2. Position Title: Senior Data Engineer

Experience Required: 5-10 Years

Position Summary:
We are seeking an experienced Senior Data Engineer with 5 to 10 years of hands-on experience in building and managing data pipelines and big data infrastructure. The ideal candidate will have a strong technical background in data engineering tools, big data ecosystems, and programming languages. This role focuses on designing, implementing, and optimizing complex data workflows using Apache Airflow, Apache NiFi, Kafka, PySpark, Spark Scala, and other key technologies. Candidates with proficiency in Python, Java, and shell scripting are highly preferred.

Key Responsibilities:

• Data Pipeline Design & Management:
  Design, build, and maintain scalable and reliable data pipelines to support both real-time and batch processing requirements.
• Workflow Optimization & Monitoring:
  Manage, monitor, and optimize workflows in Apache Airflow to ensure data quality, integrity, and system performance.
• Data Integration:
  Develop and integrate data flows using Apache NiFi to ensure seamless data ingestion and transformation processes.
• Real-Time Data Streaming:
  Work extensively with Apache Kafka for data streaming and messaging across various data sources.
• Data Processing Solutions:
  Implement data processing solutions using PySpark and Spark Scala to handle large-scale datasets and complex transformations.
• Automation & Scripting:
  Write efficient code in Python and Java to automate data workflows and support data engineering needs, utilizing shell scripting for operational tasks.
• Cross-functional Collaboration:
  Collaborate with cross-functional teams to understand data requirements and provide optimized engineering solutions.
• Data Security & Compliance:
  Ensure data security, compliance, and performance by following best practices in big data and distributed systems.
• Continuous Improvement:
  Continuously improve the performance, scalability, and reliability of data processing pipelines.

Required Skills and Experience:

• Apache Airflow:
  Extensive experience in managing, scheduling, and monitoring data pipelines.
• Apache NiFi:
  Strong experience in designing data flows for ingestion and transformation.
• Apache Kafka:
  In-depth knowledge of Kafka for real-time data streaming and messaging systems.
• PySpark & Spark Scala:
  Proficiency in using PySpark and Spark Scala for large-scale data processing.
• Programming Languages:
  Strong experience with Python and Java, with additional expertise in shell scripting.
• Big Data Knowledge:
  Familiarity with big data ecosystems and distributed data processing.
• Problem-Solving & Teamwork:
  Ability to work independently and collaboratively in a fast-paced environment, solving complex data engineering challenges.

Educational Qualifications:

• Required:
  Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.

Preferred Qualifications:

• Cloud Experience:
  Experience in cloud environments (AWS, GCP, Azure) with big data components.
• Version Control & CI/CD:
  Experience with version control tools (e.g., Git) and CI/CD practices in data engineering.
• Analytical & Communication Skills:
  Strong analytical, problem-solving, and communication skills.

• Extract and clean the data from various data sources to generate daily, weekly and monthly reports.
• Writing SQL queries to retrieve information quickly.
• Fulfil ad-hoc data request from client and management.
• Work / Collaborate with Developer(s) to automate reports
• Liaise with client on data related queries
• Analyze contact center performance metrics, including call volume, response times, and customer satisfaction scores.
• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).
• Identify trends and patterns in data to inform operational improvements and strategy.
• Collaborate with management and other departments to develop actionable insights and recommendations.
• Support the implementation of process improvements based on data findings.
• Ensure data integrity and accuracy.
• Assist in forecasting demand and capacity planning based on historical data trends.
• Stay updated on industry best practices and emerging technologies in data analysis.
• Perform other duties and responsibilities that may be assigned to you by the management within your category of employment.

Qualifications and Skills:
• Minimum Bachelors in Business, Computer Science, Mathematics, Data Analytics, or a related field.
• At least 1 to 3 year of experience building reports using Excel, SQL AWS Quick sight or any other business intelligence and data analytics tools.
• Proficiency in data analysis tools (e.g., Excel, SQL, Python) and data visualization software (e.g., Tableau, Power BI).
• Proven experience in data analysis, preferably in a contact center environment.
• Strong communication and presentation skills
• Proactive and able to work independently with minimum supervision.
• Excellent time management with strong critical thinking and ability to handle pressure.
• Detail-oriented with a strong focus on accuracy and data integrity.
• Familiarity with statistical analysis and modeling.

