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

Responsibilities:

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

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

Develop and implement streaming data solutions with Apache Kafka.

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

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

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

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

Optimize performance and scalability for data processing and storage systems.

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

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

Requirements:

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

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

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

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

Expertise in Java/J2EE frameworks and application development.

Strong communication and problem-solving skills.

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

Responsibilities:

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

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

Develop and implement streaming data solutions with Apache Kafka.

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

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

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

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

Optimize performance and scalability for data processing and storage systems.

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

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

Requirements:

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

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

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

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

Expertise in Java/J2EE frameworks and application development.

Strong communication and problem-solving skills.

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

Job Functions

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

Knowledge and Skills

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

ROLES AND REPONSIBILITIES

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

• Integrate Informatica IDMC for metadata management and data cataloging.

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

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

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

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

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

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

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

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

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

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

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

REQUIREMENTS

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

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

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

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

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

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

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

Internal ref: S

Regards,

Lini

Recruitment Consultant

R22108463

5 days, 9am-6pm, permanent, Eunos

Our client

Data Centre Builder

Job Scope

· To Perform onsite maintenance and servicing of Computer Room Air Conditioning/HVAC

·

· To troubleshoot, repair, service of computer room aircon /HVAC

· To Install, commissioning and testing of aircon System.

REQUIREMENT

· Min Nitec Diploma in Aircon/ Mechanical Engineering

· 2 years hands on experience to troubleshoot and repair of Computer Room aircon

· Able to perform rotating 24/7 on call standby (Extra allowance will be given) on 1st half or 2nd half of the month

· Singapore Class 2 or Class 3 licence.

Work location :Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

Roles & Responsibilities

• Supporting operation in the assigned process unit in DCS panel
• Handling day-to-day duties and plant troubleshooting
• Conducting field logging, routine sampling, and plant testing work
• Ensuring equipment complying to SOP and working instructions
• Management of the team, including all aspects of people and performance management.
• Drive and work with support teams to resolve service disruptions and restore services as rapidly as possible.
• Ensure timely escalation and track incident life cycle till resolution.
• Document and update NOC operation processes and troubleshooting guides.
• Identify areas for process and efficiency improvements within NOC.
• Participate and contribute product or enhancement projects.
• Other general duties

Requirements:

• At least 3 years’ working experience in IT Helpdesk / NOC environment (Telco Environment)
• At least 2 years’ management experience to lead a support team
• Strong Communication Skills, with good email and verbal etiquette for compilation information / creation and dissemination of SOPs
• Familiar with Layer 2 and Layer 3 Technologies, eg DWDM, BGP, to aid in fault identification and escalation.
• Able to work independently and as a good team player.
• Good deductive reasoning and problem-solving ability.
• Excellent verbal and written communication and presentation skills.

Position Overview

We are seeking a highly skilled and experienced Data Engineering Manager to lead and oversee the development, implementation, and optimization of data engineering solutions in the financial services industry. The ideal candidate will be a strategic thinker with strong technical expertise, leadership capabilities, and a passion for driving data-driven decision-making in a dynamic environment.

Key Responsibilities

• Team Leadership and DevelopmentLead, mentor, and manage a team of data engineers to design, build, and maintain scalable and robust data pipelines.
  Foster a culture of innovation, collaboration, and continuous learning within the team.
  
• Data Infrastructure and ArchitectureDesign and implement end-to-end data architectures, including data acquisition, transformation, storage, and distribution.
  Collaborate with data architects to ensure alignment with enterprise-wide data strategies and compliance requirements.
  Optimize existing data systems and build new data models that support financial analytics, reporting, and machine learning initiatives.
  
• Collaboration and Stakeholder ManagementPartner with cross-functional teams, including business analysts, data scientists, and IT teams, to deliver data solutions aligned with business goals.
  Work closely with compliance and risk management teams to ensure adherence to industry regulations (e.g., GDPR, CCPA, or PCI-DSS).
  
• Innovation and Best PracticesStay updated on the latest trends and technologies in data engineering and apply them to enhance the organization’s capabilities.
  Establish and promote best practices for data engineering, including version control, testing, and documentation.
  
• Project Management and DeliveryOversee multiple data engineering projects, ensuring timely delivery and quality assurance.
  Manage project budgets, timelines, and resources efficiently.
  

Qualifications and Skills

Educational Background

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.

Experience

• 7+ years of experience in data engineering, with at least 3 years in a leadership or management role.
• Proven experience in the financial services industry, with a strong understanding of data requirements and challenges specific to the sector.

