About iNova

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.

The Opportunity

We currently have an opportunity for a Data Engineer - Snowflake to based in Philippines or Singapore, to join our Group Technology Team.

Reporting to the Head of IT Strategy, Architecture & Governance, the Data Engineer will be primarily responsible for designing, developing, and optimizing data warehouse solutions with Snowflake. Secondarily, this role will involve supporting the integration of ETL processes using Microsoft tools (Azure Data Factory, LogicApps etc.) into the Snowflake ecosystem.

Knowledge of data visualization through Power BI would also be desirable to ensure provision of available, reliable, and structured datasets from Snowflake for both reporting and analysis purposes.

This role requires extensive knowledge of data engineering processes, data modelling, data warehousing, and business intelligence best practices. A successful candidate will be able to transform complex business needs into efficient, scalable, and secure data pipelines solutions.

Key Responsibilities

Primary - Data Warehouse Development and Management:

• Design and manage data warehouse solutions in Snowflake, ensuring data integrity, optimization, and security.
• Maintain and improve the performance of the data warehouse to meet the reporting and analytical needs of the business.
• Ensure Snowflake environment is optimized to integrate with upstream data-sources.
• Support Data Governance and Quality within the Snowflake environment.

Secondary - Data Integration / ETL and Visualization Support:

• Collaborate with internal and external integration specialists to identify data requirements and co-design data integration solutions.
• Consume output datasets from various internal and external sources into Snowflake as processed using Microsoft tools such as Azure Data Factory and LogicApps.
• Familiarity with other ETL tools such as Alteryx would also be beneficial.
• Ensure that Power BI reports deliver accurate, real-time data insights through providing appropriate reporting datasets.

Collaboration with Business and IT Teams:

• Work closely with business units including finance, marketing, supply chain, and sales to gather reporting requirements and translate them into technical solutions.
• Liaise with data governance teams to ensure adherence to best practices in data management and security.

Documentation and Compliance:

• Maintain documentation for all data pipelines, transformations, and visualizations, ensuring clarity and consistency for both technical teams and end-users.
• Ensure adherence to corporate policies and industry standards related to data security and compliance.
• 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, Information Technology, or a related discipline, with a minimum of 5 years hands-on experience in data engineering, with a focus on building and managing data warehouses in Snowflake.

Other key requirements for this role include:

• Snowflake Certification (SnowPro Core and/or other Advanced Certifications) a plus but not mandatory.
• Hand-on experience building data-pipelines in Snowflake with SQL and/or Python.
• Hands-on experience with Data Governance in Snowflake including compliance, security, privacy and access
• Ideally, experience with developing data-centric capabilities using Python in Snowpark and/or applications with StreamLit.
• Experience with ETL tools with a focus on Snowflake Integration, particularly within the Microsoft stack (Azure Data Factory & Logic Apps).
• Experience in building datasets to enable reports and dashboards using Power BI.
• Experience with data integration from cloud platforms and various APIs a plus.
• 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.

PURPOSE

• Being a vital member of the GO Data monetization team to support and contribute to the overall Smart Insurance and Data Monetization Strategy
• Champion and drive customer acquisition, retention, cross-sell and upsell campaign across markets.
• Drive customer engagement initiatives to achieve the collective Data Monetization target set for all markets.

KEY ACCOUNTABILITIES

• Champion and drive data-driven marketing initiatives and efforts across markets. Key initiatives include Leads Acquisition, Retention and Up-sell & Cross-sell campaigns and initiatives.
• Plan, creates and implement customer-centric and data driven GO Signature engagement programme and roll out across markets
• Coach, initiate, define and support CVM activities using data and AI; drive effective demand generation programme at scale.
• Handle data and analytics comfortably and relate them to qualitative aspects of work.
• Generate insights into customer segments for data monetization campaign planning.
• Review campaigns tracking results and propose next step.
• Benchmark market standards, share best practices and provides feedback and suggestions to countries to improve local campaigns and support implementation.
• Liaise with key and senior stakeholders to maintain an evolution of information needs.
• Ensure adherence to all data governance standards as determined by regulators

