Overview

As a Microsoft Data Center Project Manager (DCPM), you will perform trouble shooting for service incidents, manage assigned projects to meet service delivery objectives as well escalate to appropriate stakeholders to remove obstacles. You will also follow safety policies and procedures and participate in root cause analysis (RCA) of incidents. This job will allow you to build a solid understanding of data center procedures, engage in collarobation across various teams as well as provide mentorship across data centers by sharing best practices.

Microsoft’s Cloud Operations & Innovation (CO+I) is the engine that powers our cloud services. As a CO+I DCPM, you will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, OneDrive, and the Microsoft Azure platform. As a group, CO+I is focused on the personal and professional development for all employees and offers trainings and growth opportunities including Career Rotation Programs, Diversity & Inclusion trainings and events, and professional certifications.

Our infrastructure is comprised of a large global portfolio of more than 200 data centers in 32 countries and millions of servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide.

With environmental sustainability and optimization at the forefront of our data center design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Demonstrate conscientiousness on cost adheres to budget requirements; keep costs reasonable and contribute to staying within budget.
• Follow and adhere to safety and security policies and procedures. Report immediately any safety or security issues or concerns.
• Perform troubleshooting for service incidents and escalates, as appropriate, to meet SLA/OLAs, with minimal disruption to the client/customer and business.
• Recognize potential customer impact of other events and issues (e.g., customer lockdown), communicate potential impact, and plan for impact accordingly.
• Proactively review schedules and avoid conflicts when possible. Identify, coordinate, manage expectations, and offer alternatives when defining customer solutions.
• Manage relationships with clients and suppliers to ensure that all expectations are clarified, understood, documented, and met.
• Suggest ways for reducing the risk of performing maintenance; work with others to accommodate scheduling needs.
• In alignment with management priorities, hold self-accountable for the end-to-end service quality, completeness, and resulting customer experience (including but not limited to availability, safety, security, customer service). Support escalation of issues to appropriate owner.
• Embody our culture and values.

Qualifications

Required Qualifications:

High School Diploma or equivalent AND 1+ years industry experienceOR 2+ years industry experience and college course work.

Background Check Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

While not required, we also look for the following Preferred Qualifications:

• 2+ years’ experience in Critical Environment infrastructures (e.g., UPS, Generator, AHU) or working in physical IT infrastructures (e.g., Servers, SANs, Networking, Capacity, DC Rack/Enclosures, structured cabling).
• Technical College degree in Computer Science, Math, Telecommunications, Electrical/Mechanical Engineering, or related field.
• Applicable certifications: ASICS/Inventory Control, CompTIA, Microsoft, Network Certifications, PMP, ITIL, CDCP.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

We are seeking a Senior Data Engineer with 10+ years of experience in software development and expertise in Big Data technologies. The ideal candidate will work on designing, developing, and maintaining scalable data pipelines and analytics platforms to meet diverse business requirements.

Responsibilities:

Build and optimize large-scale data pipelines using Hadoop, Spark (Core, SQL, Streaming), and PySpark.

Manage and process structured and semi-structured data using Hive, Sqoop, Impala, and Kudu.

Develop and implement streaming data solutions with Apache Kafka.

Collaborate with cross-functional teams to understand technical requirements and implement data-driven solutions.

Perform data validation, quality checks, and recon reports to ensure high data accuracy.

Work on AWS services (S3, Glue, Athena) for cloud-based data workflows and analytics.

Translate legacy systems to open-source frameworks, leveraging technologies like Python and SQL.

Optimize performance and scalability for data processing and storage systems.

Utilize Java/J2EE, Hibernate, and Struts frameworks for backend application development.

Provide mentorship to team members and support in troubleshooting and debugging complex data issues.

Requirements:

Proficiency in Big Data ecosystems, Spark, Hadoop, and related technologies.

Strong experience with PySpark, data transformation, and aggregation techniques.

Hands-on with AWS services and cloud-native data pipelines.

Solid understanding of SQL, RDBMS, and data integration tools.

Expertise in Java/J2EE frameworks and application development.

Strong communication and problem-solving skills.

We are seeking a Senior Data Engineer with 10+ years of experience in software development and expertise in Big Data technologies. The ideal candidate will work on designing, developing, and maintaining scalable data pipelines and analytics platforms to meet diverse business requirements.

Responsibilities:

Build and optimize large-scale data pipelines using Hadoop, Spark (Core, SQL, Streaming), and PySpark.

Manage and process structured and semi-structured data using Hive, Sqoop, Impala, and Kudu.

Develop and implement streaming data solutions with Apache Kafka.

Collaborate with cross-functional teams to understand technical requirements and implement data-driven solutions.

Perform data validation, quality checks, and recon reports to ensure high data accuracy.

Work on AWS services (S3, Glue, Athena) for cloud-based data workflows and analytics.