Technical Skills

• Expertise in designing and implementing data pipelines using tools such as Apache Spark, Kafka, Airflow, or similar.
• Strong proficiency in SQL, Python, Java, or Scala for data processing.
• Experience with cloud platforms like AWS, Azure, or Google Cloud, including data-related services (e.g., Redshift, BigQuery, Databricks).
• Solid understanding of ETL/ELT processes, data warehousing, and big data technologies.
• Familiarity with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Jenkins).

Soft Skills

• Strong leadership and team management capabilities.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Problem-solving mindset with a focus on delivering practical and scalable solutions.

Preferred Qualifications

• Experience with financial data, risk modeling, or compliance-related data engineering.
• Knowledge of data governance frameworks and data quality best practices.
• Certifications in cloud technologies (AWS Certified Data Analytics, Azure Data Engineer, etc.).

Context:

• Data Solutions for Capital Markets IT (CMI) division which manages information systems for capital markets activities which includes Front Office (FO) booking platforms, Risk Management (RM) control and regulatory reporting systems, financial product and contract valuation systems, and much more.

Job Description:

• Contribute to IT initiatives for Antaes Asia clients.
• Delivery of comprehensive business analysis to provide solutions for business needs.
• Work with the project team including product owner, senior developers, architects, BA’s to deliver business requirements and improve business processes and systems.
• Work closely with stakeholders to define requirement and various artifacts around application development or enhancement.
• Specification of business rules for regulatory reporting, business operations and transformations.
• Functional design and testing of solutions.
• Maintenance and promotion of best practices around the data dictionary of the bank.
• Interaction with developers to define implementation specs
• Interaction with other IT teams to explain and communicate on Data services
• Assisting with the daily operations through Scrum, Jira and Kanban, techniques.
• Contribute to the promotion of Antaes services on top of assistance provided to clients.

Job Requirements:

• At least Bachelor’s Degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies) or related Finance fields.
• At least 2 years of relevant experience (Data Solutions)
• Strong communication to bring consensus on requirements.
• Functional knowledge of financial products, capital market processes & regulatory reporting.
• Knowledge on the MIFID2/SFTR/EMIR / any APAC transaction regulatory reporting principles is desirable.
• Strong problem-solving skills with ability to think out of box.
• Excellent communications and proven documentation capabilities.
• Skilled in Data analysis using database queries (SQL/Oracle/Sybase), TSQL.

Job Responsibilities:

- Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.

- Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.

- Train and fine-tune ML models using appropriate algorithms, techniques, and tools.

- Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.

- Work closely with software engineers and DevOps teams to deploy models in production environments.

- Implement APIs and integrate models into existing systems to enable real-time decision-making.

- Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.

- Continuously refine models and algorithms based on user feedback and performance metrics.

- Perform exploratory data analysis to uncover trends and insights.

- Use statistical methods and visualization techniques to communicate findings to stakeholders.

- Stay updated on advancements in ML and artificial intelligence (AI).

- Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.

- At least 2 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.

- Familiarity with Large Language Models and Generative AI technologies is a plus.

- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

- Strong understanding of statistical analysis, probability theory, and hypothesis testing.

- Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

- Strong analytical and problem-solving skills with the ability to break down complex problems.

- Excellent communication skills to articulate technical concepts to diverse stakeholders.

- Proven ability to collaborate in a team environment and manage multiple priorities effectively.

- Eagerness to learn and adapt to new tools, technologies, and methodologies.

- Commitment to staying updated on the latest trends and innovations in ML and AI.

This role offers the opportunity to work on cutting-edge ML technologies and contribute to transformative business solutions in a dynamic and collaborative environment.

Only shortlisted candidates will be notified.

(EA Reg No: 20C0312)

hands on in databricks pyspark coding, workflow orchestration, unity catalog.

Prior experience of migration from hadoop to databricks would be preferred.Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate

• Business Requirement Analysis
• Business Process and System Understanding

Effective Communication with both business and technical users

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

Responsibilities:

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

Requirements:

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

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

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

We regret that only shortlisted candidates will be contacted.

NG JYA YEE (R23119014)

EA Recruitment Pte Ltd

EA License No: 21C0492

Permanent, 5days, Paya Lebar

Our client

MNC in air conditioning and humidification system solution serving high tech industry.

Responsibilities:

· To Conduct assessments of hvac designs to ensure that they meet the required specifications and standards within allotted timeline.

