Responsibility

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

Design and build the DWH database models (star schema).

Manage the semantic model in Oracle Analytics Cloud to provide a unified view of our organization's data.

Manage application roles and access rights for end users including row level security filters, to protect sensitive data.

Work with ETL specialists, IT business Consulting as well as external vendors to ensure data ingestion and integration into the database model

Collaborate with Business Controlling and business counterparts on new reporting requirements.

Ensure data quality, security and compliance with industry standards and internal guidelines.

Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

Skills

Looking for a Data Engineer more focused on Database modelling, Currently in Oracle environment and going forward with GCP stack.

Proficiency in SQL and data warehousing

Strong understanding of data modelling techniques and hands on experience building database models (star schema).

Expertise with ETL (extract, transform, load) processes. Familiarity with BI tool integration such as Tableau or Looker

Strong analytical thinking, problem-solving capability, and ability to translate business needs into technical specifications.

Customer-oriented with good communication and interpersonal skills.

AI and Data Platform Solution Architect/Consultant is a pivotal role responsible for engaging with clients to understand their requirements, demonstrate the capabilities of Data and AI, particularly Large Language Models (LLMs), and architect solutions that meet their needs. This individual should possess a solid understanding of Data fundamentals, with a focus on AI and Analytics, and be adept at conducting Proof of Concepts (POCs) to showcase the effectiveness and applicability of AI & LLM in solving real-world problems. The role involves collaborating closely with sales teams, and clients to articulate the value proposition of Private LLM solutions and drive successful pre-sales activities.

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. The people here at Apple donʼt just craft products - they build the kind of wonder that revolutionized entire industries. Itʼs the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Are you interested in being part of a team that continues to innovate the way people and machines interact? The world of Artificial Intelligence and Machine Learning (AIML) is rapidly growing and the human annotation team is a big part of it. Siri is powered by Apple Intelligence and offers a faster, easier way to get things done on your Apple devices, even before you ask. The Data Operations team is passionate about technology with a focus on enriching the customer experience. We are looking for a motivated Annotation Analyst that demonstrates active listening, integrity and acute attention to detail. Bring passion and dedication to your job and there's no telling what you could accomplish. This position will be based at the Apple corporate campus at Ang Mo Kio.

Description

Our team is comprised of very talented individuals, who are passionate about AIML and ensuring Apple services are at their best. As part of the Data Operations team you'll play a central role in enhancing the user experience. We work in a fast paced, dynamic, technology focused environment. As an Annotation Analyst, you'll annotate data which can be both audio and visual and evaluate data from customers who have opted in to the grading program. You'll use your language and cultural knowledge, along with analytical skills, to evaluate responses and information against guidelines. Your flexibility and the ability to prioritize tasks is essential. We focus on the user experience, thinking creatively on how customers use our products and use this knowledge for improvements. Because we believe our individual backgrounds, perspectives, and passions help us build the ideas that move all of us forward. We'll train you to be an expert in understanding, supporting and improving the customer experience. This position is required to work Monday through Friday with work hours starting between 7am-9am and ending between 4pm-6pm local time with scheduling and work flexibility based on business needs.

Minimum Qualifications

• Vietnamese reading, writing, and comprehension skills to support the language specific market
• Fluency in English reading, writing and comprehension skills to partner with international teams
• Excellent active listening skills with the ability to understand verbal nuances
• Understanding of the local region and cultural variations
• Demonstrates integrity and focuses on customer privacy

Preferred Qualifications

• Demonstrates attention to detail and critical thinking skills in evaluation of language usage and dialect
• Highly organized with strong attention to detail
• Ability to independently navigate systems and tools
• Experience in content review or a similar environment, prior testing experience preferred
• Demonstrates flexibility and adaptability to changing work-flows and responsibilities
• Grows with a team where expertise is shared and feedback is welcomed
• Excels at working independently to make timely decisions and take appropriate actions
• Experience as an end user of Siri, similar Intelligent Personal Assistants, or other AI
• Successfully meets or exceeds targets, working within tight deadlines
• Ability to identify business process solutions that increase efficiencies
• Ability to maintain focus and aim for high results through large volumes of tasks
• Ability to work on safety data which could include offensive material
• Thrives in repetitive work and ambiguous scenarios
• Bachelor’s degree or equivalent job-related experience

Senior Data Engineer ( Informatica and MS Fabric )

Job Requirement:

