• Extensive knowledge garnered working as a Data Centre Operator.

• Thorough knowledge of Data Centre Operations with strong knowledge of Operations methodology.

• Experience in eyeball checking of system faults and failures

• Good technical knowledge on Data Centre monitoring tools.

• Possess an in-depth knowledge of data centre infrastructure technology and components for installation.

• Strong written and excellent communication skills.

• People who are ready to do individual contribution and can able to join within 30 day would be preferable

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire a Azure DataEngineer. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

JOB TYPE:

ITEM SKILLSETS

Business Understanding

· At least (3) years of relevant experience in:

· Business Requirement Analysis

· Business Process and System Understanding

· Effective Communication with both business and technical users

Azure Data Engineering

· At least (2) years of hands-on experience as Azure Data Engineer using:

· Azure Data Factory

· Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;

Data Ingestion & Modelling

· At least (3) years of hands-on experience in

· Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing

· Implementing Data Quality validation

· Good to have following skills

· Knowledge of Azure Databricks

· Data modelling in Azure Analysis Services using star and snowflake schema.

· Knowledge of writing DAX query to create measures & dimensions.

· Python Coding Experience

To submit your application, please apply online or share the updated cv to [email protected]. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Khalid Farooq

Avensys Consulting Pte Ltd

EA Licence 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' personal information and privacy policy.

Job Summary:

An exciting opportunity for Data Engineer to be a part of a project for strategic initiatives in architecting, designing and building next-generation cloud-based data platforms.

Mandatory Skill-set:

• Degree in Data Engineering, Computer Science, Information Technology;
• At least 5 years of experience in data engineering and modelling;
• Strong hands-on exposure in data science, data analytics and / or data engineering;
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage;
• Have experience with Big Data platforms such as Hadoop, Spark, and NoSQL databases;
• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;
• Good understanding in using cloud technologies such as AWS, Azure, and Google Cloud;
• Experience with orchestration frameworks such as Azure Data Factory, Airflow;
• Proficiency in programming languages such as Python, R, Java, or Scala;
• Familiarity with building and using CI/CD pipelines;
• Familiarity with DevOps tools such as Git, Terraform, Git;
• Strong hands-on exposure with ETL Extract, Transform, Load tools;
• Possess strong written and verbal communication abilities, effectively conveying information to various stakeholders.

Desired Skill-set:

• Experience in designing, building, and maintaining batch and real-time data pipelines;
• Experience with Databricks or Snowflake.

Responsibilities:

• Work closely with the various team in architecting, designing and building ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Involved in architecting and scaling data analytics infrastructure on cloud environment; development of systems, architectures, and platforms that can scale large volume and variety;
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Improve and optimize the workloads, processes to ensure that performance levels can support continuous accurate, reliable, and timely delivery of data products; ensure maximum database uptime;
• Monitoring of databases and ETL systems for database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence;
• Construct, test, and update useful and reusable data models based on business data needs;
• Engagement and collaboration with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools;
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures;
• Assist to maintain master data catalogue to document data assets, metadata and lineage;
• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data;
• Involved in managing production services that provide analytics capabilities to our various data users across the division.

About Bytedance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the Team

Nuverse is a gaming business unit in ByteDance. The Game Technology team is playing a significant role in the whole life cycle of the game. We are responsible for the development, testing, operation, SRE, and quality assurance of the user and operating system, and give strong support for game developing and publishing. Providing comprehensive and systematical solutions, support the good operation and commercialization of the game. Responsible for the design and implementation of the deployment architecture of the game's overseas game business, and ensuring the good operation of online services.

Job Description:

1. Participate in the construction and operation and maintenance of offline and real-time data warehouses for game business;

2. Participate in the optimization of the data ETL process and solve ETL-related technical problems;

3. Participate in data governance work under complex data link dependencies and multi-data content ecology;

4. Relying on ByteDance's big data solutions, quickly implement data solutions in the business.

Qualifications

Minimum Qualifications：

1. Bachelor's degree or above in computer-related majors, with more than 4 years of big data-related work experience;

2. Master most of the big data-related technologies such as Hive, Yarn, Spark, Flink, Kafka, HBase, understand their principles and be able to complete performance tuning;

3. Proficient in using HQL, and master at least one of Python, Java, Scala, and GO;

4. Familiar with the Linux operating system and proficient in Shell programming;

5. Be proactive at work and be able to independently analyze and solve problems;

6. Be responsible, have good communication skills and teamwork ability;

Preferred Qualifications:

1. Experience in the gaming industry or managing platform-type internet products will be an advantage.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Balyasny Asset Management (BAM) is a global, multi-strategy investment Firm with over $21 billion in assets under management. We are a diversified business, with global breadth and depth. Our Firm has a clear mission: To consistently deliver uncorrelated returns in all market environments. Today, BAM employs more than 160 portfolio managers and 1,200 investment professionals across 19 offices in the U.S., Europe, the Middle East, and Asia. We are active across six investing strategies: Equities Long/Short, Equities Arbitrage, Macro, Commodities, Systematic, and Growth Equity. We also have a dedicated private investment team, BAM Elevate, and a standalone equities unit, Corbets Capital.