· To verify and prove that hvac systems in data centre build and function according to the requirement.

· To execute, lead n manages the commissioning process across all projects, from start-up, designing, construction, acceptance, functional performance and systems testing to operational turnover.

· Management of 3rd party commissioning agents, supplier, contractor, client to resolve any issues on site

· To perform project closeout and handover

· To produce Commissioning Report for each project.

Requirements:

· Diploma in Mechanical Engineer or related disciplines.

· 3 years’ experience in hvac data centre of commissioning management or hvac data centre design management

· Proficient in data centre safety and industry standards

· 3 years’ experience in physical M&E equipment in data centre (especially hvac0

· Speaks and write 2 languages.

Please email your resume ( in word document )to [email protected].

We regret only shortlisted candidate will be notified.

We are partnering with a prestigious energy and infrastructure firm to seek a Senior Account Manager - Data Centre in Singapore. This is an exceptional opportunity for a seasoned sales professional with a proven track record in the data centre industry, ideally as a vendor.

Seniority range: Senior Executive - Senior Manager level.

Responsibilities:

• Forge and nurture strong relationships with hyperscalers and colocation clients.
• Develop and implement strategic sales plans to achieve ambitious sales targets.
• Deliver innovative energy and low carbon solutions to data center end-users.
• Manage all phases of the contract lifecycle, from initial drafting and thorough review to strategic negotiation and final execution.
• Analyze market trends, client feedback, and the competitive landscape to guide strategic decisions.

Requirements:

• Bachelor's Degree in Engineering, Business, or a related field.
• Over 8 years of sales experience as a vendor to hyperscalers and colocation data centers.
• In-depth knowledge of data center infrastructure, power, or utilities industry.
• Proven sales success within Singapore; regional experience is a plus.

If you are interested, please apply with your latest CV. Only shortlisted candidates will be contacted.

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

Market Data Services is the global cross-business team responsible for all aspects of market data delivery, providing economies of scale through the provision of end to end solutions. The team is accountable for vendor management, financial management, engineering, development, connectivity, risk and control, and production support.

As a Market Data Services Product Analyst in our Markets Technology Team, you will become a subject matter expert in the market data vendor landscape. You will provide crucial advice to our firm-wide Line of Business on vendor/product selection to meet their evolving requirements and productivity goals. As the first point of contact for Business Managers and Chief Financial Officers for Market Data financials, insights, and queries, you will play a pivotal role in our operations. This role provides you with comprehensive training and exposure, setting you up for success as a full-time market data business analyst managing global line of business.

Job responsibilities

• Manage accounts by Implementing self-help to allow downstream users to self-service questions

• Partner with Control, Analyst & Vendor to implement process to keep accounts

• Organize meetings and manage communications for Senior Market Data Analyst focusing on status on priority tasks, projects, new products and functionality, service delivery metrics etc

• Keep key documentation updates e.g. how to read a FITS Report, Contract renewals

• Have regular contact with major vendors to discuss resolve issues, understand new product/functionality offerings, product road maps

• Manage small vendor renewals under guidance of Senior Business Analyst

Required qualifications, capabilities, and skills

• Bachelor’s Degree in Computer Science / Finance / Accounting related disciplines

• Minimally 1 years related experience in a relevant domain area or project management

• Can-do attitude with a keen-to-learn mindset. Self-starter with excellent attention to details

• MS Office, with a particular strength in Excel and PowerPoint

• Strong personal skills are critical in order to work with many different internal teams and external vendors

• Knowledge of Market Data vendors and products, and how they are used within business

• Understanding of vendor contract structure and ng of product licensing and sourcing

• Business Analysis experience

• Market Data Control experience

• Proficiency in Mandarin or Japanese, as this role will be dealing with clients or vendors in local language

• Familiarity in JIRA / Tableau / FITS / Agile framework

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=b7c8b9f9e6efb7cd9cdc094a4bb34c0c

Responsibilities

• The candidate needs to deeply understand customers' needs and pain points regarding Big Data products and solutions and design overall Big Data product solutions tailored to customer business scenarios and technical requirements.
• Capable of recommending the core advantages and capabilities of Tencent Cloud's Big Data products and solutions to customers, overcoming obstacles to migrating customer data to the cloud, supporting the implementation of Big Data product solutions in the cloud, and solidifying Big Data product solutions.
• Thoroughly understand customers' technical issues and requirements regarding Big Data products, act as a bridge within the Big Data product team, and collaborate efficiently with industry, research and development, pre-sales, and after-sales teams to effectively solve customer problems.
• Extract core customer requirements for Big Data products and drive continuous optimization and enhancement of product capabilities.