QUALIFICATIONS / EXPERIENCE

• Bachelor/Master degree in a relevant field (digital marketing, CRM, loyalty or data analyses.)
• Min 5+ years’ experience in a similar field.
• Analytical, strong database management and resourceful.
• Good communication and interpersonal skills.
• Proactive and able to work in a fast-pace environment.
• Understanding of Customer Experience Management.
• Positive attitude.
• Able to travel

KNOWLEDGE & TECHNICAL SKILLS

• Familiar with customer centric marketing, customer insights, marketing campaign best practises and other enterprise marketing strategies.
• Know the business to appreciate and understand the value of the data to monetize it
• Familiar with Salesforce Marketing Cloud or other marketing automation platform preferred but not a must.
• Ability to create great presentations with strong narratives.

ViSenze, an AI-powered Commerce Search and Discovery platform, is looking to hire a motivated and experienced Senior Data Scientist

We revolutionize the retail industry with product discovery solutions, processing over a billion monthly queries globally from retailers such as Myntra, Ajio, Meesho, Rakuten, Zalora, Mango, and Target

Our mission is to empower customers to 'See. Style. Shop', and we need you to help us continue to deliver this promise

Responsibilities

• Understand complex real-world problems and leverage domain knowledge to develop reliable models
• Strategize ways of constructing training datasets that are representative, diverse and free of bias
• Continuously review model performance with sharp analytical skills, identify potential issues and improve them iteratively
• Optimize workflows and processes, as well as develop useful tools to boost the efficiency and scalability of routine tasks
• Provide requirements for new or existing internal tools to improve internal analytical capabilities, pipelines and platforms
• Be an expert in communicating insights and recommendations to audiences of varying levels of technical sophistication

Requirements

• Bachelor’s degree in Computer Science, Electronic Engineering, Statistics, Applied Mathematics, Operation Research, or a related quantitative Bachelor’s or Master’s degree
• At least 2 years of experience with building machine learning and predictive model
• Familiar with Python is a must
• Familiar with essential data science libraries, including Pandas, Numpy, Scipy, Scikit-Learn and Matplotlib
• Sound knowledge of popular deep learning frameworks, such as PyTorch, TensorFlow, MXNet, Caffe, etc
• Strong problem-solving mindset, down-to-earth attitude, passion for machine learning and everlasting curiosity to learn

Good to Have

• Excellent communication skills - able to present their findings and models to senior stakeholders
• Experience in deploying models and systems into production environments
• Knowledge of golang
• Experience with developing Deep Convolutional Neural Networks (CNN)
• Familiar with Software Development Life Cycle (SDLC)
• Fluent in Data Visualization

Purpose: To create, control and manage changes to customer's Technical Product Data (TPD) packages (Items, Bill of Materials, Product specification documents) in the Product Lifecycle Management (PLM) and Enterprise Resource Planning (ERP) systems. To deploy TPD changes to the relevant Persons-in-Charge (PICs) for execution.

Key Area of Responsibilities:

• Check the correctness and completeness of product packages, such as Technical Product Data (TPD) and Bill of Materials (BOM) received from customers.
• Work with the user of TPDs to define the new TPD requirement and update the ISO document (for new customers or any change in TPD requirement).
• Maintain required customer items, BOM, and TPDs in PLM and ERP systems.
• Create and control the item part number, BOM and TPD in the PLM and ERP systems.
• Create projects in the ERP system for the fulfillment of customer Sales orders.
• Implement Engineering Change Order (ECOs) and deploy the changes to the next inline PIC (such as planner, purchaser, process engineer and Sales & Program dept.)
• Check and ensure all required information for the TPD (items, BOMs, documents) and/or configuration change are provided, and approved by the customer.
• Support and participate in company continuous improvement program.

Qualification & Experiences:

• Diploma/Degree in Mechanical Engineering/Science or relevant field.
• Minimum 2 years of working as a product data engineer in the semiconductor industry or similar position.
• Proficient in Microsoft Excel functions
• Good communication skills

Are you looking to work with AI & RPA in a global organization committed to sustainability and innovation?

Don't look further and join Grundfos!

