TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

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

About the team

The success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs. Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

About the role

As Data Engineer, you will be working on cutting-edge challenges in the big data and AI industry which requires strong passion and capability of innovation. You will collaborate closely with cross-functional teams to understand business requirements and translate them into technical solutions.

Responsibility

1. Architect efficient, scalable and reliable data pipelines and infrastructure for ingesting, processing, and transforming large volumes of data;

2. Define the technical strategy and roadmap for data engineering projects in alignment with business objectives, actively evaluate and bring in industry best practices and state-of-the-art technical approaches, and timely update the strategy according to the rapid change of the industry;

3. Own and drive data engineering projects by leveraging both internal and cross-functional resources, setting meaningful and challenging targets, and achieving them with innovative approaches;

Qualifications

Minimum Qualifications:

1. Bachelor's or Master's degree in Computer Science, Engineering, or related field;

2. Experience in data engineering, with demonstrated expertise in building scalable data pipelines and infrastructure;

3. Proficiency in programming languages such as Python, SQL, and Java;

4. Experience with big data technologies such as Apache Spark, Hadoop, and Kafka.

Preferred Qualifications:

1. Strong understanding of database systems, data warehousing, and distributed computing concepts;

2. Excellent communication, and interpersonal skills.

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.

The Operations Manager actively manages and directs company programmes and implements company policy to ensure compliance with contract duties between the company and the customer.

The Operations Manager involves in planning, supervision, budgeting, vendor and supplier's contact and customer relations.

Job Responsibilities:

· Responsible for overall direction, coordination, and evaluation of the sites under your charge.

· Plan, develop work schedules and ensure that they are carried out accordingly as per our contract service.

· Inspect and evaluate physical condition of establishment for safety and quality.

· Audit and maintain inventory, supplies and equipment.

· Investigate and promote use of equipment and suggested methods of work improvement.

· Review customer service requests to ensure quality and priority.

· Analyse and facilitate budgets to identify area of cost savings and improvement.

· Ensure work sites meet budgeted goals.

· Conduct meetings to maintain consistent, timely and effective communication within all levels of the business.

· Job assignment and scheduling for employees in different job sites.

Job Types:

Full-time, Permanent Pay:

$3,000.00 - $3,500.00 per month Benefits:

5 working days

9am – 6pm

License/Certification:

Class 3 Driving Licence (Required).

Work Location:

Kaki Bukit

Main Responsibilities

• Handle public phone enquires on medical reports requests
• Process medical report requests and follow up on medical report requests status
• Process duplication of medical records for patients
• Perform records management such as engage porter to deliver documents to patient care areas, archiving of document in e-MRO storage and tracing
• Sorting and scanning of documents into the electronic medical record system
• Perform indexing and Quality Control check (100%) on the scanned images
• Participate in continuous quality improvement initiatives and projects in the department.

Requirements

• At least a GCE ‘N’ or ‘O’ levels, Professionals Certificate/NITEC.
• Experience in healthcare preferred
• Proficient in Microsoft Office
• IT literacy and numeracy including conversational, writing making electronic entries e.g. Record information on forms, charts and checklists
• Able to adapt quickly to changes and work in a fast-paced environment

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

Thank You.

Victoria Yam Wen Ting
R21103142
Recruit Express Pte Ltd (Healthcare & Lifesciences Division)
EA License: 99C4599

Rate: $10/hr, PH X2

Working hours: On rotating roster of up to 6 days shift (will not exceed 44 hrs/wk)

• AM shift – 9.15am to 2.15pm (5 hours, no break)
• PM shift – 3.15pm to 8.15pm (5 hours, no break)
• Full shift – 7.45am to 7.45pm (2 break time given)
• AM & PM shift - 9.15am to 8.15pm (1 hour break)

JOB DESCRIPTION

• Register visitors, administer health screening questionnaire, making sure of visitors' compliance to hospital SOPs and guidelines
• Data entry
• Attending to queries from patients & visitors
• Other duties as assigned by supervisor