Translate legacy systems to open-source frameworks, leveraging technologies like Python and SQL.

Optimize performance and scalability for data processing and storage systems.

Utilize Java/J2EE, Hibernate, and Struts frameworks for backend application development.

Provide mentorship to team members and support in troubleshooting and debugging complex data issues.

Requirements:

Proficiency in Big Data ecosystems, Spark, Hadoop, and related technologies.

Strong experience with PySpark, data transformation, and aggregation techniques.

Hands-on with AWS services and cloud-native data pipelines.

Solid understanding of SQL, RDBMS, and data integration tools.

Expertise in Java/J2EE frameworks and application development.

Strong communication and problem-solving skills.

Responsible for collecting, organizing, and analysing data to support business decisions. The Data Specialist will work closely with various departments regionally to ensure data integrity and accuracy, as well as assist in developing reporting tools and dashboards.

Job Functions

• Assist in developing data-driven solutions in the region to enhance operational efficiency.
• Support business users for processes improvement with data scientific approach.
• Analyze user requirements and execute actions to improve business operations.
• Collaborate with team members for the purpose of collecting data and executing the company’s mission
• Train business users to promote data utilization in the region.

Knowledge and Skills

• 3 years increasingly responsible professional experience in supporting/managing complex data utilization in Data scientific field.
• Possess a Diploma or above
• Microsoft Certified: Azure Fundamentals
• Microsoft Certified: Power BI Data Analyst Associate
• Strong verbal, written communication and interpersonal skills
• Strong attention to detail with a problem-solving skill
• Excellent time management skills and ability to multi-task and prioritized work
• Customer centric mindset
• Self-motivated team player skills
• Experience of Power BI report design
• Experience of API with data lake such as MS Azure
• Experience of business process improvement with data scientific approach
• Experience in data governance and data security.
• Understanding of ERP data in sales activities (e.g SAP S/4 HANA SD, MM, FICO, CS)
• Understanding of CRM data (e.g SAP C/4 HANA)
• Basic computer skills such as MS Word, Excel, Email.
• Project management experiences and knowledge
• Business level Japanese proficiency to communicate with BI development team in Japan.

ROLES AND REPONSIBILITIES

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS along with Databricks' Delta Lake.

• Integrate Informatica IDMC for metadata management and data cataloging.

• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

REQUIREMENTS

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.

• Minimum 5-7 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

• Hands on data migration (e.g. code migration from Information Power Center on premises to cloud version, data migration from Teradata/Oracle/PostgreSQL to Databricks)

• Proficiency in programming languages such as Python or Java for building data pipelines.

• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• AWS certifications (e.g., AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus

Internal ref: S

Regards,

Lini

Recruitment Consultant

R22108463

• Well Established Organization
• Basic $2000 - $2600 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Bishan
• Working hours: 9.00am to 6.30pm (Tuesday to Saturday)

Responsibilities:

• Responsible for administrative matters
• Required to perform front-line customer service tasks such as answering enquiries and following up with email correspondences, etc.
• Co-ordinates, receives and monitors applications for courses, projects and activities at the Area level.
• Prepare claims submission documents for courses, activities, and events and monitor related expenditure.
• Sources for vendors in accordance with the needs of related courses, projects, events and activities assigned budget and prepares Call for Quotations where necessary.
• Supports activities and events as needed.
• Monitor and update office supplies and inventories.
• Submits monthly reports
• Any other duties assigned

Requirements:

• Possess experience in admin related role
• Physically active and interested in outdoor activities (need to organised/participate in outdoor activities)

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

NG JYA YEE (R23119014)

EA Recruitment Pte Ltd

EA License No: 21C0492

RESPONSIBILITIES:

Handle end-to-end work pass applications, renewals, and cancellations, ensuring compliance with MOM regulations.

Handle recruitment

Maintain accurate records of work pass statuses and related correspondence.

Manage employee records in HR systems, ensuring data accuracy and confidentiality.

Assist with recruitment processes, including job postings, interview scheduling, and onboarding.

Support performance review cycles, training coordination, and HR projects.

Provide administrative support to ensure smooth office operations.

REQUIREMENTS:

Diploma or degree in Human Resource Management or a related field.

Proven experience in HR administration, including work pass applications.

Strong understanding of MOM regulations and Singapore employment laws.

Excellent organizational and time management skills.

Proficiency in Microsoft Office Suite and HR software.

Good communication and interpersonal skills.

RESPONSIBILITIES:

Handle end-to-end work pass applications, renewals, and cancellations, ensuring compliance with MOM regulations.

Handle recruitment

Maintain accurate records of work pass statuses and related correspondence.

Manage employee records in HR systems, ensuring data accuracy and confidentiality.

Assist with recruitment processes, including job postings, interview scheduling, and onboarding.

Support performance review cycles, training coordination, and HR projects.