• Data Engineers with experience in Informatica, Microsoft Fabric typically have responsibilities centered around designing, implementing, and managing data pipelines and architectures that support data integration, transformation, and analytics within a cloud-based or hybrid environment.
• Design and implement ETL (Extract, Transform, Load) workflows using Informatica PowerCenter, Informatica Cloud, or Informatica Intelligent Cloud Services (IICS)
• Build and manage ETL and ELT data pipelines using Azure Data Factory (ADF) to orchestrate data movement and transformation across on-premises and cloud environments.
• Create and optimize Spark-based data pipelines in Databricks, using notebooks or jobs to ingest, clean, and transform large datasets for analytics and reporting.
• Work with Microsoft Fabric to integrate and manage dataflows, datasets, and transformation processes across its unified data platform, helping build scalable data pipelines.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

Recruitment Manager

Hand Phone: +65 92333815

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

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• At least 10 years of experience in a relevant industry or consulting role. Management consulting experience gained through a Big 4 is highly advantageous
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments
• Experienced in engaging and managing a variety of stakeholders
• Prior experience of leading team for projects and pursuits
• Excellent written, communication, and presentation skills in English (additional local language skills are considered an asset)

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

About The Role

Goldman Sachs employs thousands of engineers across many divisions. We write software that powers every aspect of our business. It's no surprise that we collect and analyze vast amounts of data relating to the the efficiency of our development processes, the value that we drive through software, and the effectiveness of how we leverage our internal tooling and services to empower development. Our data allows our internal businesses to optimize, focus their attention and manage costs. It allows us to assess the impact and performance of developer productivity initiatives, cost saving initiatives, and manage our huge software inventory.

What We Need

We are seeking a highly skilled Data Software Engineer to design, implement, and maintain robust data systems and pipelines that empower our organization to leverage data effectively. The ideal candidate will come from a software engineering background, with commercial development experience in one or more object-oriented languages (Python, Go, Java, C#). Knowledge of data modeling, pipeline construction, data normalization and sanitization, and data governance would be highly advantageous.

They will collaborate with cross-functional teams to ensure the availability, quality, and security of data to support business objectives.

Key Responsibilities

1. Data Pipeline DevelopmentDesign, build, and maintain scalable and efficient data pipelines for processing and transforming large datasets.
   Ensure pipelines are optimized for reliability and performance.
   
2. Data Modeling and ArchitectureDevelop and maintain logical and physical data models tailored to business needs.
   Optimize data storage solutions for scalability and performance.
   
3. Data Quality and SanitizationImplement processes for data normalization, deduplication, and cleaning to ensure high-quality datasets.
   Identify and resolve data inconsistencies, errors, and anomalies.
   
4. Data Governance and SecurityEstablish and enforce data governance standards, including policies for data access, compliance, and privacy.
   Implement security measures to protect sensitive data and ensure compliance with regulatory requirements.
   
5. Monitoring and OptimizationDevelop monitoring solutions to ensure the health and reliability of data pipelines and systems.
   Continuously optimize performance, storage, and costs of data infrastructure.
   

Qualifications

• Education:Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  
• Experience:3+ years of experience in software engineering, data engineering or a related role.
  Proven experience with data modeling, ETL/ELT pipelines, and data architecture design.
  Proficiency in programming languages such as Python, Java, or Scala.
  Strong knowledge of SQL and relational databases (e.g., PostgreSQL, Sybase, SQL Server).
  
• Desirable Technical Skills:Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
  Familiarity with data integration tools (e.g., Apache Airflow, Talend, Informatica) and streaming technologies (e.g., Kafka, Flink).
  Experience with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery).
  
• Soft Skills:Strong analytical and problem-solving abilities.
  Effective communication and collaboration skills to work with diverse teams.
  Attention to detail and a proactive approach to ensuring data integrity.
  

Preferred Qualifications

• Experience in conforming to data governance frameworks.
• Knowledge of data lake architectures and unstructured data processing.
• Familiarity with machine learning workflows and AI-driven data applications.
• Certifications in relevant technologies (e.g., AWS Certified Data Analytics, Google Professional Data Engineer).

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Nearest MRT: Buona Vista
Contract Duration: 6 Months
Working Hours: 8.30am – 6pm (Mon-Thu), 8.30am – 5.30pm (Fri)
Basic Salary: $13 per hour

Job Responsibilities:

· To support the design of data collection channels

· To support data integration between data collection channels and dashboard

· To support the identification of opportunities for process automation and improvements

Job Requirements:

· GCE A Levels and above

· Proficient in Microsoft Excel (i.e. creation of databases and calculations/formulas)

· Proficient in Tableau is an added advantage.