Requirements

• Bachelor's degree or above in computer science, communication, or related fields, with over five years of experience in Big Data projects. Experience in cloud computing and Big Data development is preferred.
• Familiar with the open-source Hadoop ecosystem, knowledgeable about various Big Data component architectures (including Spark, Flink, Elasticsearch, etc.), and familiar with the characteristics and issues of these components in various Big Data scenarios.
• Familiar with the characteristics of mainstream cloud computing Big Data products, especially AWS, Azure, and GCP's Big Data products. Experience as a cloud vendor Big Data architect is preferred.
• Strong communication skills, clear, logical thinking, proactive and responsible work attitude, positive and open-minded approach to work, and good teamwork abilities.
• Proficient in Chinese and English, with strong written and spoken proficiency for daily customer communication and support.

• Salary up to $4,300 with variable bonus
• Working location: Queenstown
• Experience in CRM is a MUST

Responsibilities:

• Conduct regular checks on dealer showrooms and service centers to ensure compliance with requirements.
• Manage and lead franchise brand ownership benefits programs and CRM activities.
• Manage CRM functions and processes to engage current and future customers.
• Oversee the Customer Feedback Management (CFM) system, ensuring live cases are closely monitored and promptly resolved.
• Acknowledge and address customer complaints/feedback within 24 hours, via phone or written acknowledgment.
• Follow up with low-scoring survey customers, working with stakeholders to resolve concerns.
• Manage the customer database to introduce loyalty programs
• Provide marketing support in terms of administration, customer service, and events

Requirement:

• Diploma in Business/Marketing or equivalent.
• 1 to 3 years of experience in a customer-facing work environment, including managing IT administration, such as Salesforce.
• Proficiency in Microsoft Office applications, particularly MS PowerPoint.

Interested candidates can forward their CVs in MS Word format to [email protected]

• Reg No. R1875181
• Triton AI Pte Ltd
• License no. 21C0661

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

Why Join Us

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

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

You will:

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

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

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

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

Qualifications

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

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

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

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

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

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

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

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

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

Process the day-to-day operations to:

• support document management, data maintenance
• meet agreed SLA, and Staff Efficiency & Productivity targets

Responsibilities

BAU

• perform document and data extraction
• prepare letter/email draft for sign off
• maintain registers
• liaise and follow up with business units

Administration

• ensure the smooth and efficient day-to-day operations
• perform general clerical functions (including data maintenance, filing documents)

Requirements

• a diploma in any field
• banking experience in similar capacity preferred
• AML knowledge is advantageous
• independent, able to work with minimum supervision
• detailed and meticulous

Responsibilities:

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

Requirements:

• Bachelor’s or Master’s degree in Microelectronics, Data Science, or a related discipline.
• At least 3 years of experience in the semiconductor industry, including manufacturing equipment, fabrication facilities, semiconductor components, or related fields.
• Demonstrated experience as a Data Scientist within the semiconductor industry, with specific expertise in plasma dry etch processes.
• Expertise in developing and deploying algorithms for process optimization and problem-solving.
• Strong understanding of data analytics, statistical methodologies, machine learning techniques, and predictive modeling.
• Proficient in data science tools and programming languages (e.g., Python, JSL, R) for data processing, visualization, and analysis.
• Strong communication skills, with the ability to collaborate effectively in a team setting and build positive relationships with customers.
• Detail-oriented, organized, and resourceful team player.
• Self-motivated and capable of working independently with minimal supervision.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24994

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

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

We are seeking a talented and motivated Data Scientist to join our analytics team, focusing on policy services and payments within the insurance sector. As a Data Scientist, you will analyze complex data sets related to policy administration, customer interactions, and payment transactions to provide actionable insights that drive our business strategies and decision-making processes.

This role will require you to demonstrate your strong analytical skills & ability to story tell key messages back to the business.