ideally candidates who have contact center experience

working location at Suntec

Working Location: Central

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Gather and compile data from diverse sources, including databases, surveys, and reports, to create a comprehensive view of performance
• Analyze data to identify trends, patterns, and insights that inform strategic initiatives
• Utilize statistical tools and software to interpret complex datasets and deliver clear findings
• Prepare and present insightful reports based on data analysis to stakeholders at all levels
• Create compelling visualizations, charts, and graphs to effectively illustrate key findings and support decision-making
• Provide actionable insights and recommendations that enhance business performance and drive growth
• Collaborate with various departments to understand their data needs and ensure alignment with organizational goals
• Work closely with team members to enhance data collection methods and improve overall analysis processes
• Support ongoing projects by delivering data-driven insights that inform strategies and initiatives
• Stay updated on industry trends and best practices to continually enhance analytical techniques and tools

JOB REQUIREMENTS

• Diploma in Business, Finance, or a related field
• Strong analytical and problem-solving skills
• Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint)
• Basic knowledge of data analysis tools (e.g., SQL, Python, R) is a plus
• Good communication and presentation skills

EA Reg. Number: R21100629

EA License Number: 22C1278

Responsibilities

· Provide administrative support to the Department.

· Coordinate department and project activities, and prepare documents required

· Manage administrative and operational duties like scheduling, arranging and facilitating meetings

· Proper documentation of records

· Management of department’s inventory and equipment

Requirements

· GCE ‘N’ / ‘O’ / ‘A’ Levels or Diploma Holders

· Good organisational and administrative skills

· Good interpersonal, verbal and written communication skills

· Proficient in Microsoft Outlook, Word and Excel

· Good team player, have an eye for details and ability to multi-task

If you are interested in the position, do kindly drop your most updated resume to [email protected]

Esther Lim Suk Hui

R1872808

Recruit Express Pte Ltd (Healthcare & Lifesciences Division)

EA License: 99C4599

Zenith Infotech (S) is a Tech Recruitment firm with 27 years of experience in Singapore, supporrting clients in terms of ICT Consultant placments.

Currently we are looking out for a Data Analyst with 3 years of experience, best working in Contact Center enviornment before or presently.

Responsibilities :

• Extract and clean the data from various data sources to generate daily, weekly and monthly reports.

• Writing SQL queries to retrieve information quickly.

• Fulfil ad-hoc data request from client and management.

• Work / Collaborate with Developer(s) to automate reports

• Liaise with client on data related queries

• Analyze contact center performance metrics, including call volume, response times, and customer satisfaction scores.

• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).

• Identify trends and patterns in data to inform operational improvements and strategy.

• Collaborate with management and other departments to develop actionable insights and recommendations.

• Support the implementation of process improvements based on data findings.

• Ensure data integrity and accuracy.

• Assist in forecasting demand and capacity planning based on historical data trends.

• Stay updated on industry best practices and emerging technologies in data analysis.

• Perform other duties and responsibilities that may be assigned to you by the management within your category of employment.

Qualifications and Skills:

• Minimum Bachelors in Business, Computer Science, Mathematics, Data Analytics, or a related field.

• At least 1 to 3 years of experience building reports using Excel, SQL AWS Quick sight or any other business intelligence and data analytics tools.

• Proficiency in data analysis tools (e.g., Excel, SQL, Python) and data visualization software (e.g., Tableau, Power BI).

• Proven experience in data analysis, preferably in a contact center environment.

• Strong communication and presentation skills

• Proactive and able to work independently with minimum supervision.

• Excellent time management with strong critical thinking and ability to handle pressure.

• Detail-oriented with a strong focus on accuracy and data integrity.

• Familiarity with statistical analysis and modeling.

Job Purpose

The Customer Analytics, Reporting and BI team manages data projects, data pipeline and data analytics to maximize the potential of data, uncovering valuable business insights for Group Customer and Digital Division. Leveraging advanced data analytics and visualization, the team enables senior stakeholder to interpret the story behind the number, driving more informed strategies and initiatives.

The Senior Analyst (Data Analytics & Visualisation) plays a pivotal role in managing and enhancing the data analytics assets, which are used to monitor business performance, identify business opportunity and enable data-driven business decision. This role collaborates closely with key stakeholders across multiple departments to apply advanced analytics to generate value-creating insights from big data. The ideal candidate is passionate about creating business impact by using their data expertise and industry experience.

The Job

· Design, build and enhance data analytics assets to ensure relevance and continued usage of the analytics and business intelligence by business users for making informed decisions.

· Support the build of contextual data marts to advance the scalability and reusability of visual and advanced analytics assets.

· Collaborate with business and Group Data independently to manage the entire dashboard development cycle - from gathering and proposing business requirement, designing dataflow and data structure, to developing dashboard and managing the schedule of release.

· Support ad-hoc data analytics and periodic reporting requests.

· Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.

· Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.

· Highlights any potential concerns /risks and proactively shares best risk management practices.

Our Requirements

· BS in Business Analytics, Statistics, Economics, Actuarial Science or equivalent disciplines that focuses on extensive use of data for analysis.