· Only Singaporeans.

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

Interested candidates, please forward a copy of your resume to: [email protected].

Justin Lee
Registration No: R22107715
APBA TG Human Resource Pte Ltd
EA License: 14C7275

Role: Reporting and Analytics Developer/Data Engineer

Duration: 12 months (renewable)

Location: Central

We are seeking a Reporting and Analytics Developer/Data Engineer (Associate Consultant skill level) to join the Financial Centre Development Department . The ideal candidate must have strong data modelling and data analysis skills, and familiarity with scripting for automating tasks. The successful candidate will be part of the team that drives data and digital transformation within the development function. Responsibilities include working with partners to streamline processes and implement automation to improve efficiency and quality of output.

Key Responsibilities:

• Analyse the Authority’s data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design, and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with partners to streamline processes and implement automation to improve efficiency and quality of output.
• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues.

Requirements:

• Strong data modelling and data analysis skills are a must.
• Familiarity with scripting for automating tasks using Python.
• Hands-on experience of reporting or visualization tool like SAP BO and Tableau is important.
• Good understanding and completion of projects using waterfall/Agile methodology.
• Good understanding of analytics and data warehouse implementations.
• Hands-on experience in DevOps deployment, ETL tools like Informatica, and data virtualisation tools like Denodo will be an added advantage.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

• The researcher will assist PI in developing innovative algorithms to model and predict the failures in the spatial temporal distributed systems. Programming is required, with skills in scientific computing.

Job Requirements

At least 3-4 years experience in research; track records in publishing top research paper; experience in programming

Permanent, 5days, Paya Lebar

Our client

MNC in air conditioning ventilation system solution serving high tech industry

Job Scope:

• Plan and manage HVAC projects for data centers.
• Lead project meetings and collaborate with clients, consultants, subcontractors, and internal teams.
• Review project specs, drawings, and contracts for compliance.
• Monitor site progress and address any technical or operational issues.
• Prepare schedules, reports, and project documentation.
• Oversee procurement of materials and equipment.
• Ensure workplace safety, quality, and regulatory compliance.
• Conduct site inspections and guide the project team.

Requirements:

• Degree in Mechanical Engineering or a related field.
• Minimum 2 years of experience in ACMV/HVAC or related M&E projects.
• Familiarity with HVAC systems for data centers.
• Strong project management skills.

Work location :Paya Labar

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

For better response, pls apply via job page

https://recruitmentalliance.zohorecruit.com/jobs/Careers

click job opening, click relevant position

We regret that only shortlisted candidates will be notified

Site Operations Management

• Manage the daily operations and maintenance of signed sites.
• Collect and analyze core data, such as sales, equipment usage, and customer feedback, in a timely manner.

Sales Performance Improvement

• Collaborate with the BD/Sales team to develop and execute strategies for increasing sales at various sites, such as promotional activities and product upgrades.

Value-Added Business Development

• Identify and promote value-added opportunities for sites, such as introducing new machines, expanding functionalities, or integrating resources from other partners.

Cross-Department Collaboration

• Work closely with the product, R&D, logistics, and supply chain teams to facilitate equipment installation, maintenance, and feature updates.
• Maintain synchronized communication with backend departments like finance and HR.

Key Data Monitoring

• Oversee key performance indicators (KPIs) during site operations, such as sales revenue, equipment uptime, and repair response times.
• Provide regular operational feedback and propose improvement suggestions.

Relationship Management

• Maintain cooperative relationships with site owners to continuously optimize collaboration models.
• Preserve and enhance brand image with site partners.

Job Requirements

• At least 6-8 years of experience in site operations management, familiar with site expansion and maintenance processes.
• Strong in data analytics
• Experience in F&B, Retail, Machinery, Equipment or related industries preferred.
• Strong cross-department communication, project management, and problem-solving skills.
• Data-driven mindset with high sensitivity to key operational metrics.

Job Description

· Conduct and analyse market research on commercial-defense products with AI technologies to identify market demand, growth opportunities and competitive threats

· Translate global and regional market intelligence into actionable insights that inform strategic product direction and commercial planning.

· Provide senior leadership with clear, data-driven reports on market trends, customer demands, and emerging technologies that could influence business strategy.

· Ensure compliance for advanced networks, sensors, and AI technologies by managing certification processes and maintaining adherence to industry regulations.