TELE me at @yijingggggg or WA me at https://wa.me/+6598623556 NOW!
Interested candidates, please submit your resume to [email protected]

Alison Chen
Outsourcing Team
Recruit Express Pte Ltd (EA Licence No.: 99C4599)

Responsibilities

• Perform document related activities, eg. Sorting, preparation, scanning
• Perform data entry of materials
• Able to work as a team
• Other related duties assigned

Requirements

• Basic typing skills
• Good computer knowledge
• Candidates who are willing to work at other area are encouraged to apply
• Able to start work immediately preferred
• Training provided

Available options:

• Day shift: Monday to Friday 8:30am - 5:30pm

Work location

• 47 Jalan Buroh Singapore 619491

Salary : $1,400.00 /month & Gross up to $1,600/month

The Role

Directly reporting to the Manager, OpenData Research Center, APAC we are looking for a Data Steward Team Lead who will be responsible for the direct supervision of data stewardship team members for the data offering in Pakistan within the APAC region.

You will also be responsible and retain all the responsibilities of a Data Steward, such as updating the attributes of records to improve core data, calling Group Practices, and updating provider affiliation information.

If you have a passion for data and quality – this is a great opportunity for you! Your role will be based in the Veeva Office in Singapore.

What You'll Do

• Recruit, coach, motivate, appraise and retain team members
• Deliver all necessary training to Data Stewards and audit the data quality
• Monitor, improve, and give feedback on individual and team performance
• Design, document, and optimize processes to ensure best-in-class delivery of data quality
• Ensure the team meets and exceeds productivity and quality standards
• Run the daily operations in the Data Stewardship team

Requirements

• BA/MA or equivalent degree
• Urdu language is required for facilitating phone / web research validation to both build and maintain the product. (The data sources need to be either phone or web validated with the respective hospitals, clinics, or pharmacies to ensure the data is accurate)
• 1+ year of work experience with leadership component; recent graduates who have leadership quality are welcome to apply
• Ability to learn quickly and independently
• Problem-solving and efficient time management skills
• Proficiency in Windows, Google apps, MS Office, and other office software
• People and result-oriented
• Experience in staff scheduling
• Highly organized, attention to detail, and focus on quality
• Fluent in English

Our client, a leading international investment bank, is looking for a data BA for their product controller team to ensure critical securities modeling and pricing data is accurate, complete, and scalable.

Responsibilities:

• Collaborate with traders, strategists, and other operations professionals to actively resolve data exceptions, delve into technical issues to investigate and fix complex problems involving multiple teams and vendors, and work with business partners to analyze and implement solutions for new business reference data requirements
• Collaborate with a team of global product experts to utilize knowledge in resolving comprehensive reference data issues involving multiple stakeholders across diverse teams and divisions
• Demonstrate attention to detail and ability to understand all aspects of product and pricing reference data, and interpret their attributes to all downstream systems reliant on these attributes
• Build strong and effective relationships with critical vendors providing reference data to improve their controls and deliver the best product possible to the company
• Suggest ideas for process improvements and implement them globally to enhance the overall process
• Collaborate with senior technologists and project managers on key projects that are redefining the reference data support model used across the entire financial industry

Requirements:

• Knowledge of derivatives pricing and trade life cycle in any asset
• Ideally from a data science background, or familiar with SQL/ VBA macro
• Ability to juggle multiple tasks with dynamic and aggressive deadlines
• Self-motivated and a team player
• Good communication skills in English since it requires working with foreigners
• Bachelor's degree in a related discipline from a reputable university

With well over a decade of a solid and enviable track record behind us, headquartered in Hong Kong, Pinpoint Asia Infotech Pte Ltd (EA License: 16C8291) is the go-to IT Search Firm for several top Investment Banks and Financial Institutions.

If you are interested in the above position, please send your CV to Lu Zhang @ [email protected] (EA Registration number: Reg No: R22105986)

Job Summary

You will be working with our client in the financial industry. You will play an important role in transforming structured and unstructured data. You will be part of a dynamic team responsible for developing, enhancing and maintaining IT systems/applications that support data management needs.

