drawings

Products familiarization

• Ideally Panduit product sets
• Rack/cabinets, patching frames
• Industry best practices, including familiarization with ISO based testing regimes
• Experience in Cisco and Arista equipment is a plus
• Experience with cassette and LC Hydra based MPO/MTP structural cabling technology is a plus

Skills Required

• Language:
  • English (fluent English speaking and writing)
  • Cantonese/Mandarin is a plus
• Good communication skills, take responsible and being proactive person

Skills Desired

• Data center related work experience, financial company background is a plus
• Good understanding of existing live data center environment and constraints
• Relevant international cabling certifications (e.g. RCDD)
• Project Management is a plus (such as PMP)
• Able to deliver and work under pressure

Perks and Benefits

• Permanent Offer
• No shift
• Competitive salary and medical/dental benefits
• 20 days annual leave per year