Provide administrative support to ensure smooth office operations.

REQUIREMENTS:

Diploma or degree in Human Resource Management or a related field.

Proven experience in HR administration, including work pass applications.

Strong understanding of MOM regulations and Singapore employment laws.

Excellent organizational and time management skills.

Proficiency in Microsoft Office Suite and HR software.

Good communication and interpersonal skills.

Job description

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

Qualifications

Job responsibilities

• Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of Machine Learning (ML) and statistics.
• Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem and own the development of modeling framework.
• Engage stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
• Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied Data Science team, employing methods which create opportunities for scale, proactively helping to drive innovation.

Minimum qualifications

• Bachelor's degree, or equivalent practical experience.
• 1 year of experience in a Data Science field.

Preferred qualifications

• Master's degree in Statistics, Mathematics, Bioinformatics, Economics, another quantitative field, or equivalent practical experience.
• Experience with data extraction and modeling tools (SQL, Python).
• Experience delivering insights from AI/ML and statistical solutions to clients, including problem scoping/definition, modeling and interpretation.
• Experience with statistical software (such as Python, R or MATLAB) and database languages (such as SQL) with understanding of Artificial Intelligence/Machine Learning (AI/ML).
• Understanding of the statistical algorithms typically used in Marketing Analytics.

Responsibilities:

The incumbent is responsible for the claims processing, which includes but not limited to:

· Assist in the claims processing including outpatient and inpatient claims

· Provide customer service to service providers and client

· Ensure accurate reimbursement to employees/service providers on timely manner

· Data entry and adjudication of outpatient and inpatient benefit claims

· Assist in answering phone calls and email enquiries from service providers, corporate HR and employees

· Respond to enquiries and complaints

· Provide support to resolve problems

· Ensure accurate reimbursement to employees/service providers on timely manner.

· Verify that claims are processed and reimbursed according to clients’ requirements and policy

· Prepare letter/emails of rejected claims

· Assist with preparation of explanation of benefits letters

Requirements:

· Minimum GCE O Level

· 1-3 years of work experience, preferably in healthcare industry

· Proficient in MS office

· Excellent Customer Service skill

· Meticulous with keen attention to details

· Excellent communication skill

· A Resourceful individual who can work independently and is also a team player

· Ability to multi-task and prioritise work

Job Description & Requirements

Responsibilities:

Work with group companies to collect, clean, and preprocess datasets to ensure data quality and reliability

Conduct exploratory data analysis to identify patterns, trends, and anomalies

Ability to data manipulation and apply statistical methods to transform data into actionable insights for business stakeholders (familiar with regression and time series analysis)

Interpret and communicate findings to non-technical stakeholders through reports, BI dashboards, and presentations

Automate existing recurring reports and analyses

Design and develop the data architecture for BI solutions

Build data pipelines where necessary for the development of visualization solutions.

Experience:

Minimum of 2-3 years of experience in data analysis, preferably in the Oil & Gas, Marine, or Construction industry.

Experience working on large-scale projects (e.g., $100 million+), particularly in analyzing project performance data.

familiarity with Power BI for data visualization.

Skill:

Proficient in statistical software and data analysis tools (e.g., Python, R, SQL).

Advanced skills in Microsoft Excel, including macros and complex data functions.

Strong experience with data visualization tools (e.g., Power BI, Tableau) to track KPIs and report insights.

Ability to handle large datasets, interpret trends, and provide actionable insights

Roles & Responsibilities:

1. Manage executive's schedule, appointments, and travel arrangements.

2. Coordinate meetings, events, and conferences.

3. Prepare and edit correspondence, reports, and presentations.

4. Develop and implement administrative processes and systems.

5. Maintain confidential and sensitive information.

6. Track and report expenses.

7. Conduct research and data analysis.

8. Preparing documentation for ISO documentation Flow Process, SOP and WI

9. Control Inventory and asset

Requirements:

- Min 3 years relevant experience in administrative job scope

- Experience working in a lab setting or document control is an advantage

- Experience working in Excel is an advantage

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:

- Ensure customer satisfaction

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

What will you do?

• Collaborates closely with all business and finance disciplines and all data offices globally
• Update monthly score ratings based on KPIs and indicators and design dashboards to drive the close of quality gaps in data for all domains
• Highlight non-performance KPIs and execute change management to close the gaps
• In charge of monitoring the governance and maintenance of golden rules and master data especially in those areas which have transitioned from adoption to run mode and highlight gaps
• Drive gap analysis and identify areas for improvements and suggest workarounds to continually improve the standard of our data and process governance and maintenance programs within the territory through automation and AI initiatives
• Operationalise Quality, Risk and Privacy Frameworks designed by Data Office
• Management of Data Mart and RDOs with close collaboration with Business Analytics Team
• Manage Data office KICS
• Maintain Data Office Sharepoint
• Any other projects assigned by the Data Officer

What qualifications will make you successful for this role?