Responsibilities

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

Requirements

• Bachelor’s degree in IT, Computer Science, or a related field.
• At least 5-8 year's experience in data engineering
• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.
• Strong SQL and data modelling and data analysis skills.
• Good understanding and completion of projects using waterfall/Agile methodology.
• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.
• Understanding of reporting or visualization tool like SAP BO and Tableau is important.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.

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

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

Morgan McKinley Talent Solutions

Morgan McKinley Pte Ltd EA Licence No: 11C5502

EAP Registration No: R2196712

EAP Name: Chew Kai-Xinn

Employment Type: 12 months contract
Experience: 10+ years

We are looking for a highly skilled Data Engineer and Data Quality Analyst with more than a decade of experience in various data ecosystems, ETL processes, and data quality frameworks.

Role Overview:
As a Senior Data Engineer/Data Quality Analyst, you will be responsible for designing, building, and maintaining data pipelines, ETL processes, and data quality validation frameworks. You will work with multiple data sources, ensuring seamless integration and transformation of data to support business analytics and reporting needs. You will also collaborate closely with business and reporting teams to deliver high-quality, scalable, and reliable data solutions.

Key Responsibilities:

• Design and implement data ingestion, transformation, and reconciliation processes for structured and unstructured data using SQL Server, MySQL, Snowflake, and other databases.
• Develop scalable ETL pipelines using SSIS, Talend, and other tools, ensuring efficient data flows between source systems, staging areas, and data warehouses (Snowflake).
• Perform data validation and quality checks using SQL scripts, Redgate, and other frameworks to ensure the accuracy and integrity of data.
• Optimize SQL queries and stored procedures to fine-tune performance for data ingestion and business rule implementations.
• Collaborate with cross-functional teams for requirement gathering, data modeling, and reporting to ensure alignment with business objectives.
• Build and maintain automated reconciliation processes between the Data Warehouse and Reporting layers.
• Work closely with the reporting team to support data validation in BI tools like Tableau, QlikView, and Metabase, ensuring high-quality reporting.
• Perform data performance tuning, indexing, and partitioning to ensure the scalability of data solutions.
• Familiarity with the Medallion Architecture for managing data layers in a cloud environment (Snowflake).
• Utilize Jira for project tracking and issue resolution within the project lifecycle.

Skills and Competencies:

• Strong expertise in SQL Server, MySQL, and Snowflake databases.
• Proficiency in ETL tools such as SSIS, Talend, and experience in developing data pipelines.
• Hands-on experience in Data Warehouse architecture, performance optimization, and data quality validation.
• Strong in SQL preparation and query optimization.
• Experience with cloud-based data solutions such as Snowflake, AWS S3, and Redshift.
• Experience working with BI tools like Tableau, QlikView, and iReport Designer.
• Familiarity with HiveQL, Spark SQL, and medallion architecture.
• Experience with version control and collaboration tools like GitHub and Jira.
• Strong problem-solving and analytical skills.
• 
  

Educational Qualifications:

• Bachelor’s degree in Computer Science or related field.

Preferred Qualifications:

• Experience working with high-volume datasets.
• Familiarity with performance tuning for large datasets and optimizing stored procedures.
• Knowledge of advanced data engineering concepts like partitioning, indexing, and data modeling.