Responsibilities:

• Analyze large and complex data sets related to policy administration, payment transactions, customer demographics, policy renewals, and service interactions.
• Develop and implement predictive models and algorithms to improve policy retention, customer satisfaction, payment processing efficiency, and fraud detection.
• Collaborate with policy services, payments, underwriting, IT, and customer service teams to understand business requirements and translate them into analytical solutions.
• Perform data preprocessing, cleansing, and validation to ensure data quality and accuracy.
• Create data visualizations and dashboards to communicate findings to stakeholders.
• Use statistical techniques to interpret data and make recommendations for process improvements and strategic initiatives.
• Monitor policy service and payment system performance and identify opportunities for optimization and enhancement.
• Stay up-to-date with the latest industry trends and advancements in data science, analytics, policy services, and payment technologies.
• Document and present analytical methodologies and findings to both technical and non-technical audiences.

Requirements:

• Bachelor’s or master’s degree in data science, Statistics, Computer Science, Mathematics, or a related field.
• 4+ years’ experience as a Data Analyst or similar role is preferred.
• Proven experience as a Data Scientist, preferably in the insurance industry or with policy services and payment systems.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with ETL tools, data visualization tools (e.g., Tableau or PowerBI) and statistical analysis (e.g., hypothesis testing, regression, predictive analytics) is a must.
• Strong analytical and problem-solving skills with attention to detail.
• Knowledge of machine learning techniques and algorithms.
• Familiarity with insurance data, policy administration systems, and payment processing is a plus.
• Ability to draw insights from data to provide practical solutions.
• Ability to explain technical concepts in a clear and succinct manner to various stakeholders.
• Being able to work independently once the tasks are defined.
• Being pro-active in identifying ways of improving how we operate as a team.
• Willing to explore data science projects and learn new technologies

Responsibilities: 

• Data Governance Policies and Standards: Establishing clear policies, standards, and procedures to ensure consistent and high-quality data across the organization. 
• Data Quality Management: Monitoring and assessing data quality through processes such as profiling, validation, and cleansing. Collaborating with data owners and stewards to define and enforce data quality standards promptly. 
• Data Classification and Security: Classifying and labelling sensitive data elements and collaborating with security and compliance teams to enforce data protection policies. Implementing and monitoring access controls to ensure data security and confidentiality.
• Stakeholder Collaboration: Working closely with internal stakeholders from cross-functional teams to understand data requirements and business processes. Acting as a liaison between business and technical teams to promote a collaborative approach to data governance.
• Data Compliance and Auditing: Ensuring compliance with relevant data protection regulations, industry standards, and internal policies. Conducting regular audits to assess adherence to data governance policies and recommending improvements as needed. 
• Data Visualisation: Build and implement data visualisation of reports and dashboards for management and business users. Create summaries and reports highlighting key findings with a focus on market dynamics and industry trends.

Job Requirements

• Bachelor's degree in a relevant field (e.g., Information Management, Computer Science, Business Analytics).
• Proven experience in data management, or a related role.
• Strong understanding of data quality and data classification concepts.
• Familiarity with data protection regulations and industry best practices.
• Excellent communication and interpersonal skills, with the ability to work collaboratively across departments.
• Familiar with data visualisation tools.
• Analytical mindset with attention to detail and problem-solving skills

Applicants who are keen to apply, pls send your resume to : [email protected]

You will be working as data engineer to carry out analysis , development of complex datawarehouse solution

Job Responsibilities:

• Analysis of user requirements and preparing specifications

• Performing data analysis and data mapping

Design and develop application using T-SQL and MSSQL (stored procedures)

Manage SDLC and change requests

Involved in SIT, UAT, releases

Investigate and troubleshoot the production issues and system problems escalated by IT operation team

• Lead technical discussions with technical teams for issue solving and system release preparation.

• Coordinate with IT teams on system environment setup and maintenance.

Job Requirements:

• Bachelor’s degree in Information Technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.

• Min. 3 years of experience working as backend database / datawarehouse developer (T-SQL, Oracle PL/SQL)

• Proficient in System Development Life Cycle (SDLC).

• Competent in business requirement gathering, functional review, feasibility studies and stakeholder’s management.

• Hands on experience in writing complex stored procedures , triggers

• Good experience in performance optimization

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

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

The Mechanical Engineer is responsible for the engineering and delivery of mechanical and structural aspects of construction under direction from the Construction Manager. Their activities will involve coordinating design and construction efforts, resolving on site engineering issues and planning and tracking productivity targets.