• Minimum 7 years working experience preferably in a multi-national environment
• Degree in Finance, Marketing, Engineering, Computer Science, Data Analytics
• Experience in Finance
• Knowledge on Tableau, Python, Advanced Excel is required
• Ability to independently manage stakeholders and global on data quality gaps, issue resolutions and automation projects
• Informatica, Power Apps and VBA knowledge will be high valued
• Data savvy
• Strong business engagement acuity
• Knowledge of master data principles and best practices
• Understanding of how master data is used in downstream systems/processes
• Ability to demonstrate teamwork
• Strong communication skills and ability to work in a matrix environment
• Ability to identify gaps in data processes/workflows and drive transformation at territory
• Ability to understand business needs close the gap with Digital Team

PURPOSE

• To support the refreshed Digital Strategy focusing on GenAI, AI and Modern Data Platform, a senior data strategy and monetization leader is strongly needed to help enterprise-wide stakeholders make smarter business decisions, leveraging data and insights, fostering internal communication networks, and drive data & AI adoption and monetization.
• Lead the insights center of excellence (COE) and serve as a central resource to FWD all BUs. He/she utilizes the storytelling and leadership communication skills that are core to the role while adding capabilities to find insights in analytical and operational data as well as technical skills around Data Science & AI, Business Intelligence, and the modern data platform such as Data Mesh.
• Lead group data strategy and operation design and new data initiative planning to make FWD data strategy stay the leading edge in insurance industry
• Strong understanding of team’s processes to be the data champion for Group Data to drive the adoption of their data solutions, articulate the business benefit, get stronger buy-in from business stakeholders and provide strategy direction and business feedback.
• Drive group wide data literacy and transformation to embed AI everywhere along customer, distribution and employee journey

KEY ACCOUNTAIBILITIES

• Drive Smart Insurance Monetization to increase new VNB, improve customer experience and achieve operational excellence.
• Work with Group Strategy and BU to define VNB target for data monetization
• Drive Data Monetization execution by providing Subject Matter Expert recommendations
• Embed with stakeholder teams to understand where their business focuses are and why, what key decisions they make, how they make, and how data insights can seamlessly plug in to their business strategy as well as existing processes to maximize adoption of insights-driven decision-making.
• Observe and translate stakeholder data behaviors to technical teams (e.g., data engineering, data governance) to implement standards and processes that best fit existing ways of working
• Engage stakeholders to turn their business questions into testable hypotheses. Help prioritize needs and translate requirements for technology, analytics, and data science teams.
• Utilize AI and data visualization techniques to interpret and communicate complex data in a clear and accessible manner.
• Present insights to diverse teams inside and outside the organization applying data storytelling best practices and tailoring the message for the audience (e.g., leaders, line of business decision-makers, technical teams Get their buy-in and agree to implement.
• Produce statistics to measure product, process, and project outcomes, including benchmark metrics measuring communication processes. Conduct project debriefs, and ensure learning is incorporated for future projects and process improvement.
• Own, plan, and execute enterprise-wide data literacy and data storytelling education, serving users of different seniority, skill levels, and needs.
• Manage GO data strategy and operations

QUALIFICATIONS / EXPERIENCE

• Bachelors or Masters in Computer Science, MBA, Economics, Communications or related fields
• 15+ years of experience in a major financial or consultant organization, with large-scale data or similar program management experience.
• At least 5 years in a management role, with board level change or transformation leadership experience.
• Well versed with industry trends
• Advanced communications, marketing, or journalism experience.
• Good experience using business intelligence tools and data visualization best practices.
• With experience for data and AI monetization

KNOWLEDGE & TECHNICAL SKILLS

• Data strategy design in line with group overall strategic directions
• Data literacy concepts (able to explain descriptive, diagnostic, predictive, and prescriptive analytics as well as common use cases)
• Data Monetization Leadership skills
• Data storytelling best practices
• Data visualization best practices
• Content creation and knowledge management best practices
• Qualitative research methodologies
• Quantitative analytical methodologies
• Data storytelling methods and best practices
• Design thinking, creation of user stories
• Workshop facilitation
• Deep understanding on FWD BU’s business and their strategic directions, able to translate group-level data strategy to adopt to local’s situation
• Good communication skills, able to gain other’s trust and extract business insights from various angles and translate into effective user requirements for data team to process and develop

Bookkeeper Clinic assistant

• 5.5 Days
• 8.30am to 5.30pm / 8.30am to 1pm
• S$ 2,200 to 2,500
• Location: Orchard

Job Scope:

• Maintain & Manage records, Filing, Key in data
• Answering calls, Cashiering, Dispensing of medications
• Maintain hygienic environment, ensure patient safety

Job Requirements:

• Minimum O levels is required