Interested candidates, please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

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

Gelangre Reyanelle Gelario | REG No : R1870995

PERSOLKELLY SINGAPORE PTE LTD | EA License No : 01C4394

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

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

- 5 Days Work Week, 9AM-630PM

- Large MNC with lots of Career Progression

- Attractive AWS & Variable upon Conversion

- Good Working Environment

- Blue-Chip Bank

Job Scope

- Defining data requirements and testing for source of various variance and risk system project delivery & implementation

- Interpretation of business requirements using balance sheet for project implentation

- Working with departments to automate and streamline data processing flow

- Conduct risk reporting system maintenance and enhancement base on requirements of users

- Performing system integration testing and assisting in UAT with users

Requirements

- Min Degree with Business/Finance/Computer Science or any relevant experience welcome

- Good to have SAS/SWL

- Good to have FRM/PRM

Interest applicants may send the resume over to [email protected]

EA License No: 04C3537

EA Personnel No: R23117727

EA Personnel Name: Estele Chai

Job Summary

You will be working with our client in the financial industry. You will play an important role in transforming structured and unstructured data. You will be part of a dynamic team responsible for developing, enhancing and maintaining IT systems/applications that support data management needs.

Responsibilities

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

Requirements

• Bachelor’s degree in IT, Computer Science, or a related field.
• At least 2 year's experience in data engineering
• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.
• Strong SQL and data modelling and data analysis skills.
• Good understanding and completion of projects using waterfall/Agile methodology.
• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.
• Understanding of reporting or visualization tool like SAP BO and Tableau is important.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.

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

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

Morgan McKinley Talent Solutions

Morgan McKinley Pte Ltd EA Licence No: 11C5502

EAP Registration No: R2196712

EAP Name: Chew Kai-Xinn

Duration: 1 Year Contract (Tentative from 02 Jan 2025 - 02 Jan 2026 **Project may start early in Nov 2024)

Location: Fusionpolis

Working hours: Mon - Fri (8am - 6pm)

Responsibilities:

The Data Privacy and Protection Capability Center (DPPCC) was set up to raise the government’s capabilities in data privacy and drive adoption of Privacy-Enhancing Technologies (PETs). As a Data Scientist in DPPCC, you will be breaking new ground in the emerging field of privacy engineering through working on impactful and scalable technologies, that help unlock the potential of data for public good.

PETs are not new, but they have been challenging to implement in real use cases, whether within or outside of government. The team aims to bridge the gap between research to adoption through experimentation and piloting with agencies to assess the feasibility and utility of each technology, and prepare them for wider adoption in government, whether it be through building products, evaluating current solutions, developing clear guidelines around usage or education.

The team’s portfolio is currently working on evolving technologies includes such as LLM-powered approaches to PII etection and redaction Free-Text Anonymisation, Synthetic Data Generation, Homomorphic Encryption and Differential Privacy, and we plan to open new projects in other technologies (e.g., Federated Learning, Confidential Computing, Data Clean Rooms).

We are seeking a Data Scientist to:

(a) gather information on existing solutions for a PET

(b) run experiments to benchmark and evaluate potential optimal solutions

(c) design implementable workflows/ solutions that agencies can use

(d) and synthesize research on advancements, case studies, and benchmarks to develop materials that guide agency adoption and meet their needs. synthesize research on international case studies/ benchmarks and/or developing materials to guide agency adoption. and

(e) develop and deploy cloud-based implementations of optimal solutions.

Requirements:

• Bachelor’s degree or diploma in Computer Science, Data Science or a relevant field of study. Open to entry level candidates with relevant internship/projects experience.
• Has sufficient foundation in AI/ML model development to be able to run experiments according to user needs
• Experience with quantitative analysis, including machine learning frameworks and tools (e.g., scikit-learn, TensorFlow, PyTorch)
• Proficiency in at least one programming languages, such as Python or R
• Experience with the cloud (e.g. AWS, GCP, Azure)
• We value candidates with T-shaped competencies. Adjacent expertise in related areas like software development (e.g., cloud infrastructure, frontend technologies, backend with REST APIs) is a big plus.
• Has an inclination to read and synthesize research work, even in a new domain.
• Curiosity, willingness to learn and explore new domains, especially in data privacy and protection. While experience with privacy-enhancing technologies is a plus, we are happy for you to learn on the job.
• Inclination to work in a collaborative environment
• Machine learning frameworks and tools (scikit-learn, TensorFlow, PyTorch as examples)
• Proficiency in at least one programming language (e.g., Python, R)
• Experience with cloud infrastructure (e.g., AWS, GCP, Azure)
• Optional but highly valued: Frontend technologies, backend with REST APIs

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/apply/9429

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

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

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

Roles & Responsibilities

Roles:

The Human Resource (HR) cum Admin Executive will be involved in the full HR spectrum and is expected to manage the day-to-day operations of the HR office.