· At least 5 years of experience in managing and delivering multiple requirements for business intelligence and analytics as an individual contributor.

· Proficient in traditional and modern data programming language (e.g. Phyton, SQL, Hive, and PySpark) and data visualization tools (e.g. Tableau).

· Practical knowledge of big data ETL framework and experience dealing with complex data structure.

· Strong business acumen and communication skill; able to bridge the communication between technical and business domains.

· A problem-solver, initiative-taker who can work independently and responsibly with minimal supervision.

· Ability to manage and prioritize requests and tasks while being goal-oriented

· Experience in performing/interpretating advanced analytics (e.g. Statistical or ML-based) is a plus.

· Experience in insurance or financial services industry is a plus.

· High level of integrity, takes accountability of work and good attitude over teamwork.

· Takes initiative to improve current state of things and adaptable to embrace new changes.

About Great Eastern

Established in 1908, Great Eastern places customers at the heart of everything we do. Our legacy extends beyond our products and services to our culture, which is defined by our core values and how we work. As champions of Integrity, Initiative and Involvement, our core values act as a compass, guiding and inspiring us to embrace the behaviours associated with each value, upholding our promise to our customers - to continue doing our best for them in a sustainable manner.

We work collaboratively with our stakeholders to look for candidates who exhibit or have the potential to embrace our core values and associated behaviours, as these are the key traits that we expect from our employees as they develop their careers with us.

We embrace inclusivity, giving all employees an equal opportunity to shine and play their role in exploring possibilities to deliver innovative insurance solutions.

Since 2018, Great Eastern has been a signatory to the United Nations (UN) Principles of Sustainable Insurance. Our sustainability approach around environmental, social, and governance (ESG) considerations play a key role in every business decision we make. We are committed to being a sustainability-driven company to achieve a low-carbon economy by managing the environmental footprint of our operations and incorporating ESG considerations in our investment portfolios; improving people’s lives by actively helping customers live healthier, better and longer; and drive responsible business practices through material ESG risk management.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

About ByteDance

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

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About The Team

The batch processing team is responsible for the company's offline data processing and distributed training, supporting various business scenarios such as offline ETL and machine learning within the company. The components involved include the offline computing engine Spark, the in-house distributed training framework Primus, feature storage solutions like Iceberg and Hudi, as well as Ray, a next-generation distributed application framework. Faced with massive-scale scenarios, extensive functional and performance optimizations have been carried out in Spark, Primus, Feature Store, and support for the adoption of the new-generation distributed application framework Ray in relevant company scenarios.

What you will be doing:

- Responsible for the development and performance optimisation of the in-house Feature Store functionality based on Iceberg;

- Participant in optimisation of the integration of Iceberg with various upper-level computing engines;

- Involve in platform-related infrastructure development.

Qualifications

Minimum Qualifications

- Bachelor's Degree or above, majoring in Computer Science, or related fields, with 2+ years of relevant development experience in the field with a strong programming ability, and proficiency in Java, Python, C++, with the ability to develop and optimize large-scale distributed systems.

- In-depth research and relevant experience in one or more data lake formats such as Delta, Hudi, or Iceberg.

Preferred Qualifications

- In-depth research or practical experience in open-source big data computing frameworks and scenarios like Hadoop, Spark, Flink, Presto, and more.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and 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.

About ByteDance

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

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About The Team

The batch processing team is responsible for the company's offline data processing and distributed training, supporting various business scenarios such as offline ETL and machine learning within the company. The components involved include the offline computing engine Spark, the in-house distributed training framework Primus, feature storage solutions like Iceberg and Hudi, as well as Ray, a next-generation distributed application framework. Faced with massive-scale scenarios, extensive functional and performance optimizations have been carried out in Spark, Primus, Feature Store, and support for the adoption of the new-generation distributed application framework Ray in relevant company scenarios.

What you will be doing:

- Responsible for the development and performance optimisation of the in-house Feature Store functionality based on Iceberg;

- Participant in optimisation of the integration of Iceberg with various upper-level computing engines;

- Involve in platform-related infrastructure development.

Qualifications

Minimum Qualifications

- Bachelor's Degree or above, majoring in Computer Science, or related fields, with 4+ years of relevant development experience in the field with a strong programming ability, and proficiency in Java, Python, C++, with the ability to develop and optimize large-scale distributed systems.

- In-depth research and relevant experience in one or more data lake formats such as Delta, Hudi, or Iceberg.

Preferred Qualifications

- In-depth research or practical experience in open-source big data computing frameworks and scenarios like Hadoop, Spark, Flink, Presto, and more.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and 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.

iNova was certified as a Best Place to Work in 2021. We are innovative, motivated, and passionately solution focused to support our customers in leading a healthy lifestyle. Join the team to experience the reasons why people love working for us!