As a Data Scientist on our Applied AI Team at BAM, you will:

• Work collaboratively with senior AI engineers and quantitative researchers to research and build AI systems
• Devise and develop AI solutions that leverage cloud-based data and distributed computing technologies
• Assist with managing the AI software development cycle including setting up and maintaining CI/CD pipelines
• Provide support for the system and be proactive in resolving issues in a timely manner
• Work as part of a globally distributed yet close-knit team. Be an active participant in feature brainstorming, technical design sessions, code reviews, and general interaction
• Create software that is well-commented, well-understood, well-tested, and well-documented: Quality above all!

To be considered a good cultural fit, you must be:

• An ambitious self-starter
• Driven, self-motivated, and creative
• Hungry to learn
• Driven towards success
• A very strong and efficient communicator
• Able to multi-task and excel in a fast-paced trading environment
• A problem solver; able to develop quick and sound solutions to complex problems
• Humble, self-aware, and willing to risk pushing back to make the team and others better

To be considered a good technical fit, you must have:

• Postgraduate degree in a quantitative discipline such as Computer Science, Data Science, Statistics or Mathematics
• 3+ years of professional experience developing high quality Data solutions and products as an individual contributor
• A passion for data and AI, and experience harnessing that passion to educate others
• Strong knowledge of AI engineering best practices, object-oriented concepts, and the ins and outs of data-focused development
• Expert in Python (including its data wrangling and machine learning libraries)
• Solid understanding and demonstrable experience applying natural language processing, large language models and machine learning to solve real business problems
• Familiarity with a wide variety of LLM architectures, including the GPT, Llama, Mixtral and Claude models
• Experience customizing LLMs for specific applications using fine-tuning techniques, (e.g. PEFT), RAG and prompt engineering is big plus
• Experience evaluating and benchmarking LLMs using frameworks such as Arthur Bench is big plus
• Experience with the entire AI software development cycle from design to deployment e.g. using frameworks such as LangChain is a big plus
• Experience with basic DevOps techniques, including CI/CD and infrastructure-as-code
• Experience working in at least one cloud environment. Familiarity with AWS is a big plus

Bonus points for:

• Research publications in leading journals and presentations at internationally renowned conferences
• Teaching experience and the development of training material for AI use-cases
• Experience developing models for named-entity recognition
• Financial industry experience, though this is not required for the role

Don’t have all the skills listed above? Have extra skills you think are important that we haven’t thought of? Please, let us know by applying and telling us a bit more about yourself and why you think you’re qualified!

KPMG in Singapore is part of a global organization of independent professional services firms providing Audit, Tax and Advisory services. We operate in 143 countries and territories with more than 273,000 partners and employees working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. KPMG International Limited is a private English company limited by guarantee. KPMG International Limited and its related entities do not provide services to clients.

Job Description

At KPMG, your long-term future is every bit as important to us as it is to you. That’s why our aim is to give you experiences that will stay with you for a lifetime. Whether it’s great training and development, working across functional sectors, mobility opportunities or corporate responsibility volunteering activities – you’ll gain a wealth of experiences on which to build a rewarding career. We’re proud of our culture – it’s one that recognises hard work, encourages new ways of thinking and embraces diversity and inclusion. We have an innovative spirit which inspires what we do and how we do it – striving to be better lies at the heart of who we are.

KPMG Cybersecurity professionals assist clients to address their concerns around Confidentiality, Integrity, Availability and Privacy of their technology, business systems, and information assets. Using a holistic view of how Technology and Business integrate, the Cyber team performs technology-risk focused assessments, technology compliance, IT/operational process reviews, and design of information risk & cyber security solutions.

Cyber team members regularly interact with C-Suite clients, such as Chief Executive Officer (CEO), Chief Information Security Officer (CISO), Chief Information Officer (CIO), Chief Operating Officer (COO), Chief Risk Officer (CRO) and their direct reports. Hence, a client centric mind-set, understanding of IT within a Business context, and well-developed communication skills are desirable.

The role involves:

• Engage with client stakeholders on Data protection Projects.
• Providing in-depth expertise of Data protection.
• Conducting discovery workshops for customers to understand their data protection measures and recommend improvements to their security posture.
• Work with customers to plot their cloud journey and advising them on their overall data protection requirements based on their data landscape.
• Working with KPMG Project and Customer resources to continue design and deployment activities and further enhance Data protection solutions for our customers.
• Working with customers and leading data protection vendors to design and build creative solutions.
• Working with team members, you will design and/or build solutions within large transformations, and you will perform reviews, assessments and build strategies for organizations looking to invest in Data protection.
• Assisting the engagement manager with the planning and delivery phases of engagements.