Responsibilities:

· Able to adapt to the various functions within the HR department

· Updating of staff information in the database and Personnel File Maintenance and ensuring confidentiality at all times

· Handle recruitment & selection, compensation & benefits, employees’ engagement & relations, performance management, safety compliance, etc

· Conduct newcomer’s orientation process and briefing of employment terms and conditions

· Arrange & coordinate staff training enrolment and update of training records

· Assist in all Recruitment Drives & Work Pass Applications such as S Pass / EP application and pass renewal

· Assist with performance appraisal

· Maintain employees’ leave record and medical claims

· Maintain, upkeep company & departmental documentation of operational policy, rules and regulation

· Maintain, upkeep and participate in ISO, BizSafe and OHSAS audit

· Communicate with external vendors on accommodation for foreign employees

· Assist in administration duties when required and other ad hoc duties as assigned

Requirements:

· GCE “O” Level / Certificate or Diploma in HRM or its equivalent with some working experiences

· At least 3 years of relevant working experience in the related field

· Good understanding of human resources functions

· Meticulous, organised and enjoy handling transactional activities

· Able to exercise mature discretion on confidential issues

· Possess excellent Verbal and Communication Skills with good interpersonal skills

· Computer literate with strong proficiency in Microsoft Office applications.

· Good knowledge of Employment Act, MOM regulations and practices

· Positive attitude, fast and independent with strong organizational skills.

· Self-motivated and able to work under pressure.

· Ability to multi-task and work independently in a fast-paced environment

EA License No.: 96C4864

Reg.No.: R1873093

• Location: Central & West
• Salary: $2500 - $2900
• Duration: 4+5 years contract
• Working hours: Monday to Friday: 8.30am to 6.00pm

Responsibilities:

• Support with raising of procurement requests and perform goods receipt via Authorities IT systems.
• Liaise with vendors for item availability and delivery schedule.
• Support with the processing of Request For Quotation (RFQ) to vendors.
• Educate and guide employees on the procurement policies and processes.
• Provide monthly procurement status report.
• To support timely response to employees’ enquiries on procurement matters.
• To assist supervisors with periodic audit checks and preparation of audit reports.
• To meet the quality service standards and customer satisfaction ratings as stipulated by the Authority.

Requirements:

• Diploma in Business Management or relevant discipline
• Good knowledge of Microsoft Office software/applications (e.g. Excel) and experience in SAP and Business Warehouse will be advantageous

“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 RMA Groups’s PDPA and e2i’s PDPA.”

Employer is a credit service company.

Job description :

- Call on behalf of customers to remind customers of overdue accounts

- Arrange payment and follow up on overdue accounts

- Perform administrative duties, inquiries, account monitoring

- Update and maintain credit

• Extract transaction and valuation reports from internal systems.
• Conduct control checks on extracted reports.
• Submit the reconciled reports to Trade Repositories.
• Conduct checks on the reports that have been submitted to ensure accuracy.
• Monitor and correct any exceptions that arise from automated report submissions.
• Generate and submit end-of-day reports after performing final control checks.

Job Requirements:

• Competence with MS Excel

Interested applicants please send your resume in MS Word format and attention it to Rachel Yeo (R22104385).

Shortlisted candidates will be notified

Data provided is for recruitment purposes only

www.ambition.com.sg

EA Registration Number: R22104385

Business Registration Number: 200611680D. Licence Number: 10C5117

Responsibilities

• Relocate and replace parts for servers like mainboards, CPU and others
• Deliver IT parts to clients if needed
• Provide level 1 support for hardware and software installation, troubleshooting, and maintenance for internal teams.
• Performing & maintaining IT inventory list

Requirements

• Passion and high sense of responsibility for work.
• Possess Class 3 license
• Physcially fit (sometimes would need to relocate and replace server)
• Training will be provided

If you are interested, kindly apply through mycareersfuture.