The Opportunity

We currently have an opportunity for a Data Governance & Data Quality Engineer to join our Group Technology Team in Singapore.

Reporting to the Head of IT Strategy, Architecture & Governance, the Data Governance and Data Quality Engineer is responsible for designing, implementing, and maintaining data governance and data quality frameworks across the organization.

The engineer will work closely with stakeholders across the business to implement data quality best practices and ensure adherence to data governance policies.

This role will involve establishing processes and tools, such as Collibra, Informatica, or Ataccama, to ensure data quality, compliance, and integrity for structured and unstructured data, including data stored in Snowflake, Microsoft SharePoint, and OneDrive.

Key Responsibilities

Data Quality and Governance:

• Develop and implement data quality and governance frameworks, policies, and standards to ensure data accuracy, completeness, and consistency.
• Define data quality and governance metrics and implement monitoring processes to track the health of data across various platforms.
• Implement and maintain Data Quality and Governance tools such as Collibra, Informatica, Purview or Ataccama to effect and monitor data quality and governance rules.
• Ensure compliance with data governance standards across all data sources, both structured (Snowflake, SQL databases) and unstructured (SharePoint, OneDrive).
• Collaborate with IT teams to ensure seamless implementation of data governance tools and integration with existing data architecture.
• Establish data stewardship models and workflows within governance tools, enabling business users to participate in data quality monitoring and issue resolution.
• Design and automate data quality checks and data profiling processes to identify and resolve data quality issues proactively.
• Work closely with data owners and stakeholders to resolve data quality issues and ensure alignment with business objectives.

Collaboration and Stakeholder Management:

• Partner with business and technical teams to understand data requirements and ensure data governance and quality processes meet business needs.
• Serve as a subject matter expert on data quality tools and processes, providing guidance and training to stakeholders across the organization.
• Collaborate with IT, Legal, Compliance, and other teams to ensure data governance policies adhere to regulatory requirements.

Documentation and Compliance:

• Develop and maintain comprehensive documentation of data governance policies, data quality standards, and processes.
• Ensure that data governance tools and practices align with industry best practices and organizational compliance requirements.
• Support audits and data reviews by providing evidence of data quality processes and governance adherence.
• Previous experience with CSV and GxP requirements would be a plus.

About You

To be successful in this role, you will possess a Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related discipline, with minimum 5 years of experience in data governance, data quality management, and data architecture.

Other key requirements for this role include:

• Extensive experience implementing and managing data governance and quality tools (e.g., Collibra, Informatica, Ataccama, Purview).
• Proven experience integrating data quality tools with data warehouses, particularly Snowflake, and unstructured data systems (e.g., SharePoint, OneDrive).
• Experience with data governance in cloud environments, particularly within the Microsoft ecosystem (Azure, SharePoint, OneDrive).
• Some experience with Snowflake, and Microsoft data management tools, including Azure Data Factory, Power BI, and SQL Server would be a plus.
• Some experience in building/incorporating Data Quality / Data Governance metrics into PowerBI dashboards.
• Familiarity with scripting languages like Python, SQL, or PowerShell for data automation and quality checks.
• Effective Communication Skills (Written & Verbal).
• Personal accountability for outcomes and providing high-quality service to business users
• A strong work ethic and a well-organized self-starter.
• Optimistic “can do” personality.
• Be open to change and willing to learn new skills.
• An ability to follow up on pending issues and meet deadlines.

Additional Requirements / Working Conditions

• Adhere to company values at all times

The Company

iNova is a different kind of health company. We are leading the way to better health by delivering innovative, patient-centric products that improve the lives of people around the world. Our diverse portfolio of iconic, market-leading consumer health brands and prescription medicines are backed by science and distributed in over 75 markets across Asia, Australia, New Zealand, Middle East & Africa and Europe. Experience the iNova difference today.

If you wish to be part of an energetic team within a thriving organisation, focused on bringing innovative products to market, please APPLY TODAY! We want you to join us in our pursuit of healthy living!

• Leading Asset Management Company
• Vibrant Working Environment
• AWS + Performance Bonus

Responsibilities:

• Support strategic business plans to enhance and increase portfolio income.
• Establish long term business relationships to maximize occupancy and yield of portfolio.
• Achieve competitive optimal rent and lease terms in the securing/renewing tenants.
• Maintain relationship with tenants while ensuring tenants fulfilment of obligations (including timely rental payments, managing tenants feedbacks and complaints, queries on building maintenance and/or property tax matters.)
• Establish good working relationships with shareholders representatives and various consultants including lawyers, QP, surveyors and real estate consultants.