⠀

The ideal candidate should possess:

• Bachelor’s degree in Computer Science, Computer/Electrical Engineering, Information Technology or equivalent.
• A highly motivated individual in information security and excellent communicator with strong analytical and good problem-solving skills.
• Minimum 5 years of relevant experience working on Data protection technologies: Forcepoint, Proofpoint, Varonis, Zscaler, MSFT Purview
• Good understanding of Security strategy, assessment, and design and implementation and governance frameworks over processes, controls, organisation and infrastructure.
• Proven technical knowledge in Data Governance, Data classification, Data loss prevention, Insider threat, Data encryption, CASB etc.
• Good understanding of cloud platforms like Microsoft Azure, Google and AWS.
• Proficient in PowerShell and Python
• Strong understanding and hands-on experience with Windows OS, including Active Directory and DNS.
• Understanding of creating and managing virtual machines, EC2 instances, VNETs, VPCs, and access control management.
• Experience in implementing and managing firewalls, VPNs, and intrusion detection/prevention systems.
• Ability to respond to security incidents, conduct root cause analysis, and implement corrective actions.
• Familiarity with industry standards and regulations such as GDPR, HIPAA, or ISO 27001, Personally Identifiable Information (PII) ensuring compliance in security practices.
• Excellent business analysis experience in requirements gathering, modelling use cases and experience in business development in supporting new business offerings.
• Any relevant industry related certification will be preferred (e.g. CISSP, AWS , AZURE , Data protection product certifications etc.)

Only shortlisted candidates will be contacted by KPMG Talent Acquisition team, personal data collected will be used for recruitment purposes only.

At KPMG in Singapore we are committed to creating a diverse and inclusive workplace. We believe that diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. As an equal opportunity employer, all qualified applicants will receive consideration for employment regardless of age, race, gender identity or expression, colour, marital status, religion, sexual orientation, disability, or other non-merit factors. We celebrate the different talents that our people bring and support every staff member in their journey to achieve personal and professional growth. One of the ways we do this is through Take Charge: Flexi-work, our flexible working framework which enables agile and innovative teams to help deliver our business goals.

• Three (3) years of working experience in Data Centre Engineer Operations experience;
• Certified Data Centre Facilities Operations Manager (CDFOM) or equivalent; and ITIL v4 Foundation Certification or equivalent
• Work with Customer-appointed Supplier on site preparation tasks such as network cabling and electrical wiring, when required.
• Ensure the network cabling in the data centre and within the racks are neat and tidy.
• Work with the Customer-appointed Supplier for both scheduled and ad-hoc maintenance, servicing, repair and upgrading works to the infrastructure at the Customer’s premises and premises identified by the Customer.
• Plan and coordinate the maintenance activities. This includes polling the affected parties, obtaining the Customer’s approval, and sending out messages to inform the affected party.
• Maintain up-to-date documentation of the data centre design layouts.
• Manage the physical security of the data centre in accordance with the guidelines provided by the Customer.
• Monitor the following physical security infrastructure to ensure they are within the operating levels defined by the Customer:
• · Security Alarm and Security Card Access System; and
• · Closed-Circuit Television (CCTV)

• Working days: 5 days (Mon - Fri)
• Working hours: 10am - 6pm
• Location: Bukit Merah [Near Tiong Bahru MRT & Redhill MRT]
• Salary: $2000 - $2400

Job Responsibilities

• Manage communication between Sales & Marketing team to ensure all are aligned with product delivery strategy.
• Build rapport with both internal and external stakeholders to ensure projects are delivered on time.
• Conduct internal and market analysis to identify key areas of growth for new products.
• Help build and improve resilient internal processes that will allow the business to scale quickly.
• Issuing invoices and airway bills to customers and counterparts.
• Assist in some packing and labelling for products delivery
• Reply to customer inquiries via email and on social media platforms.

Requirements

• Must have knowledge of appropriate software including Ms word, excel, power point, google etc.
• Possess at least Nitec education

Leong Jia Qi Reg No. : R24124746

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

We are seeking a talented and a motivated Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to understand data requirements, optimize data models, and ensure the reliability and performance of our data systems.

Key Responsibilities:

 Design, develop, and maintain robust data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources (e.g., Database, API, SFTP).

 Build and optimize data models and schemas to support efficient data storage, retrieval, and analysis.

 Implement data integration solutions to consolidate data from disparate systems and sources.

 Work closely with Data Scientists and Analysts to understand their requirements and provide them with clean, reliable, and well-structured data.

 Collaborate with DevOps and Infrastructure teams to deploy and manage data infrastructure in cloud environments (e.g., AWS, Azure).

 Familiar with the concept of data security to ensure the data pipelines are secured and PII (Personally Identifiable Information) data are encrypted.