Key responsibilities and accountabilities

Technical

• Design, integration & coordination, installation & commissioning of mechanical systems and services required for the project
• Liaise with Construction/Installation Manager to ensure job is on schedule on Site.
• Liaise with Client on all technical aspects of the project.
• Provides engineering advice for the Construction/Installation Team.
• Attends meetings with client on all disciplines of the work (i.e. 1 etc.) as required.
• Prepares with the Quality Manager all Inspection and Test Plans and associated Project Specific Procedures.
• Ensures that the quality requirements of the client are adhered to and that company procedures are followed.
• Coordination & integration of the design with other engineering design disciplines & services
• Ensure project timetabling requirements are met
• Development / production of inspection & test and operating & maintenance manual documentation.
• Ensure local regulatory and OHS requirements are maintained
• Ensure that the surveys of installations throughout the project are conducted in a professional manner with all results being reviewed and accepted by UGL. All actions resulting from these surveys are coordinated by the Engineer until completion.
• Provides written reports on engineering activities as required by the Project Manager.
• Mentor Engineering Graduates and Engineering Vacation Students (Engineering Assistant)
• Maintain documentation and registers
• Provide monthly reporting data to the Engineering Manager as required

Safety

• Undertake all responsibilities in a safe manner.
• Ensure a safe working condition is present for all employees, contractors and visitors.
• Participate in daily pre-start meetings.
• Use appropriate personal protective equipment and safety systems such as job safety analysis, pre-work checklists and risk assessments.
• Comply and have input into safe working procedures.
• Report hazards, incidents and accidents within company guidelines.
• Assist with safety sections for reports, tenders and proposals.
• Actively participate in safety training.

Other

• Prepare and implement Workpacks, including ITPs
• Detailed planning and engineering of works
• Procurement of suppliers and subcontractors
• Subcontractor and Supplier Management
• Monitor, control and update program and productivity metrics
• Enthusiastically and co-operatively undertake all site inductions as requested by the client.
• Proactively continuously monitor and evaluation systems and procedures specific to site works to ensure that they are up to date, compliant and up-to-date in line with best practice.
• Actively participate in regular learning and development programs to continually enhance and further develop skills and continuously improve capabilities and performance.
• Portray a professional approach at all times through attitude and appearance.
• Ensure that work space is well managed, tidy, organised and safe.
• Comply with all UGL systems and processes and expected behaviours and standards.

Qualifications and Education Requirements

• Mechanical Engineering Qualification.
• Minimum 5 years’ experience in project related disciplines.
• Significant engineering experience throughout, design, construction and commissioning on Brownfields and Greenfields projects.
• Technical experience includes; rotating equipment, static equipment, GE equipment, materials selection, hydraulic systems, pipelines and piping components
• Strong communication skills (oral & written) including strong negotiation and influencing skills and the ability to establish effective working relationships with a variety of people at different levels both internally and externally.
• Demonstrated ability to work independently to organise and prioritise demands, handle multiple complex tasks simultaneously, set and meet deadlines and follow-through within a fast paced environment with multiple and competing demands
• Proficient skills in computers: MS Word, Excel, Access, Outlook
• Leadership ability

Main responsibilities

• Lead technical study into a propose solution, while involving expertise from infrastructure big data expert, business analyst requirement
• Document proposed design and develop the solution
• Implicitly ensure all CI-CD artefacts are part of the solution
• Perform code review while fostering knowledge and coaching best practices to team members
• Interact and provide reporting to project managers
• Monitor technical risk and escalate appropriately to management
• Research, design, and develop software.
• Analyse user needs and develop software solutions
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Work with other engineers to integrate hardware and/or software systems

The position requires autonomy and reliability in performing duties with initiatives and leadership when it comes to all non-functional deliverables such as testing tools, mocking objects, production monitoring concerns, quality control including performance and load testing.

Education and Qualification Requirements:

• At least a Bachelor’s degree in any of these faculties: Computer Science,Information Technology,Programming & Systems Analysis and Science (Computer Studies)

Mandatory:

• At least 8 years in Software development
• At least 5 years in Java/J2EE development
• Hands on Data ingest and data processing technology like Spark streaming and Spark
• Hands on Messaging systems like Kafka, Flume or ActiveMQ, MQSeries or RabitMQ
• Hands on knowledge on Hadoop (preferably Hortonworks distribution) - HDFS, HBase, Hive, ORC/Parquet.
• Build tool - Maven/sbt/ant, UML, Restful web services, Jenkins/Team City, Source management – SVN/GIT, TDD using Junit, Jira/QC.

Good to Have:

• Solution design using proven patterns, awareness of anti-patterns, performance tuning, especially in streaming
• Knowledge of tools like Phoenix, ElasticSearch, Sqoop, StreamSets are good to have.
• Basic understanding of finance and investment banking