Requirements:

• Degree in Real Estate/Building/Estate Management
• No experience needed (Training provided)
• Well-conversant with Microsoft Office software applications especially with Microsoft Word, Excel, Powerpoint and Outlook.
• Great personality and good interpersonal skills.

Working Location: Raffles Place

Working Hours: Mon- Fri 8.30am - 6.00pm

To apply, please submit your detailed CV with the following details for faster processing:

• Reason for leaving
• Expected salary
• Earliest availability date

We regret that only short-listed candidates will be contacted shortly.

5 days | Mon - Fri | Central Area

Responsibilities & Duties

Account

• Maintaining accounting and related records (HongKong , Korea, UK,

Netherlands, Germany etc.)

• Completing the periodic and annual audit

• Ensure payments are checked, verified, authorised and approved

• Timely preparation and closing of accounts

• Support and advise project team on financial & accounting matters

• Review and implementation of accounting procedures and policies

Admin

• Manage general communication such as post, deliveries, couriers, etc.

• Manage supply of stationery and other office supplies

• Coordinate the travel arrangements for office on their travel arrangements

and logistics (bookings, visa applications, invitations letters)

Tee Xin Li Reg No: R24121619
The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Senior Data Engineer ( Informatica and Azure Data Factory)

Job Requirement:

• Data Engineers with experience in Informatica, Azure Data Factory, Databricks, or 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 ETL 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)

Hey Hey! Are you seeking an opportunity that helps you improve and grow your personality?

Our company is expanding!!

We are looking for an enthusiastic Junior Events Marketing to join our growing team. We provide development on personal growth, communication skills and we never fail to see teammates walking in and out of the office smiling. :)

Responsibilities:

-Meet and exceed sales targets by effectively managing the sales cycle from lead qualification to closing deals.

-Drive customer acquisition through face-to-face interaction

-Assisting in the expansion of our organizational growth (locally and regionally)

What do we want from you?

-No experience? Fear not, 1-1 mentorship and guidance are provided!

-Keen learning attitude and enjoy interacting with new people

-Hunger for personal development and progress

-Team player

Benefits:

-Opportunity to work in multiple projects

-Attractive Performance Incentives

-Overseas Travelling Opportunities

-Fun Environment

-Team bonding activities

Summary of role requirements:

-No experience required for this role

-Working rights required for this role

-No experience required for this role

-Expected salary: $3000-$5000 per month

We regret to inform you that only shortlisted candidate will be notified.

Join us today!

Data Scientist to address immediate project needs and align to our broader strategy of developing a skilled, adaptive, and future-ready workforce. This role focuses on developing our data capabilities, supporting current and future organisational goals.

Job Role:

Support for Ongoing Projects: Assist in data collection, analysis, and preliminary insights to support project timelines and maintain momentum on strategic initiatives.

Scalability of Data Operations To handle routine tasks like data preprocessing, exploratory analysis, and report generation, freeing up senior team members to focus on more complex data modelling and strategic decision-making.

Skill Development and Knowledge Transfer: Promote a learning culture by supporting talent development through mentorship, enabling skill acquisition for apprentices and fostering knowledge transfer within the team.

Adaptation to Emerging Trends: Leverage apprentices' training in the latest data science techniques to drive innovation, introducing fresh ideas aligned with emerging trends in AI, machine learning, and predictive analytics.

Key Responsibilities:

Data Analysis and Modeling

• Collect, clean, and preprocess large sets of structured and unstructured data from various sources (e.g., user behavior, educational content, performance assessments).
• Apply statistical analysis, machine learning, and predictive modeling techniques to derive insights that enhance educational solutions.
• Develop and refine recommendation systems, predictive models for student performance, and personalized learning pathways.
• Collaborate with stakeholders to design experiments (A/B testing) and analyze the impact of interventions.

Data Visualization

• Create compelling visualizations to communicate findings to technical and non-technical stakeholders, including educators, product managers, and executives.
• Use data storytelling to drive decision-making and improve user engagement.

Collaboration and Communication

• Work with product, engineering, and UX teams to integrate data-driven insights into the development of learning tools and applications.
• Present data findings to internal teams and clients to showcase the impact of data-driven decisions.

Algorithm Development

• Design and improve algorithms that personalize learning content and optimize student outcomes based on user interaction and performance data.
• Continuously refine data collection and processing techniques for improved accuracy and usability.

Note: This is a 6 months attachment with potential for conversion to full time.