 Monitor and optimize the performance, scalability, and reliability of data systems to ensure high availability and low latency.

 Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.

 Develop and maintain documentation, standards, and best practices for data engineering processes and technologies.

 Stay current with emerging technologies and trends in data engineering and contribute to the continuous improvement of our data architecture and practices.

 Explore, evaluate, and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements:

 BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.

 Proven experience (3 years) working as a Data Engineer or in a similar role.

 Strong proficiency in programming languages such as Python. Conversant with data structures and algorithm design.

 Hands-on experience with distributed computing frameworks and big data technologies such as Spark, Kafka, etc.

 Proficiency in SQL and experience with relational databases (e.g., Azure SQL DB, AWS Redshift).

 Experience with data modelling, ETL/ELT processes, and data warehousing concepts.

 Familiarity with cloud platforms and services (e.g., AWS S3, AWS Step Functions, AWS Airflow, Azure Data Logic Apps, Azure Blob Storage).

 Experience with setting up SSO using AD and implementing RBAC (Role Based Access Control) for data security.

 Excellent problem-solving skills and attention to detail.

 Effective communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

 Experience with version control systems (e.g., Git) and CI/CD pipelines is a plus.

To ensure the DC and equipment are in functioning and operational condition, report if there is equipment fault.

- To assist to perform site preparations and liaise with the relevant vendors on tasks such as IT rack mount plan, structure network cabling system, power supply and electrical wiring, air-conditioning, UPS and etc when required.

- To plan, coordinate and execute any shutdown and power up machines (according to operation manual and SOP) when required by the Customer, to facilitate the activities related to electricity, power maintenance and enhancements. The service shall include polling the possible affected parties, obtaining the approval from the Customer’s Representative and sending out the broadcast messages.

- To ensure that all trouble-shooting, upgrade, maintenance work and any other activities that affect data centre availability must be carried out after operating hours and/or over the weekend at no additional cost to the Customer. All urgent faulty parts replacement of the equipment shall seek approval from the Customer’s Representative. The list of warranty and/or maintenance contract and documentation is covered under Server Management Services.

- To ensure all technical and operational issues, that will affect the daily operations of data centre, be resolved within the stipulated Service Levels.

- To advise and propose improvements to the current processes or procedures for better efficiency and to improve the security of the data centre. However, such proposals shall be subjected to the review and approval of the Customer.

- To monitor the environmental equipment in the Data Centre to ensure that they are within acceptable operating level and take corrective actions to rectify any defects affecting the following:

o Main and Backup Incoming Power Supply

o Uninterruptible Power Supply (UPS)

o Cooling System (Air-conditioning) and Leakage Detection

o Temperature and Humidity

o Rack Space

o Network Data/ Telecom Cabling

o Fire Protection and Fire Alarm System Status

o CCTV and Motion Detectors

o Cleanliness and Tidiness

o Equipment Movements and Storage Management

o Secure Disposal of Media and Documentation

- To take pre-emptive measures to prevent any outage or single point of failure in the Data Centre due to environmental factors. This shall include monitoring of environmental equipment and follow-up with the Customer’s sub-contractors or building management to ensure that defects are identified and corrected.

- To ensure that all equipment in the Data Centre is serviced in accordance with the equipment servicing schedule.

- To provide 1st level onsite problem identification, problem reporting and vendor support after operating hours at no additional cost to the Customer in the event that any environment element fault alert is triggered after the operating hours.

- To liaise with the Customer’s Building Management Unit (BMU) at the Customer’s sub-contractors for the maintenance and servicing of the equipment in the Data Centre:

o Power Supply

o UPS

o Cooling System (Air conditioning) and Leakage Detector

o Fire Protection System

o CCTV and Motion Detectors

- To liaise and coordinate with the Customer’s appointed third-party vendors for the servicing of computer equipment hardware.

- To document and track all equipment in the Data Centre. The format of documentation shall be approved by the Customer.

- To establish capacity plans by analyzing current Data Centre resources based on current load and information given by the Customer on future growth requirement.

- To carry out annual capacity planning for the Data Centre at dates mutually agreed by the Customer, so as to project the requirements of UPS, power points, network, rack space and other Data Centre peripherals resources needed.

- The capacity plan report shall be submitted to the Customer within TWO (2) weeks upon the completion of planning.

Requirement – DC Operations

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

1. DC Environment Support; and

2. DC Facilities Management Services.

DC Environment Support

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

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

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

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

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

(e) Water leakage detection.

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

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

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

DC Facilities Management Services

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

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

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

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

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

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

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

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

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

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

· Security Alarm and Security Card Access System; and

· Closed-Circuit Television (CCTV).

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

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

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

Requirement – DC Operations

Minimum Requirement:

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

(a) Three (3) years of working experience in Data Centre Engineer Operations experience;

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

(c) ITIL v4 Foundation Certification or equivalent

Passionate about making a real impact? Join our team at Nxera to unfold the new era! Be at the forefront of the data centre (DC) industry with a unique focus on sustainability, connectivity and AI which sets us apart as the next generation DC operator. You will also get to gain invaluable experience in a fast-growing industry that is powering the digitalisation wave. Be empowered to co-create the future with our dynamic teams!

Make an Impact by

DC Operations Management

• Ensure incidents are responded and attended to, or escalated for 2nd/3rd level resolution based on criticality, impact and SLA
• Lead BCP exercise and be the 1st level incident responder.
• Customer Request fulfilment and system management such as Electronic Visitation Management System
• Remote Hand support for – media management, visual inspection, reboot devices, staging room, physical connect/disconnect of HDD, network cable connectivity test, insertion of fire SFP
• Manage equipment movement, asset tagging, labelling and tracking
• Perform shift duty to support 24x7 DC Operations

DC Facilities Management

• Perform Event Monitoring for all Data Centre Facilities infrastructure to ensure Data Centre is in normal function both upstream and downstream (eg. UPS, power, temperature control, humidity, water detection sensor, etc.).
• Ensure all DC supporting infrastructure (i.e. Environment Monitoring System (EMS), Access Control Systems, Electronic Visitation Management System.etc) are functioning well.
• Update and maintain all DC related documentation, including reports generation where needed
• Coordinate with various stakeholders to fix the technical issues to provide timely support to customers.
• Ensure adherence to all standard operating procedures (SOP), method of procedures (MOP), and emergency response procedures (ERP) established for the critical environments, as well as the formal change control process.
• Coordinate maintenance and shutdowns (eg. working with vendors for DC electrical and mechanical systems)

Incident / Change / Customer Management and other requirements

• Manage Incidents and Closure, including Root Cause Analysis on incidents
• Raise the necessary requests from such as Change Request or notifications requests to the customers as part of service maintenance
• Liaise with internal and external customers and ensure that customers’ contractual service level agreements are met
• Perform other duties such as access clearance, and participate in projects as required

Skills for Success

• Diploma Holders in Electrical & Electronics, Computer & Communications Engineering, Information & Digital Technologies. Alternatively, you have Technical education (e.g. ITE) with relevant 5 year working experience managing 24x7 DC Operations
• General technical and functional knowledge of data center infrastructure to include electrical and mechanical systems, fire detection and protection systems, building management systems, equipment maintenance, space planning, construction of critical facilities environment
• Good communication and people management skills.
• Team player who is also able to perform independently
• Well organized and able to reschedule priorities as circumstances change
• Good communication skills (both verbal & written)
• Analytical with good problem solving skills
• Positive attitude and Proactive

Rewards that Go Beyond

• Flexible work arrangements
• Full suite of health and wellness benefits
• Ongoing training and development programs
• Internal mobility opportunities

Role

This position is expected to base in Singapore with focus in both presales and post-sales activities . He/she is expected to support senior to develop data privacy proposal or response to Request For Proposal (RFP) and support seniors in the implementation of the Data Privacy Framework or/and Data Privacy Management Software for the regional customers. This candidate can expect to acquire knowledge/experience of end-to-end ie from pre-sales to post-sales.

This candidate may from time to time being assigned project to carry out either the whole implementation or partial phases depending on the resourcing plan. This role is expected to be an integral part of the team to deliver quality implementation of our services to our customer.

Company Profile

CNAV Business Value is an organization with South-East Asia presence founded in year 2008. It has been partnering with globally recognized Data Privacy and Cybersecurity vendors such as Symantec, Trellix, Opentext/MicroFocus, Securiti Inc, Rubrik etc. Employees are constantly exposed to the leading-edge Data Privacy and Cybersecurity solutions that are undertaken by big enterprises.

CNAV is a Data Security and Data Privacy Solution Provider specialized in managing turnkey projects, providing services including but not limited to Data Security and Data Privacy based on business requirement with focus in complying to Data Privacy acts in SEA such as PDPA in Singapore, Thailand and Malaysia, PDPD in Vietnam and PDP Law in Indonesia.

Duties

The expected duties of this role are as follow:

1. Supporting Sales on crafting out solution proposals or response to an RFP
2. Furnish sales proposal with write-ups
3. Research on respective regulations if applicable
4. Present proposal to customer
5. Carrying out implementation of solution in whole or partial phases for projects
6. Develop framework, privacy policies, procedures and notices for customers
7. Assist Consultant in conducting workshops and aid in developing data inventory maps or records of processing activities
8. Carry out as a Business Analyst role for the implementation of the privacy product purchased by customer
9. Conduct training

Qualification

The expected qualification is as follow:

1. Diploma or Degree in either Business Administration, Banking or equivalent
2. At least 3 years of providing data privacy consulting or relevant experience especially some exposure in Singapore PDPA, Indonesia PDPL or EU GDPR will be an advantage
3. Meticulous in reading and crafting documents
4. Fluent in English
5. Ability to speak in other languages such as Bahasa Indonesia, Bahasa Malaysia or Vietnamese is advantage
6. Good interpersonal communication skill
7. Ability to work without supervision
8. Passionate about achieving customer satisfaction
9. Some interest in Information Technology and prepared to pick up new technology related to data privacy
10. No issue in traveling in SEA

• Monitor and maintain critical data centre infrastructure, including power distribution systems (UPS, generators), HVAC systems, fire suppression systems, and access control systems.
• Perform preventive maintenance on data centre equipment and systems.
• Respond to alarms, troubleshoot issues, and ensure prompt resolution.
• Liaise with the building landlord to coordinate maintenance schedules, address building infrastructure issues, and ensure compliance with safety regulations.
• Support off-office hours activities, including responding to emergency alarms, performing on-call duties, and coordinating with vendors for emergency repairs.
• Ensure strict adherence to data centre physical security procedures.
• Follow documented incident response procedures, track incidents to closure, and communicate with stakeholders.
• Generate reports to management, including monthly performance reports, incident summaries, root cause analyses, and status reports on ongoing projects.

Qualifications:

• 3+ years of experience in data centre facility management.
• Experience working in a 24x7 mission-critical environment.
• Strong knowledge of electrical and mechanical systems in data centres.
• Experience with fire suppression systems and access control systems.
• Proficiency in troubleshooting and problem-solving.
• Excellent communication and interpersonal skills.
• Must have prior experience working in data centre operations in financial institutions.

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

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business

Our Training & Simulation Systems delivers learning, training, and simulation solutions and systems that elevate training experiences; offer immersive technologies that transform learning and training; along with training support and consultancy services for aerospace, land, maritime, public safety and security, and commercial segments. We provide comprehensive end-to-end solutions, from design and development to seamless implementation, maintenance, and ongoing operations.

Together, We Can Make A Significant Impact

You will be part of the data engineering team. Your role includes designing and developing high quality data products - data warehouse, data marts, data lake and data hubs; either on cloud or on-premises system environments.

Be Part of Our Success

• Build and support data pipelines and all associated Software Engineering infrastructure tasks.
• Liaise with clients, technical architects, data architects, data scientists and BI analysts to gather requirements.
• Analyse data requirements, prepare functional and non-functional specifications for the data products.
• Develop the data pipeline using either ETL or ELT approach to load or synchronise data in near real time or batch mode.
• Analyse and interpret data into business insights.
• Design and develop the dashboards and visualizations using the BI tools.
• Ability to understand and convert the business logics into SQL queries and validate it against the data.
• Prepare Test Plans and conduct Unit Test, System Integration Test, User Acceptance Test and Performance Test.
• Implement deployment approaches and methods to roll-out the system changes.
• Stay up-to-date with industry standards and technological advancements that will improve the quality of the data products.

Qualities We Value

• At least 3 years of end-to-end data warehouse, data lake and big data implementation experience with similar industry will be a plus point.
• Proficient with at least one or more of the following technologies: Informatica , SSIS, SQL Skills, SQL Server , Azure Data Factory, Data Warehouse, ETL Framework.
• Preferably possess a good knowledge about: Power BI, Qlik Sense, MicroStrategy, SAS and Tableau.
• Preferably possess a good knowledge about: AWS/Azure services, Hadoop Ecosystem, Data APIs, Unstructured Data and Data Modelling.
• Able to work under pressure when there is an escalated demand in the project cycle.
• Understand the solution requirements and progress to develop, build and operationalise the solutions.
• Enjoy problem solving in different domains and industries.
• Love working with a highly energetic and competent team.
• A self-starter with an analytical approach to problem solving.
• A client-centric, outcome driven and quality focused team player.
• Excellent communication; both in written and spoken English.

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

Responsibilities

• Conduct thorough data analysis and implement data-driven solutions to support customer issue troubleshooting, utilizing statistical modelling and machine learning techniques to identify root causes and provide actionable insights for resolution
• Partner with field engineering teams to analyse data from plasma etching systems and provide timely, meaningful and accurate analysis results to support data-driven improvement
• Communicate effectively with both customers and internal teams, present complex data analysis findings or results to stakeholders in a concise, effective and understandable manner
• Develop advance statistical and machine learning algorithms to extract insights from large and complex data sets, and work with internal engineering team to evaluate the effectiveness of the algorithms
• Collaborate with global data engineering teams to share best practices and work on cross- functional projects that require data science expertise
• Manage and maintain the internal analytics solutions, supporting continuous development and implementation, and ensuring that data integrity and accuracy are always maintained
• Develop and conduct training sessions for local engineers on data analytics skills such as JMP/KNIME & Other duties as assigned

Requirements

• Degree/Master in Microelectronics, Data Science or a related field with Minimum 3 years' experience in semiconductor manufacturing equipment, semiconductor fabrication factory, semiconductor parts/peripherals or related industry
• Proven working experience as a Data Scientist in the semiconductor industry with a focus on plasma dry Etch process
• Ability to develop and implement algorithms for process optimization and problem solving
• Strong knowledge of data analytics methodologies, statistical analysis, machine learning techniques, and predictive modelling
• Proficiency in using various data science tool sets and programming skills (e.g., Python, JSL, R etc.) for data manipulation, visualization, and analysis

Additional info

• Company industry: Electronic & SemiCon Manufacturing
• Location: Paya Lebar

GMP Recruitment Services (S) Pte Ltd | EA Licence: 09C3051 | VO UYEN AI LINH | Registration No: R22109232

• Min 8 years of experience.
• At least 8 years of data-related working experience, with at least 5 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

Zenith Infotech is a Tech Recruitment Company in Singapore for the last 27 years. We are looking for a suitable candidate to fill the above position of BI Engineer.

Responsibilities: As a BI Engineer, you will be responsible for developing and maintaining the Microstrategy setup within the overall Data Platform. The engineer must be able to discuss requirements with the clients and support in setup and issue rectifications.

Top 3 skills (must have)
1. MicroStrategy Business Intelligence
2. ETL Pipelines
3. Data Modeling Techniques and Methodologies , strong MSTR knowledge

Overall (10) years of IT / Data Engineering experience.

At least (3) years of relevant experience in:

• Business Requirement Analysis
• Business Process and System Understanding
• Effective Communication with both business and technical users
• Conversant in Microsoft Office products

At least (2) years of hands-on experience as Azure Data Engineer using:

• Azure Data Factory
• Azure Synapse Analytics / Datawarehouse

At least (3) years of hands-on experience in:

• Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
• Implementing Data Quality validation
• Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema
• Python Coding Experience

Required qualifications Bachelors of Engineering

JOB DESCRIPTION

• Define key metrics for governance to ensure compliance with data-related policies, standards, roles, and responsibilities
• Drive Data Governance and Management on an on-going basis through being the chair to the Data Governance Council
• Responsible for defining data policies and standards, managing stakeholder communication and progress reporting to leadership and executives
• Manage and coordinate all key issues and escalations around data governance
• Work closely with Data BP's s to build their engagement and stewardship of data assets
• Collaborate with our Cybersecurity and technology operations teams to implement data governance standards and best practices to improve the quality of data
• Leverage deep experience in the implementation of data governance solutions in such areas as: data quality, data lineage, data glossary, data security management, metadata management, and advanced data analysis solutions
• Write data governance policies, oversee the adoption of data governance efforts, and partner with the legal and information security teams to fulfill Keppel's commitments related to reducing Data Management risks

JOB REQUIREMENTS

• An excellent communicator who can drive the process to govern data at enterprise scale as the role requires close collaboration with senior-level executives (members of DG Councils/C-Suite), business data owners, and stewards
• At least 10+ years of experience in a leadership role related to data
• At least 5 years of experience either in leading a data governance function or being part of a team that managed large-scale data governance initiatives; with expertise in data governance, data quality industry best practices and framework

Responsibilities:

As a BI Engineer, you will be responsible for developing and maintaining the Microstrategy setup within the overall Data Platform. The engineer must be able to discuss requirements with the clients and support in setup and issue rectifications.

Top 3 skills (must have)
1. MicroStrategy Business Intelligence
2. ETL Pipelines
3. Data Modeling Techniques and Methodologies
strong MSTR knowledge

Job Description: Azure Data Engineer

We are seeking a skilled Azure Data Engineer with a minimum of 2 years of hands-on experience in Azure data services. The ideal candidate will play a critical role in designing, developing, and optimizing data pipelines and analytics solutions to support our organization’s data-driven initiatives.

Key Responsibilities:

• Design, develop, and maintain data pipelines using Azure Data Factory.
• Implement and manage data integration and transformation workflows.
• Build, optimize, and maintain scalable data solutions using Azure Synapse Analytics or Azure Datawarehouse.
• Collaborate with cross-functional teams to gather requirements and deliver data solutions aligned with business objectives.
• Ensure data quality, consistency, and reliability across all data processes.
• Monitor, troubleshoot, and improve data workflows for performance and scalability.
• Stay updated on industry best practices and emerging Azure technologies to implement innovative solutions.

Requirements:

• Experience: At least 2 years of hands-on experience with Azure Data Factory and Azure Synapse Analytics/Datawarehouse.
• Certifications: Preferably holds a Microsoft Azure Data Engineer Associate certification or other relevant Microsoft certifications.
• Strong understanding of data integration, ETL/ELT processes, and data modeling.
• Familiarity with Azure cloud ecosystem and services (e.g., Azure Storage, Azure SQL Database).
• Solid experience with SQL for querying and managing data.
• Strong problem-solving skills and the ability to work independently or in a team environment.
• Excellent communication and interpersonal skills for effective collaboration with technical and non-technical stakeholders.

Preferred Qualifications:

• Experience with data governance, security, and compliance in cloud environments.
• Knowledge of scripting languages (e.g., Python, PowerShell) for automation.
• Familiarity with big data tools and frameworks within Azure.

Senior Data Scientist

In view of business expansion, our client is seeking a Senior Data Scientist based in Singapore. The Data Scientist will design, build and execute machine learning techniques on large, complex, structured / unstructured data sets to find out hidden patterns and predictive signals.

The Responsibilities:

• Identify use cases allowing to take advantage of GenAI & Machine Learning capabilities
• Define data science approaches that fit with clients’ business challenges, using state-of-the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner.
• Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets
• Interact with business stakeholders to understand business data and analytics requirements and identify data-driven business opportunities
• Responsible for explores information from multiple diverse sources, analyzing data and gain insights into business intelligence that is actionable
• Identify and uncover new opportunities, insights, trends, and patterns from analysis to key stakeholders/decision-makers
• Stay up-to-date with the latest data science and data engineering techniques and tools
• Deploy ML models into production (either alone or working with data engineers if necessary)

The Requirements

• Degree in Computer Science, Computer Engineering or a related field
• Over 5 years expertise in Data Science
• Good applied skills with statistical programming languages such as R, Python (NumPy, pandas), SAS, SPSS etc.
• Experience with machine learning frameworks (e.g scikit-learn, Spark MLlib, Caffe, TensorFlow) and/or data science platforms (e.g. SAS, Dataiku)
• Experience of ML and LLM libraries and tools such as MLFlow, Langchain to develop GenAI applications, model experimentation and basic UI development with libraries such as Gradio or Streamlit.
• Experience with No-Code/Low-Code GenAI tools such as Langflow, Flowise, Rivet
• Data-oriented background in SQL, data wrangling and data modelling
• Exposure to data visualization tools and/or charting libraries (eg. Tableau, Qlik, D3.js, GGplot)
• Familiar with deploying Data projects into cloud (e.g Azure, AWS, GCP)
• Team player with good interpersonal and problem solving skills.
• 2 positions available

Office Location: East

Kindly indicate your current/last salary details and also your notice period

Interested candidates kindly forward your CV to [email protected] (Dorothy Ma Li, Reg No: R1769176). Feel free to forward this great opportunity to someone who would be a great fit for this role.

All information will be kept strictly confidential. We regret to inform that only successful applicants will be contacted.

PeopleSearch Pte Ltd

EA License No: 16S8057

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

Job Description:

A Databricks Engineer is responsible for leading the migration of on-premises data warehouses to Databricks, designing robust data architectures, and ensuring seamless data integration and governance. The role involves implementing cloud-based solutions, optimizing data workflows, and extracting insights while maintaining data security and compliance standards.

Key Responsibilities:

· Lead end-to-end data migration projects from on-premises environments to Databricks with minimal downtime.

· Design and implement solutions on Databricks within AWS environments, adhering to functional and non-functional requirements.

· Configure Databricks clusters, write PySpark code, and develop CI/CD pipelines for deployment.

· Apply optimization techniques like Z-ordering, auto-compaction, and vacuuming for enhanced performance.

· Process near real-time data using Auto Loader and DLT pipelines.

· Optimize AWS and Databricks resources for performance and cost efficiency.

· Stay updated with advancements in AWS, Databricks services, and data engineering practices to recommend improvements.

· Implement engineering methodologies, standards, and best practices.

Required Skills:

Experience:

· Minimum 5 years in data engineering, with expertise in Databricks, AWS/Azure services, or Informatica IDMC.

Technical Proficiency:

· Strong knowledge of Databricks, Python, PySpark, SQL, and NoSQL databases.

· Hands-on experience with Apache Spark, Hadoop, and cloud-based data architectures.

· Proficiency in building data pipelines using Python, Java, or Scala.

Data Management:

· Expertise in data modelling, schema design, and data governance.

Optimization Skills:

· Familiarity with techniques like Z-ordering and compaction.

Certifications:

· Databricks certifications and Informatica certifications (preferred).

Soft Skills:

· Excellent analytical, problem-solving, communication, and collaboration abilities.

Preferred Skills:

· Experience with containerization and orchestration tools like Docker and Kubernetes.

· Knowledge of data visualization tools like Tableau or Power BI.

· Familiarity with DevOps principles, CI/CD pipelines, and version control systems like Git.

· Understanding of data cataloguing tools and data governance, especially Informatica IDMC.

This role demands a proactive approach to implementing innovative solutions and optimizing workflows to ensure high-performance data engineering.