· Develop and optimize pricing strategies for networks, sensors, and AI-based solutions that balance profitability with competitive positioning.

· Lead the development and execution of GTM strategies for advanced networks, sensors, and AI products, targeting both regional and global market penetration.

· Partner with the Product Managers, Marketing and International Business to execute GTM plans that align with customer needs and business objectives.

Requirements

· Bachelor’s degree in Business, Engineering or a related field; advanced degree (MBA or M.S.) or certifications in Digitalisation, AI and Data Science.

· Experience: 5+ years in start-ups or corporate roles in commercial business functions that focused on business model innovation, go-to-market analysis, compliance and commercialisation in the AI, telecommunications and tech sectors.

· Solid understanding of market dynamics and regulatory requirements, with in-depth knowledge of compliance and certification processes relevant to the industry.

· Develop and implement pricing strategies and go-to-market plans.

· Preferred: Proficiency with advanced networks and sensors with AI applications.

· Strong written and verbal communication skills, with experience in delivering markets, business and commercialisation insights and recommendations to senior management.

· Exceptional organizational skills and the ability to manage complex, cross-functional initiatives with multiple stakeholders.

· Leadership: Experience leading teams and fostering collaboration across product, finance, and commercial departments.

· Singaporean only.

· Location: Jurong East / Ang Mo Kio.

Please submit resumes to [email protected]

- 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.

Job Description

Role: Senior ETL Test Lead

Must Have:

• At least 10+ yrs. quality assurance with exposure/experience in Agile Development environments for DWH/ETL Projects.

• Experience with Query Surge automated testing tools or equivalent automation skills.

• Can write ETL Testing scripts (using SQL/Python)

• Have deep knowledge of Data Warehousing concepts, ETL Process and cloud systems.

• Has strong testing experience with snowflake and on prem Hadoop and Teradata

• Hands on experience of different DBs like, MS SQL Server, Oracle, DB2 etc.

• 2-3 yrs. Of Domain Knowledge for Banking Projects.

• Identifies, communicates, and escalates issues as required

• A team player and self-starter who will work side by side with the development team

• Ability to multi-task, prioritize tasks and quickly adjust in a rapidly changing environment

• Excellent verbal and written communication skills

• Thorough working knowledge of software testing methodologies and the testing life cycle

Good to have:

• Data Migration testing projects for Cloud or on- premise databases.

• Ability to work independently with clients, proactive, and self-managed

• Solicitation and elicitation of client needs and requirements

• Project Management and Software Development Methodologies

• Industry experience in Banking domain is beneficial

• Familiarity/exposure to programming languages and SQL to allow for defect triaging and automation

• Familiarity/exposure to scripting languages used in test automation

EA Number: 11C4879

Job Description

· Conduct and analyse market research on commercial-defense products with AI technologies to identify market demand, growth opportunities and competitive threats

· Translate global and regional market intelligence into actionable insights that inform strategic product direction and commercial planning.

· Provide senior leadership with clear, data-driven reports on market trends, customer demands, and emerging technologies that could influence business strategy.

· Ensure compliance for advanced networks, sensors, and AI technologies by managing certification processes and maintaining adherence to industry regulations.

· Develop and optimize pricing strategies for networks, sensors, and AI-based solutions that balance profitability with competitive positioning.

· Lead the development and execution of GTM strategies for advanced networks, sensors, and AI products, targeting both regional and global market penetration.

· Partner with the Product Managers, Marketing and International Business to execute GTM plans that align with customer needs and business objectives.

Requirements

· Bachelor’s degree in Business, Engineering or a related field; advanced degree (MBA or M.S.) or certifications in Digitalisation, AI and Data Science.

· Experience: 5+ years in start-ups or corporate roles in commercial business functions that focused on business model innovation, go-to-market analysis, compliance and commercialisation in the AI, telecommunications and tech sectors.

· Solid understanding of market dynamics and regulatory requirements, with in-depth knowledge of compliance and certification processes relevant to the industry.

· Develop and implement pricing strategies and go-to-market plans.

· Preferred: Proficiency with advanced networks and sensors with AI applications.

· Strong written and verbal communication skills, with experience in delivering markets, business and commercialisation insights and recommendations to senior management.

· Exceptional organizational skills and the ability to manage complex, cross-functional initiatives with multiple stakeholders.

· Leadership: Experience leading teams and fostering collaboration across product, finance, and commercial departments.

· Singaporean only.

· Location: Jurong East / Ang Mo Kio.

Please submit resumes to [email protected]

- 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.

Company’s Profile

Our client, a security solutions provider has been established for more than 25 years, with a strong reputation in the industry. They specialize in delivering comprehensive turn-key security systems, from design and integration to maintenance and support and serve clients in government, trade and commercial sectors. They are now looking for Data Center Engineers to join their expanding team!

Location: Tampines

Working hours: Monday to Friday, Standard Office Hours

Responsibilities:

• Oversee building and data centre facilities: recording and reporting on the BMS / EMS / Fire D&P / Chiller / Electrical etc
• Administrator for preventative maintenance programs to ensure that equipment are properly serviced & maintained
• Maintain good documentation of facilities and / or equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Respond to emergency situation and be on 24x7 standby duty
• Prepared to be on 24x7 standby recall to provide extra manpower coverage when necessary
• Oversee new data centre projects as well as renovation and maintenance to existing space
• Responsible to handle site inspections / audits by external authority (eg. HDB/LTA/NEA/FSB)
• Scheduling and tracking of servicing jobs and vendor management on a day to day basis
• Maintain high customer service level standards
• Managed all facilities contracts

Requirements:

• Min. Diploma or Degree in Building / Facility Management or any other related field
• Min. 1 year relevant experience in Data Centre facility management and vendor management
• Good knowledge in building technology, mechanical and electrical services and facilities management
• Project management is preferred

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

Company’s Profile

Our client, a security solutions provider has been established for more than 25 years, with a strong reputation in the industry. They specialize in delivering comprehensive turn-key security systems, from design and integration to maintenance and support and serve clients in government, trade and commercial sectors. They are now looking for Data Center Technicians to join their expanding team!

Location: Lakeside / Admiralty

Working hours: Monday to Friday, Office Hours

Responsibilities:

• Oversee building and data centre facilities: recording and reporting on the BMS / EMS / Fire D&P / Chiller / Electrical etc
• Administrator for preventative maintenance programs to ensure that equipment are properly serviced & maintained
• Maintain good documentation of facilities and / or equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Respond to emergency situation and be on 24x7 standby duty
• Prepared to be on 24x7 standby recall to provide extra manpower coverage when necessary
• Be involved in new data centre projects as well as renovation and maintenance to existing space
• Responsible to handle site inspections / audits by external authority (eg. HDB/LTA/NEA/FSB)
• Scheduling and tracking of servicing jobs and vendor management on a day to day basis
• Maintain high customer service level standards
• Managed all facilities contracts

Requirements:

• Min. Diploma in Building / Facility Management or any other related field
• Some relevant experience in Data Centre facility management and vendor management is a good bonus
• Good knowledge in building technology, mechanical and electrical services and facilities management

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

Wealth Credit Management (WCM) is a newly formed business line to provide integrated end to end credit underwriting, transaction and portfolio management in partnership with origination businesses of the Private Bank and Wealth Management of Citi. The Data Management & Reporting team (DRT) is a critical team within WCM that is responsible for preparing Management and Control Reports, and performing deep-dive analysis on data to arrive at key portfolio trends and insights. The team serves as a primary contact for audits and data tracing examinations, as well as plays a critical role in representing the Loan Product and Transaction Management (LPTM) team in various control forums.

We are seeking an experienced professional to perform a Reporting & Analytics role within the APAC LPTM group within WCM. Due to the range of stakeholders, systems and dynamic processes involved, this is a demanding role that requires a high level of skill and judgment to prepare complex control metrics and portfolio analyses, assess data quality, remediate data issues and manage strategic projects in a timely manner and under deadline pressure. The position offers an opportunity to gain insight into the Wealth Lending business and interact with many areas across Wealth and other Citi organizations globally.

Key Responsibilities:

• Analyze and prepare time-sensitive key Control Reports, Portfolio Monitoring Reports, KRI/KPI metrics and presentations for WCM Portfolio managers and Product managers.
• Work with multiple teams, including Underwriting, Technology, Operations, Risk Management, Data Governance, Finance and Regulatory Reporting teams, to ensure reporting requirements are developed, implemented and executed as needed for WCM Wholesale and Retail portfolios.
• Coordinate data validations and aggregate information needed for regulatory reporting submissions, data quality processes and adhoc requests. Investigate, articulate and resolve data issues in a timely manner.
• Coordinate data requests for internal and external audits, regulatory examinations and data tracing exercises in conjunction with multiple stakeholders.
• Proactively identify opportunities to implement process improvements in an effort to continually streamline and standardize reporting and to optimize controls and efficiency.
• Work with Technology and Infrastructure teams on automating solutions, enhancing system functionalities, performing UATs and constructing complex dashboards using BI tools.
• Actively lead and participate in strategic projects, working groups and forums, and represent LPTM on reporting matters.
• Constructively contribute to the creation of new procedures, standards, controls and regulatory related protocols, and ensure processes and documentation are properly maintained.

Qualifications:

• In-depth knowledge of Wholesale and Retail Lending products and credit risk concepts.
• Expert track record in constructing insightful reports, dashboards and key metrics for senior management using advanced Excel and BI Reporting tools. Seasoned experience working with large, complex data sets.
• Experience leading strategic projects, such as remediation efforts and regulatory related initiatives, in a large financial institution.
• Proven ability in establishing and maintaining business line partnerships, involving collaboration with team members and senior management across various lines of business and across cross-functional groups. Strong influencing skills and ability to work in an environment where priorities are frequently changing.
• Highly developed analytical, problem-solving and decision-making capabilities including the ability to identify, escalate, propose and execute solutions to complex problems.
• Strong multi-tasking, organizational and time management skills with experience in continuously following up with various stakeholders and execution teams.
• Ability to take initiative, self-motivate and consistently demonstrate a results-driven mindset.
• Thorough understanding of data governance processes, lending rules and regulations (at the regional APAC level and global level) is a plus.

Education and Skills:

• Bachelor’s degree in Finance, Statistics or related quantitative field. Advanced degree preferred.
• Advanced skills in Excel, programming languages utilized in data analysis (Python / SQL / VBA), Powerpoint and Word is essential.
• Advanced skills in BI visualization and reporting tools (Tableau, COGNOS) is essential.
• Knowledge of statistical software tools and data analytics platforms (SAS, Alteryx) is highly desired.
• Excellent written and oral communication skills in English.
• Demonstrated leadership skills in building, developing and motivating teams.

We are seeking a Data Governance Specialist to support the Risk Management Group (RMG) Data Steward in managing Data Quality, Discoverability, Ownership, and Access. This role will be instrumental in driving data governance initiatives, ensuring data integrity, and fostering collaboration across cross-functional teams.

Key Responsibilities:

• Host regular RMG Data Quality forums and represent RMG at Group-level Data Issue meetings.
• Facilitate cross-department discussions to address and resolve data issues.
• Collaborate with RMG stakeholders to enhance data quality monitoring reports and processes.
• Participate in data ownership discussions and follow up on key action items.
• Assist in reviewing and setting up data access permissions for users.
• Drive data management reviews, including BCBS239 annual reviews.

Requirements:

• Degree in Business, Finance or any related discipline
• At least 3 years of experience in managing data issues, profiling, and implementing data quality improvements.
• Good knowledge of data quality principles and data governance best practices.
• Exceptional analytical, problem-solving, and decision-making abilities.
• Excellent communication skills to articulate complex data issues in a simplified manner.
• Ability to thrive in a fast-paced, high-intensity environment with minimal oversight.
• Demonstrated ability to independently drive initiatives and cross-functional collaborations.
• Proficiency in SQL and Python for data analysis and process optimization.

Interested candidates may send in their resume and cover letter directly to [email protected] (R1434374), stating the position as the subject title in the email.

Jireli Gem Mejia Cabria EA License No.: 02C3423 Personnel Registration No.: R1434374

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by ManpowerGroup Singapore for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012. To learn more about ManpowerGroup's Global Privacy Policy, please visit https://www.manpower.com.sg/privacy-policy

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

The Growth team plays a core role in acquisition, activation, and retention of billions of users, through our globally popular products such as TikTok, Resso, CapCut, Helo, etc. We are building platform foundation, leveraging data and ML models, and providing end-to-end solutions to power global growth of ByteDance products. Typical Growth projects including referral, notifications, paid ads, etc.

You will:

- Develop comprehensive product metrics and quantitative measurement structure based on product stages and business purposes.

- Prototype analysis pipelines to provide insights, and provide quick responses to business inquiries and events;

- Conduct routine and non-routine end-to-end analyses with large, complex data sets, and make recommendations on appropriate solutions;

- Cooperate with PM / Ops team / R&D, promote the implementation of optimization scheme, and bring about the actual improvement and growth of the business.