Detailed JD (Roles and Responsibilities)

• Data Collection and Analysis: Collect, analyse, and interpret data from various sources and complex transactions to identify trends, and insights that inform data solutioning processes
• Data Quality Assurance: Assist in data validation efforts to ensure datasets meet end users’ requirements to deliver high quality product releases, and continuous support in monitoring data quality and resolving data discrepancies
• Collaboration: Work closely with cross-functional teams, including data engineers, business analysts and stakeholders, to gather data requirements and ensure data integrity
• Enhancements: Identify opportunities for process improvement and operational efficiency
• Research and Learning: Deeply understand client’s relevant business activities, commercial interests and related processes, and continuously expand your knowledge and skills in data analytics techniques and tools

Mandatory skills

• BS/MBA in Finance, Accounting, Economics, Business Analytics or BS/MS in STEM or quantitative field (CS, Applied Statistics, Operations Research)
• 2-4 years of financial/business/data analyst experience
• Knowledge of accounting principles, financial statements, and financial modelling
• Understanding of Data Design Pattern differences between transactional ERP systems (SAP) and analytical data warehouses (BigQuery, Snowflake)
• Knowledge of SQL and working with large datasets
• Experience with data analytics tools and languages (R, Python…)
• Experience building interactive data visualizations, strong storytelling skills (Tableau, Streamlit, Shiny…)

Desired/ Secondary skills

• Experience building/applying statistical and/or machine learning solutions to solve business problems
• Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity
• Excellent problem-framing, problem solving and project management skills, with the ability to change direction quickly
• Strong verbal and written communication skills with ability to articulate results of analysis in business terms
• Confirmed ability to conduct complex, data driven analysis
• Ability to work independently and collaboratively in a fast-paced environment
• Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis

Domain

eCommerce / Retail / SAP

Requirements

• Minimum of 6 years of hands-on experience in Data Engineering, Data Analytics, and BI reporting.
• Proven expertise in Tableau, Power BI, Spark, Scala, Python, API and large-scale data environments.
• Experience across industries such as banking, insurance, and trading.
• At least 3 years of relevant experience in banking/financial services industry
• Demonstrable analytical skills with deep knowledge of Big Data Ecosystem in a Production Support Environment.
• Strong SQL, Python, Java and Unix shell scripting
• Incident, problem, and service Outage management experience is Plus.
• Good Communication and Articulation Skills
• Strong in data engineering concepts and programming
• Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Experience in supporting data transformation, data structures, metadata, dependency and workload management.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Experience with Cloud Data Warehouses like AWS Redshift or Snowflake.
• Familiarity with Kubernetes and containerized environments.
• Exposure to Machine Learning (ML) models and integrating them into data reporting pipelines.
• Primary Skills:
  • Tableau: Expertise in Tableau Desktop, Tableau Server, creating custom calculations, dashboards, and reports.
  • Big Data Technologies: Spark, Hadoop, Kafka, Databricks.
  • Programming: Python, Java (Core), Scala (for Spark).
  • BI Tools: Power BI, MicroStrategy, Alteryx, Tableau Prep.
  • SQL & Databases: SQL Server, MySQL, Oracle, Redshift, Hive, MariaDB, SAP NetWeaver.

Responsibilities

• Provide operational support and ensure SLI of Applications
• Troubleshoot Batch Issues & root causes to Mitigate Impacts to SLA
• Proactively Identify and Identify opportunities for preventive Maintenance
• Perform Administration & Optimization to achieve of Optimal System Performance
• Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to Established Standards
• Recommend Design and Operational Optimizations
• Respond on time to the queries raised by various business units
• Provide Timely updates (Status, Progress, Issues, Resolutions) to Business Stakeholders
• Work with Project/Enhancement Teams to Review, Transition for Run Team
• Participate in Disaster Recovery and Business Continuity exercises
• Support relevant software/platform/database upgrade for the systems
• Knowledge of Troubleshooting Core Java, Python, Scala spark batch, API and streaming applications
• Support data APIs, data science ML applications running on Kubernetes platform

Interested candidate please click "APPLY". We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

PERSOLKELLY Singapore Pte Ltd • UEN No. 200007268E • EA License No. 01C4394• Reg. EA Registration No. R1768000 (Nguyen Quynh Nhu)

• Working together with a managment team to define business and information needs.
• Translate business requirements into analytics and reporting specifications.
• Optimize and automate data collection processes.
• Provide and assist with daily operational tasks and system support.
• Assist and support sales team on current and potential clients.

Job Description:

1. Data Collection and Management:
- Gathering data from various sources, ensuring its accuracy, and maintaining databases.

2. Data Analysis:
- Utilizing statistical methods and tools to analyze trends, patterns, and correlations within data sets.

3. Reporting:
- Creating detailed reports and dashboards to present findings to stakeholders, highlighting key metrics and performance indicators.

4. Requirement Gathering:
- Collaborating with business units to understand their needs and translate them into data-driven solutions.