Job purpose:

To strategically lead the AI and automation delivery organization within CBS, driving the ideation, development, and implementation of the global CBS AI and RPA roadmap to enhance operational efficiencies, customer satisfaction, and competitive advantage globally, by operationalizing a new capability center in Singapore.

Key Accountabilities / Responsibilities

• Establish and operationalize a dedicated capability center in India for in-house AI development, and continuously lead and manage a highly motivated team. (20%)
• Establish and facilitate forums to engage and negotiate with senior management across CBS, cross-divisionally, and group functions to define and align AI initiatives and business objectives. (15%)
• Strategically formulate and deploy an AI and automation operating model, involving key stakeholders across CBS and Grundfos to foster innovation with cutting-edge technologies. (15%)
• Define and execute the AI and RPA roadmap to drive operational efficiencies across End to End CBS, and deliver value for One Grundfos. (15%)
• Lead the team to continuously develop processes, capabilities, and ways of working, and head technological progress and development to fulfill the business needs for scaling and technical advancements. (10%)
• Lead the change to ensure stakeholders are committed and actively participate in roadmap implementation, driving a strong collaboration and trust culture across team members and key collaboration partners for ideation, development, delivery, and implementation. (10%)
• Manage a global and diverse team, fostering a culture of innovation in a fast-paced and complex environment. (5%)
• Oversee budgeting and funding activities, ensuring optimal allocation and utilization of resources. (5%)
• Facilitate effective communication towards the CBS Leadership team to approve and prioritize roadmap activities and communicate decisions across the CBS organization. (5%)

Required Minimum Qualifications:

• Proven experience developing and executing key strategic initiatives within a complex business environment; experience working in a global environment is required.
• A Master’s degree in a relevant field is required.
• Knowledgeable of agile methodologies, demonstrating the ability to adapt quickly to change and efficiently deliver projects in a dynamic and iterative development environment.
• Experience developing and implementing operating processes and setting strategic direction for AI and automation initiatives, in a global context.
• Strong leadership in driving AI initiatives across functions, with a high focus on End-2-End impact
• Experience in leading people directly or indirectly.
• Ability to influence and guide teams and stakeholders.
• In-depth knowledge of AI and RPA applications and best practices.
• Expertise in technical RPA and AI solutions in order to set direction.

• Support the division in implementing Digital Transformation projects to enhance service quality and reduce costs.
• Analyze and assess operational needs and user requirements across various Business Units and departments.
• Collaborate with stakeholders to define data needs and gather relevant information.
• Oversee project planning, ensure appropriate IT solution implementation, and align solutions with operational goals.
• Conduct statistical analysis, data mining, and pattern recognition to identify trends, correlations, and actionable insights, accompanied by clear visual presentations.
• Lead project development initiatives to boost operational productivity and efficiency through the adoption of digital transformation tools.
• Coordinate and manage projects with the team, ensuring timely delivery and alignment with company strategies.
• Provide well-organized data for advanced analysis and perform additional tasks as assigned.

Requirements:

• Bachelor's degree in Information Technology, Computer Science, or a related discipline.
• Proven experience in IT, development, or related fields.
• Strong knowledge of digital transformation and automation tools, including Microsoft Power Platform, SharePoint, Power BI, MS SQL, Knime, Python, and cloud platforms.
• Excellent communication and interpersonal skills; meticulous, well-organized, and a resourceful team player.
• Highly self-motivated individual who can work independently with minimal supervision.

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the 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 GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Requirements:

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in Designing and developing applications using Python and Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Advantageous experience includes:

1. Working in the financial or banking industry.
2. Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Interested applicants may send in their detailed resumes in MS Word to [email protected] with email subject: 120-Data Engineer

Best Regards

IT Consultancy & Services Pte Ltd

EA No: 92C5311 | EA Reg No. R1106648 | www.itcspl.com

Key Highlights

• Great exposure to the government sector
• Nearest MRT: Labrador Park
• Working Hours: Mon- Fri (office hours)
• Salary:  Up to $3,450 per month
• Contract Duration: 11 months

Key Responsibilities

Data Analytics

• Process raw data using basic Excel formulas and pivot tables.
• Organize and present data visually for analysis.

Tableau Dashboard Management

• Update and refresh existing Tableau dashboards.

Data Projects Support

• Prepare survey forms and consolidate survey data from various sources.
• Clean and organize data for analysis.

Program Operations Support

• Coordinate with stakeholders to ensure timely updates.
• Maintain CRM accuracy and compile data for documentation.
• Organize distribution of materials and logistics for community hubs across Singapore.

Key Requirements

• Only Singaporean!
• Bachelor's degree in Data Analytics, Business Administration, Information Technology, or a related field
• Strong knowledge of basic and intermediate Excel functions (e.g., formulas, pivot tables) to handle data.
• Familiarity with Tableau dashboard development, updating features, and performing data refreshes.
• 1 year of experience in data analytics, program coordination, or a related field is preferred.

Interested candidates please click "Apply Now". We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Venice Kang
Outsourcing Team

BGC Group Pte Ltd

Registration No.: R23117645
EA License Number: 05C3053

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

WHO WE ARE:

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

YOUR ROLE:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other PALO IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.
• Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.
• Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.
• Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.
• Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.
• Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.
• Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.
• Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.
• Support the definition and optimization of underlying data infrastructure

WHO YOU ARE:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
• Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
• Experience with batch & ETL jobs to ingest and process data from multiple data sources
• Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
• Experience with querying tools (e.g Hive, Spark SQL, Impala)
• Experience with Power BI
• Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
• Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
• High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)
• You are passionate about technology and continuous learning comes naturally to you

We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.

MORE ABOUT PALO IT:

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Attain 50% of revenue from projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all our offices across the globe
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training

For more on our team culture and benefits, check out our careers page.

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

About Bytedance

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

Why Join Us

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

About the Team

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

Job Description:

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

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

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

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

Qualifications

Minimum Qualifications：

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

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

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

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

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

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

Preferred Qualifications:

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

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

Key Highlights

• Great exposure to the government sector
• Nearest MRT: Labrador Park
• Working Hours: Mon- Fri (office hours)
• Salary:  Up to $3,450 per month
• Contract Duration: 11 months

Key Responsibilities

Data Analytics

• Process raw data using basic Excel formulas and pivot tables.
• Organize and present data visually for analysis.

Tableau Dashboard Management

• Update and refresh existing Tableau dashboards.

Data Projects Support

• Prepare survey forms and consolidate survey data from various sources.
• Clean and organize data for analysis.

Program Operations Support

• Coordinate with stakeholders to ensure timely updates.
• Maintain CRM accuracy and compile data for documentation.
• Organize distribution of materials and logistics for community hubs across Singapore.

Key Requirements

• Only Singaporean!
• Bachelor's degree in Data Analytics, Business Administration, Information Technology, or a related field
• Strong knowledge of basic and intermediate Excel functions (e.g., formulas, pivot tables) to handle data.
• Familiarity with Tableau dashboard development, updating features, and performing data refreshes.
• 1 year of experience in data analytics, program coordination, or a related field is preferred.

Interested candidates please click "Apply Now". We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Venice Kang
Outsourcing Team

BGC Group Pte Ltd

Registration No.: R23117645
EA License Number: 05C3053

You will be working as data engineer with a large global bank, you will be playing key role in building complex data solution

Job Responsibilities:

• Performing data analysis and data mapping

- Develop data pipelines to be used by BI or AI team

- Ensure data integrity and data quality

- carrying out development using python, Scala and Databricks

- Carrying out development of back end solution on structured and unstructured data

Job Requirements:

• Bachelor’s degree in Information Technology, Computer Science, Manage Information Science, or Analytics

• Min. 3 years of experience working as backend developer using python, pysparks

• Good experience working in big data platforms (Hadoop) and data lakes

• Good experience working with both structured and unstructured data.

• Experience working with databricks, enterprise datawarehouse, Spark streaming

• Good experience in performance optimization

• Experience in data management, data modelling, data warehousing, data mart, data visualization, design and implementation

Interested candidates please email your latest resume to [email protected]

Responsibilities

• Design and develop smart manufacturing and AI solutions in advanced factory scheduling, optimization and simulation that enable the achievement of industry leading manufacturing capability.
• Develop high-quality data analytics and applications that provides actionable insights for management and manufacturing teams.
• Explore and apply new frontier ideas, concepts and technology to enable breakthrough solutions at Micron.
• Work with management, different departments, and global manufacturing sites to identify optimization opportunities and deliver solutions to continuously improve production metrics.
• Drive global collaboration, alignment, and benchmarking of scheduling and simulation solutions.

Requirements

• Possess a drive to make a difference and a passion for exploring new frontiers.
• Highly motivated, proactive, with a strong work ethic, able to work independently and collaborate effectively with diverse teams.
• Strong problem-solving skills with logical approach.
• Masters/Bachelor’s degree in Industrial Engineering, Operations Research, Computer Science, Computer Engineering, Data Science, other technical disciplines, or equivalent professional work experience.
• Proficient in C#, Python and SQL.
• Knowledge and experience in optimization and CPLEX/Gurobi strongly preferred.
• Knowledge and experience in reinforcement learning, machine learning and deep learning preferred.
• Direct experience with factory scheduling, simulation, and application development preferred.
• Knowledge and experience with GCP, Snowflake, Visual studio, GIT, Azure DevOps preferred.
• Able and willing to travel overseas

Mandatory Skills

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Fluency in written and spoken English, with strong communication and interpersonal skills.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:

· Python development.

· Hadoop platform (Hive, HDFS, Spark).

• 3–5 years of experience in:

· Unix shell scripting.

· SQL development.

• 2–3 years of experience in Spark programming.

Mandatory Skills

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Fluency in written and spoken English, with strong communication and interpersonal skills.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:

· Python development.

· Hadoop platform (Hive, HDFS, Spark).

• 3–5 years of experience in:

· Unix shell scripting.

· SQL development.

• 2–3 years of experience in Spark programming.

Castlery creates furniture that opens everyones’ eyes to the spaces they already have - and the life that’s yet to be lived in them. By working directly with designers and manufacturers, we bring iconic high-end furniture to our customers without high street price tag.

As an e-commerce and retail startup, we move decisively based on good data and leverage on technological solutions to supercharge our operations. We combine our individual passions and skills to create innovative work that’s as exciting and unconventional as the business itself.

What You’ll Be Doing

• Lead Castlery’s data science practice and data product development for all departments, including Marketing, Customer Experience, Supply Chain, Category Management.
• Build a data-driven organisation by defining and answering key business questions with other teams, applying most appropriate models and data technology.
• Work with Technology and Data teams to implement appropriate data architecture to enable high availability and good performance of data products.
• Improve how business teams operate by incorporating data science solutions into day-to-day operations and strategic decision making.
• Responsible for professional development of team of data scientists and analysts.
• Create and own Castlery’s data science and product road map.

What You’ll Need

• University degree in Mathematics/ Statistics, Computer Science/ Engineering, Data Science or other equivalent degrees with outstanding record of academic achievement.
• Proven track records of working as senior-level Data Scientist, developing production data systems using machine learning, optimsation, simulation etc.
• Passion for solving challenging problems by leveraging on 3rd-party data science solutions or building the required products in house.
• Entrepreneurial spirit to develop innovative solutions from scratch.
• Good command of programming languages (Python, R), their related data science libraries.
• Excellent communication skills and ability to influence people from various departments.
• Ability to deliver complex ideas effectively, both verbally and in writing, in English.

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Job Description:

At least 2 years of hands-on experience in data center infrastructure, network hardware, and communications systems implementation and maintenance.

Knowledge of data center environments, including PDUs, RPPs, SANs, and network infrastructures.

Understanding of complex inter-networked environments, such as Ethernet, TwinAx (100GigE, 25GigE, 10Gig, 100M etc) token ring, and WAN technologies (OC-x, DS-x).

Familiarity with TCP/IP protocols, subnetting, and WAN technologies.

Strong analytical and troubleshooting skills to identify and resolve system and network-related issues.

Excellent written and verbal communication skills to interact with vendors, team members, and stakeholders.

Experience in managing or coordinating technical infrastructure projects is an advantage.

While not required, familiarity with the Financial Services industry is a plus.

Roles and Responsibilities:

Hardware & Network Installations: Perform installation, de-installation, relocation, and testing of network hardware (routers, switches, firewalls, encryptors) and systems within the data center. Ensure that all installations meet the required service-level standards.

Carrier Circuit Management: Install, relocate, and test carrier circuits to ensure network connectivity across various hardware.

Cabling & Infrastructure Management: Manage the installation, relocation, and testing of patch cabling for systems and network hardware, maintaining organized and effective cabling practices.

Vendor Coordination: Collaborate with facilities, electrical, and communications vendors to facilitate the installation of infrastructure elements such as power circuits, cabinets, and network components.

Network & SAN Infrastructure Support: Assist in coordinating the installation and management of network configurations and SAN cabling, ensuring that performance and reliability standards are met.

Consumables Management: Oversee the management of critical consumables (cables, labels, rail kits, etc.) to ensure efficient day-to-day operations.

Work-Life Balance: This role will be 12Hour Rotating shift from Thursday to Sunday. 3days off to rest/ recharge.

Career Development: Gain invaluable experience in managing enterprise-level data center operations and network infrastructure.

Overview:We are seeking an AI and Analytics Specialist to find innovative ways to apply artificial intelligence and analytics to real-world Wealth Management challenges. You will work on enhancing client offerings or improving internal processes, constantly pushing the boundaries of how AI can be leveraged to drive value in a dynamic financial environment.

Responsibilities:

• Collaborate with the data hub team to deliver AI-driven data transformation projects.
• Understand business requirements and develop analytical solutions to address key business problems.
• Use design thinking to identify user pain points and areas where advanced analytics, such as Machine Learning and Natural Language Processing, can drive value.
• Design and develop machine learning models tailored to financial services.
• Build advanced analytics workflows, including feature engineering, model development, and insight visualization.
• Create dashboards for data storytelling and insights consumption.
• Develop reusable analytical assets to support various projects.
• Work with business and analytics teams to operationalize models and drive measurable business outcomes.
• Conduct regular audits to ensure model relevance and accuracy.
• Clearly communicate results and insights to stakeholders.

Qualifications:

• Strong strategic thinking around AI’s business value.
• Initiative and resilience to succeed in a highly regulated environment.
• Expertise in machine learning, NLP, clustering algorithms, and feature engineering.
• Proficiency in Python and tools like pandas, scikit-learn, TensorFlow, pytorch, and Flask.
• Experience with data visualization tools such as Power BI or Tableau.
• Ability to explain technical concepts to both technical and non-technical audiences.
• Scientific approach to experimentation and solution evaluation.
• A portfolio of previous AI projects or Kaggle competition experience is a plus.
• Degree holder.

This role requires a mix of technical expertise and business acumen, with the ability to innovate in the AI space within the wealth management domain.

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

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. Kindly indicate #66104 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

Job Description:
We are seeking a skilled Data Engineer with expertise in AWS cloud computing and database administration to join our team. In this role, you will design, implement, and manage scalable data solutions while maintaining and optimizing databases to ensure high performance and reliability..

Job Responsibilities:

• Design, deploy, maintain, and optimize database systems (Oracle, MySQL, SQL Server), including installation, configuration, backup, and recovery.
• Monitor and optimize database performance to improve response time, stability, and reliability.
• Plan and expand database capacity to ensure scalability and meet business requirements.
• Deploy and manage cloud infrastructure on AWS, including servers, networks, storage, and other resources, to provide a stable and reliable environment.
• Create, configure, and maintain AWS services to align with business needs, selecting appropriate services based on requirements.
• Implement and manage monitoring tools to track the performance and operational status of databases and AWS environments, proactively identifying and resolving potential issues.
• Collaborate with cross-functional teams to deliver efficient, scalable, and reliable cloud and database solutions.

Job Requirements:

• Bachelor’s degree or higher in Computer Science, Information Systems, or related fields.
• Minimum of 3+ years of experience in database administration (with hands-on experience in Oracle, MySQL, or SQL Server).
• Strong experience with AWS services and managing cloud infrastructure.
• In-depth knowledge of database performance tuning, troubleshooting, and optimization techniques.
• Familiarity with cloud networking concepts and using monitoring tools for AWS environments.
• Strong communication and problem-solving skills to handle technical challenges effectively.