Qualifications

- Bachelor's degree or above in Statistics, Applied Mathematics, Computer Science or a related field

- 5+ years of working experience in Data Science, algorithmic engineering, or machine learning

- Proficient in SQL/Hive/Python or R, experienced in massive data manipulation, machine learning & modeling

- Strong technical leadership combined with hands-on data mining and machine learning application experience

- Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice

- Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems;

- Quickly familiar with and starting a new business; Can lead a small project team to support business

- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques

- Have a strong ability to work under pressure, have the courage to overcome difficulties, and accept challenges.

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

Permanent, 5 days, Serangoon.

Our Client:

Data center Cooling Solution Provider

Job Scope

• Together with technical engineer, to develop solutions based on client’s unique requirement.
• ·70% Hunter role and 30% farmer role to data center builder, consultant, owner.
• Manage the sales cycle from request for information (RFI) to closing
• · Proactively carry out prospecting activity in order to increase the sales opportunity

Requirement

• Degree in Mechanical/Electrical engineering
• 3 years’ experience in data centre cooling solution sales with good sales record
• Good network with data centre builder, consultant, owner

What’s on offer

· On target pay + car allowance ($600) + commission

· Stable Management

· Dynamic work environment

We're seeking a talented Data Analyst based in Singapore to analyze the media trend in the German market. You will leverage data analysis and market research techniques to uncover trends, identify opportunities, and inform strategic decision-making.

Job Description:

• Oversee the quality of ratings from external vendors and ensure accurate assessment of content relevance for German media.
• Generate detailed reports that analyze issues, patterns, and trends specific to German media content.
• Use data analysis tools (SQL, Python, Tableau) to identify insights and uncover relevance issues within query logs and metrics.
• Collaborate closely with statisticians, engineers, and data scientists to evaluate and refine search algorithms.

Requirements:

• BA/BS or equivalent industry experience in Business Administration, Business Analytics, or relevant.
• Experience data analysis tools such as SQL, Python, Tableau.
• Good knowledge of Large Learning Model (LLM) and Artiticial Intelligence (AI).
• Familiar with search and recommendations engines.
• Experience analyzing large data sets and generating reports.
• Able to read and write in German (min. ILCE German B2 CEFR or equivalent certifications) to read, analyze and write content in German .
• Good knowledge of German media such as music and movie industries is required to support the German market.
• Excellent analytical and problem-solving skills.
• Ability to work effectively with teams on multiple projects under tight deadlines.
• Willingness to be proactive in bringing new, innovative ideas to the table.

Job Purpose

• Owns the technology relationships up to CxO level & supports technology thought leadership.
• Being a member of the Architecture Committee in ONE to facilitate AC meetings with internal and external technical stakeholders and SMEs.
• Continuously improve the architecture of Data Analytics Platform for a global ocean shipping company.
• Drives research, case studies, and prototypes on leading-edge technologies and how they can be leveraged.
• Develops proof of concepts (POC’s) to evaluate new technologies and makes recommendations.
• Develops, enhances and enforces ONE system standards, best practices and guidelines.
• Designs and/or Proposes enhancements to improve the performance, availability and reliability of the cloud computing environment for Data Analytics Platform.
• Continuously monitor and improve Data Governance Process.
• Also improve the quality of the Data Analytics service from business users’ perspective.
• Any other ad hoc duties that is assigned by superivors

Primary Job Description

• Accountable for the system architecture of the enterprise-wide Data Analytics Platform.
• Work with internal and external system architects and technicians to keep the architecture of the Data Analytics Platform healthy and elastic.
• Manage the lifecycle of the Data Analytics Platform and maintain plans for the next 5 years.
• Proactively understand the demand from business users and factor them into the architecture enhancement plans.
• Monitor the system performance of the Data Analytics Platform to always meet the service levels.
• Keep the Data Analytics Platform stable and maximize the availability.
• Manage the Processes and Guidelines on Data Governance.

Position Qualifications and Experiences

Experience Requirements:

• Experience to design and implement a modern Data Analytics Platform in Google Cloud and similar BI experiences.

Technical Skills:

• Architect level technical knowledge of relational databases, DataLake and Google Cloud BigQuery
• Architect level technical knowledge of Looker and other BI Tools
• Administrator level knowledge of Collibra or other Data Governance Tool
• Proficiency in Python / Javascript.

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

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

Purpose of the Job

This position sits within the Regional Business Development Department ("RBDD”) based in Singapore in the Global Corporate and Investment Banking, Asia Pacific. We are looking for highly motivated personnel with strong leadership to be able to support VP Data Management & Support and deliver the overall GCIB APAC Analytics Operating Model and Strategy. The Analytics Centre of Excellence (CoE) team reports into the Head of RBDD in Singapore.

This is a key role within GCBDA RBDD. Based on where the best suited candidate is identified, the Company is happy to hire for this role in Singapore or Oceania

Job Description

• Translate business strategies into actionable business-oriented data management strategies for the assigned domain
• Manage new data initiatives and related projects by defining high-level business case; providing requirements and tracking and prioritizing data projects within domain
• Define standards for data within assigned domain across GCIB APAC
• Manage access and provisioning by defining access permission plan, monitoring distribution of data from the domain, approving data provisioning to authorized users, supporting data users as a SME (subject matter expert) of data in domain, negotiating Data Service Agreements and ensuring data access and provisioning comply with standards and controls
• Determine official sources of data in scope
• Define/Validate business definitions for data elements
• Review data lineage and technical metadata for data elements
• Identify need for changes in metadata within domain and implement changes to business definitions
• Define business rules for data within domain
• Prioritize issues to remediate and review and approve remediation plans
• Work with Technology, System teams, Operations to ensure end to end data flow is remediated to drive accurate data
• Oversee remediation of Data Quality issues
• Collaborate & influence a wide range of partners / stakeholders from technology, business owners as well as senior management.
• Develop, Design and deploy data pipelines to collect, process and integrate data from various sources into the APAC Datawarehouse (Alteryx or similar experience essential)
• Ensure pipelines are efficient and scalable
• Work closely with Technology to ensure current and future data integration efforts are delivered
• Transform raw data into usable formats for analysis and reporting (ETL)
• Ensure accuracy of data by implementing data validation rules
• Identify and execute an automation backlog to automate repetitive data processing tasks to increase efficiency and reduce errors
• Act as the data steward for GCIB APAC for all core banking system data
• Document all current and future processes
• Support division and department to drive improvement in the process and operational efficiency.
• Promote MUFG and team culture, and foster team collaboration

Job requirements

• Minimum Bachelor's degree.
• Minimum 5 years of experience in banking or consultancy with background in Data and reporting.
• Strong interpersonal and communication skills, ability to influence others.
• Strong project management leadership.
• Strong technical skills in Alteryx, Tableau, Power BI, Power Apps and ETL Processes.
• Ability to translate business requirements into technical requirements.
• Knowledge of the data sources, transformation rules, and uses of the data for the area of stewardship.
• Experience with data management and reconciling data across several sources.
• Ability to work under strict timelines and strong communication skills.
• Growth mindset. You seek out learning opportunities for yourself and the team.
• Willingness to problem-solve and hustle to find solutions (even if unconventional), positivity and possess a “can-do” attitude.
• Exceptional analytical skills to understand a diverse array of programs and complex end-to-end workflows.
• High level of resilience.

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

Job ID: 10068443

Job Summary

You will be working with our client in the public and financial sector. The ideal candidate must have strong data modelling and data analysis skills, and familiarity with scripting for automating tasks. The successful candidate will be part of the team that drives data and digital transformation within the development function. Responsibilities include working with partners to streamline processes and implement automation to improve efficiency and quality of output.

Responsibilities

• Analyse data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design, and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with partners to streamline processes and implement automation to improve efficiency and quality of output.
• Work with internal technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues.

Requirements

• Bachelor's Degree in Information Technolody, Computer Science or equivalent
• Strong data modelling and data analysis skills are a must.
• Strong experiences in scripting for automating tasks using Python.
• Hands-on experience of reporting or visualization tool like SAP BO and Tableau is important.
• Good understanding and completion of projects using waterfall/Agile methodology.
• Good understanding of analytics and data warehouse implementations.
• Hands-on experience in DevOps deployment, ETL tools like Informatica, and data virtualisation tools like Denodo will be an added advantage.

If you are interested in this role and would like to discuss the opportunity further please click apply now or email Chew Kai-Xinn at [email protected] for more information.

Only shortlisted candidates will be responded to, therefore if you do not receive a reply within 14 days please accept this as notification that you have not been shortlisted.

Morgan McKinley Talent Solutions

Morgan McKinley Pte Ltd EA Licence No: 11C5502

EAP Registration No: R2196712

EAP Name: Chew Kai-Xinn