5. Problem Solving:
- Identifying business challenges and recommending data-driven strategies to improve operations, efficiency, and profitability.

6. Forecasting and Modeling:
- Developing predictive models to forecast trends and outcomes, aiding strategic planning.

7. Cross-Functional Collaboration:
- Working with IT, marketing, and finance teams to ensure data alignment and support business objectives.

8. Training and Support:
- Providing guidance to teams on data tools and methodologies, fostering a data-driven culture within the organization.

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Administrator
• Working Location: Benoi
• Working Hours: 5 days (9 am-6 pm)
• Salary Package: Basic Salary $2,500 + AWS + PB + Transport Provided
• Duration: Permanent Role

Key Responsibilities

• Verify trailer/prime mover number, model, and company name.
• Check if an inspection is required and whether the customer uses our account or their own.
• Upload before and after repair photos, ensuring all billable items have photos.
• Review all WhatsApp messages to ensure every completed job is accounted for and submitted in Kintone.
• Verify repair/maintenance job scope. If issues are unclear, confirm with workshop workers to avoid preparing incorrect DO.
• List all job scopes from Kintone in the maintenance report.
• Email the maintenance report to the customer and billing department.
• Perform any other ad hoc tasks assigned by your superior.

APPLY NOW!!!

• Minimum ITE qualification.
• Minimum 1 year of experience in data entry or related field.
• Experienced in Kintone is advantageous.
• Excellent communication skills with clients.
• Willingness to learn.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #68538 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Data System Officer

For inbound travel agency

GCE "N" / "O" level

Responsible for sales data including costing

Pleasant personality

Experience not necessary, training will be provided

5 days office work week

Working hours 9am-6pm with 1 hour lunch time

Knowledge of Microsoft office will be advantage

Handshakes by DC Frontiers is an award-winning DataTech company that leverages data to empower safe, informed business decisions. We are located in 7 cities and are expanding our presence across the globe.

We are hiring an experienced Senior Data Engineer to be based in our Singapore office. The Senior Data Engineer will be part of our Data and AI team that is involved in building innovative products on cutting-edge technologies to solve business problems. As a Senior Data Engineer, you will be expected to build machine learning solutions and create robust data pipelines to maintain and optimise data platforms.

Responsibilities for a Senior Data Engineer would include but will not be limited to:

• Engaging in technical design and building reusable codes that are efficient, scalable and stable
• Developing APIs to support high throughput data processing, features engineering and other uses cases
• Creating new data pipelines, improve existing data processes and champion automation of manual processes especially in data delivery
• Collaborating with data scientists, AI engineers, product managers and other teams in developing relevant and cutting-edge data solutions tailored to business and product requirements
• Working on all aspects of data including platform and infrastructure build out, pipeline engineering as well as creating of tools and services relevant in managing the data platforms

As an experienced Senior Data Engineer, you would have:

• Demonstrable experience in coding and scripting in languages such as Scala, Go, Python, SQL or R
• Exposure to big data technologies like Spark, Airflow, Hadoop, Kafka, et al
• Strong experience with data management, data tools, relational / non-relational databases (SQL, NoSQL, MongoDB, HBase, Cassandra), ETL processes
• Experience with cloud services such as AWS, Azure or GCP a plus
• Ability to drive CI/CD, containerization, blue green deployments as well as re-designing of infrastructure for greater scalability

We are not engaging with recruitment agencies. If interested, apply here or send your profile or inquiries directly to [email protected].

Job Description, Roles, and Responsibilities (Commissioning Manager):

A Commissioning Manager effectively manages, leads and supervises the entire quality & commissioning process including contractual deliverables. Coordinate with all departments to ensure a smooth handover from construction through to commissioning and client hand over, including extensive follow-up with contractors, vendors, and the client site team.

ROLES AND RESPONSIBILITIES

• Chair weekly Commissioning meeting with vendors
• Chair daily site Commissioning Meeting following Power On
• Issue daily Notification of Energization (NoE) during Power ON phase
• Ensure the Calibration of ALL test equipment to be used is valid and in date.
• Oversee the correct implementation of the ESSW system including Lock Out Tag Out.
• Ensure registers are maintained for LOTO and related control measures (Lock Box, Authorized Persons).
• Coordinate with the site safety team to endure source of energy risks are covered in site awareness.
• Coordinate safety watch requirements for Commissioning activities.
• Coordinate room access control personnel for sign in, sign out registers and permit to work controls in Commissioning Areas. Assistance by Safety Team
• Ensure adequate safety signage is installed by the HSE team, including live warning labelling and contact persons for Electrical and Mechanical plant.
• Coordination with ALL vendors for documentation (RAMS, Red Line Drawings, Start Up Scripts, SAT)
• Plan Mobilization dates and resources for 3rd Party vendors and commissioning contractors
• Plan and manage the Testing & Balancing team activities.
• Assist Engineering in developing the Equipment Tagging Register for Equipment Labelling (Traffolyte / SS)
• Coordination of vendors/engineering for all inter connections between packages (HW & SW)
• Liaise with the QAQC Inspectors for progress updates during the installation process.
• Liaise closely with the ELV Lead for EPMS/BMS readiness, per package as per the commissioning program.
• Manage the QAQC snagging list and ensure follow up of closures with the Construction Managers, not to delay the commissioning schedule.
• Prepare and distribute a issues log, independently to the Completion Management System CIL for tracking issues or deficiencies during the installation phase.
• Coordinate the closure of all Commissioning Issues raised in the CMS during FAT, L2, L3, SAT and IST
• Manage closely the static testing of MV & LV power cabling, ensuring the installation adheres to approved drawings. Any “To/From” deviations to be escalated immediately.
• Prepare and issue a weekly Commissioning Dashboard report.
• Prepare and issue a 2-week static and pre-functional testing look ahead program - To be updated and issued on a weekly basis.
• Manages and motivates the QA/QC and Cx teams, acts as a champion for all policies and procedures and leads by example, particularly in the areas of work ethics, quality, health, and safety.
• Plan and arrange vendors to attend for System Level and Integrated System Testing Demonstrations
• Leads engineers involved in “hands on” System Level Testing and IST Demonstrations

QUALIFICATIONS & EXPERIENCE:

• Electrical, Instrumentation or Mechanical Engineer.
  BS. Degree or Equivalent in trade experience (15 Years) with a recognized trade certificate.
• 10+ years in area specific project experience.
• Multi-discipline understanding (Electrical & Mechanical, including ELV)
• Very good English language skills.
• Competent in the use of PC applications (Microsoft Office suit or equivalent).

About RubberWay

RubberWay is a young start-up with a mission to improve supply chain transparency in the natural rubber industry. The project was first launched in 2016 by the tire manufacturer Michelin and became a standalone company incorporated in Singapore in 2020. Now, the shareholding structure is composed of both Michelin and Continental, serving major corporate clients such as Goodyear, Sumitomo, and Pirelli.

We are proud of our dual culture of small company working with large businesses, giving us a foot in both the startup and corporate worlds. We are pleased to have a positive impact on the sustainability of the rubber industry.

RubberWay’s first tool is a risk-mapping solution designed to help natural rubber processors identify social and environmental risks in their upstream supply chains. The solution comprises a data visualization dashboard that allows processors to monitor their risk-mapping progress and visualize their risk data.

The RubberWay team is looking for a Data Visualization Intern to implement improvements to the dashboard and support other ongoing operational tasks within the company. The intern will report to the Head of Operations and work in close collaboration with the Engagement Manager.

Main Responsibilities

1. Redevelopment of current Power BI dashboard: Improving layout of existing dashboard pages, designing and implementing new dashboard features and graphs to provide better data insights for users.
2. Adjustments to RubberWay website: Updating of figures, addition of new tabs.
3. Assist in updating of questionnaire dataset: Language translation of questionnaires, implementation of new questionnaire version.
4. Provide support in other daily operations where required.

Requirements

• Currently pursuing a Bachelor’s Degree in Computing, Engineering, Data Science, Data Analytics, Business Analytics, Information Technology, Environmental Sciences or related fields.
• Proficiency in data management and analytics in Microsoft Excel.
• Experience with data visualization. Knowledge of PowerBI is preferable.
• Strong verbal and written communication skills.
• Proactive and creative, able to propose new ideas.
• Able to effectively handle multiple ongoing tasks.
• Interest in social and environmental sustainability.
• Experience with WordPress is an advantage.

Additional Notes

• Applications will be considered on a rolling basis.
• Link to RubberWay website - https://rubberway.tech/

Product area

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

Job description

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

Qualifications

Job responsibilities

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Learn and apply skills in repairing and troubleshooting different machine platforms.
• Participate in complex troubleshooting and resolve critical technical issues.
• Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other networking gear. Configure and troubleshoot Linux OS-related issues.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• Experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
• Experience Data Centers, Linux, Hardware, Networking, OSI Model, Written Communication, Teamwork, Communication.

Preferred qualifications

• Experience in maintenance of server systems.
• Experience working within a data center or network operation center environment.
• Experience with troubleshooting hardware and network issues using Linux tools.
• Knowledge in Networking, including topology and protocol understanding.

JOB DESCRIPTION

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

JOB REQUIREMENTS

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