I regret to share that only shortlisted candidates will be notified.

www.dadaconsultants.com

EA Registration Number: R21100604

Data provided is for recruitment purposes only

Business Registration Number: 201735941W.

Licence Number: 18S9037

About the Role:

We are seeking a talented Data Scientist to join our team and focus on building domain-specific AI solutions. The ideal candidate will have a strong background in AI, machine learning, and natural language processing (NLP). This role involves developing, implementing, and optimizing AI solutions tailored to the real estate industry, ensuring they provide accurate, context-aware responses and enhance user engagement.

Duties & Responsibilities:

• Design, develop, and deploy domain-specific AI chatbots using machine learning and NLP techniques.
• Support various stakeholders by proposing and implementing data science models to extract insights
• Support Innovation, identify new areas of improvement for data analytics, big data technology with an eye to solve business problems.
• Support a clear communication strategy that keeps all relevant stakeholders informed.

Key skills & qualifications required:

• Bachelor’s degree in computer science / data science / information technology / engineering related studies
• Experience with LLMs, RAG, Embeddings, Vector DB, AI platforms and deployment of AI solutions
• Strong knowledge in statistical analysis and machine learning models
• Expertise in computer vision and natural language processing is a plus
• Experience with Big Data (Spark, Hadoop/Hive) and real-time analytics is a plus

Personal Competencies:

• Creative thinking backed by strong analytical and problem-solving skills
• Effective verbal and written communication skills
• Willing to learn new knowledge and explore unfamiliar domains

Key Responsibilities

• Analyze the data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues - Track record in implementing systems with high availability, high performance, high security.

What we are looking for

. Good understanding and completion of projects using waterfall/Agile methodology.

• Good understanding of analytics and data warehouse implementations.

• Ability to troubleshoot complex issues ranging from system resource to application stack traces.

• Strong SQL, data modelling and data analysis skills are a must.

• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.

• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.

• Passion for automation, standardization, and best practices

• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders

• Good understanding and completion of projects using waterfall/Agile methodology.
• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.
• Understanding of reporting or visualization tool like SAP BO and Tableau is important.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.
• Strong SQL and data modelling and data analysis skills.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage

• Analyse the Authority’s data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues.

• Good understanding and completion of projects using waterfall/Agile methodology.

• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.

• Understanding of reporting or visualization tool like SAP BO and Tableau is important.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.

• Strong SQL and data modelling and data analysis skills.

• Good understanding of analytics and data warehouse implementations.

• Ability to troubleshoot complex issues ranging from system resource to application stack traces.

• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.

We seek a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, and processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

Responsibilities:

• Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
• Ensure data quality and integrity throughout the data processing lifecycle
• Design and deploy data engineering solutions on the OpenShift Container Platform (OCP) using containerization and orchestration techniques
• Optimize data engineering workflows for containerized deployment and efficient resource utilization
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
• Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation for the continuous improvement of the analytics capabilities within the bank

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, Bitbucket)
• Experience with Graphana, Prometheus, and Splunk will be an added benefit
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges- Excellent collaboration and communication skills to work effectively with cross-functional teams
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

Responsibilities:

· Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives

· Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions

· Ensure data quality and integrity throughout the data processing lifecycle

· Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques

· Optimize data engineering workflows for containerized deployment and efficient resource utilization

· Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

· Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

· Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

· Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

· Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

· Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps

· Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

Requirements:

· Bachelor's degree in Computer Science, Information Technology, or a related field

· Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments

· Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)

· Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes

· Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java

· Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

· Experience with Graphana, Prometheus, Splunk will be an added benefit

· Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges

· Excellent collaboration and communication skills to work effectively with cross-functional teams

· Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

· Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus