Software Developer (RPA) (Open to Fresh or Entry Level) (ref: 120)

Requirements:

• To develop software/applications based on design requirements
• Involve in design, coding, testing and maintenance of applications.
• Analyze process/program specifications confirming to program guidelines
• Develop unit test package, and execute tests

Requirements:

• Degree in Computer Science, Engineering, IT or any related qualifications
• Familiar and with Software Programming concept and Full SDLC
• Entry level candidates with good learning attitude and relevant background can be considered.
• Possess experience in coding with any of the following programming languages: ASP.Net, C#.Net, MS SQL, Java, J2EE, Spring, Oracle, JavaScript, etc.
• Candidates with more relevant experience can be considered for the senior role

Interested applicants may send in their detailed resumes in MS Word to Bryan @ [email protected]

Best Regards

IT Consultancy & Services Pte Ltd

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

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The Lee Kong Chian Natural History Museum (LKCNHM) was established in 2015, but its collection of natural history specimens spans more than two centuries, and continues to increase. Apart from physical specimens, it manages a growing collection of digital resources including images, publications, and other types of digital records which are necessary for research and education. We are seeking a dynamic and suitably qualified individual to lead in, suggest solutions and implement systems/strategies to manage this growing digital footprint and to work with LKCNHM subject specialists to curate and archive the large amount of scientific and other data, and information generated through research on biodiversity in Southeast Asia. The individual will play a pivotal role in ensuring that scientific data and information is managed in such a way that allows easy and smooth access to users, thus supporting the advancement of research and education.

Duties and responsibilities include, but are not limited to the following -

1) Scope and develop a platform to serve as a biodiversity information gateway for Singapore biodiversity information.
2) Assist with all museum-wide aspects of information and data relating to the collections: organizing information, storage, preservation and use of data on the collections
3) Relate and link various databases and other digital resources that come under LKCNHM to be accessible through the biodiversity information gateway.
4) Curate and/or organise the digital collections at LKCNHM, including new genomic, imaging, specimen, collection and other data that will continuously be generated.
5) Specific duties include:

• Setting up and managing core digital platforms/facilities within the LKCNHM.
• Maintaining the biodiversity information gateway for public delivery of data (for use by researchers, educators or interest groups for example).
• Managing and enhancing the integrity and accuracy of the digital collection information systems, including the collection database, and other digital records.
• Working with museum staff to improve specimen metadata, such as through photography, geo-referencing, and linking with host specimen records; and to support the on-line presence of the collection, contributing to the LKCNHM website.
• Facilitating data contribution to national and international data repositories.
• Managing data storage and preservation, including local servers and cloud services, and maintaining an appropriate back-up strategy.
• Recruiting and supervising interns and/or student assistants within the digital collection and biodiversity informatics; ensuring appropriate training, orientation, evaluation and discipline.
• Developing and preparing short monthly and annual reports and project reports for the digital collection.
• Work with the Museum curators and Research Associates to develop and implement policies, standards, and procedures (e.g. developing standard operating procedures for accessioning and databasing of specimen and associated data).
• Other related duties as assigned.

Qualifications/Requirements/Other Info

1) BSc or above in data science or digital management.
2) Two years of working or training experience on data management or similar related work.
3) Strong English writing and verbal skills.
4) Documented ability to multi-task and work well in a team.

Desirable skills:
1) Able to manage multiple stakeholders.
2) Able to manage projects within tight timeline.
3) Some understanding of specimen imaging and digitization.
4) Singapore class 3 driving licence is advantageous.

- Remuneration is based on a 12-month salary structure, with annual variable bonus which is subject to incumbent’s performance and the University/School’s prevailing remuneration policies.

- The incumbent will be emplaced at an appropriate appointment grade based on his/her individual merits.

Job Responsibilities:

• Supervise, monitor, and direct the performance of Data Centre Services (Deployment of racks, trays, hardware, customer requests through ticket management, reverse logistics, supporting parts storage and replenishment)

• Monitor daily Service Level Objective (SLO) and Service Level Agreement (SLA) - (multiple sites)

• Develop an operational team strategy to achieve Service Standards & SLA KPI’s.

• Professionally monitor and train team’s performance, provide on the job coaching and evaluate performance, compare results to objectives.

• Recommend or initiate hiring, promotions, transfers or disciplinary actions.

• Conduct regular safety and task specific training both theoretically and practical.

• Ensure all services are completed accurately and on time, in accordance with customer policies, including safety requirements.

• Establish, maintain, and promote exceptional customer service.

• Properly maintain and inspect tools & equipment.

• Schedule Maintenance Services as necessary to maintain the facility’s infrastructure systems in accordance with maintenance programs including, but not limited to, 5S (floor and room organization, supplies, and upkeep).

• Always ensure an appropriate number of personnel on site.

• Oversees daily management of staff and manage the flow of Data Centre day-to-day operations

• Perform all services as efficiently as possible while limiting negative impact to the environment.

• Attend regular meetings with customers to report issues, analyze quality, review performance, and/or resolve issues.

• Correctly maintain and generate required reports, including trends surrounding the services.

• Correctly interpret and enforce company policies and safety procedures to ensure compliance.

• Manage team capacity & utilization for assigned tasks during normal operations SLA & standards

• Requires traveling to multiple sites if required.

Job Requirements:

• Minimum Required Experience: 3+ years of experience in a similar role. Preferred Tertiary educational level.

• Strong communication skills (verbal and written) in English for handling English speaking people and local country language.

• Focused on safety.

• Must have Team Management experience.

• Intermediate to Advanced computer skills (Word, Excel Powerpoint).

• Able to identify basic network components and understanding of computer terminologies.

• Ability to rapidly learn Standard Work Instructions (training and job shadowing to be provided).

• Data analysis skills.

• Attention to detail.

• Work independently and as part of a team. Ensure tasks are completed correctly and quickly.

• Must be comfortable working in a physically demanding environment.

• Ability to lift/move (~25 kg / 50 lbs.) equipment as required.

• Knowledge of machines, equipment and maintenance.

• Experience in handling multiple projects and tight timelines.

• Vendor interaction and relations experience.

• Knowledge of principles and practices of effective customer service.

• Provides direction, instructions and guidance to team members to ensure achievement of Service

• Work closely with the data product team and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Design and build robust and scalable data ingestion and data management solutions for batch-loading and streaming data sources.
• Enable ingestion checks and data quality checks for all data sets in the data platform and ensure the data issues are actively detected, tracked, and fixed without breaching SLA.
• Work with members in the team to establish best practices and internal processes to enhance the data pipeline operations.
• Coach junior team members through architecture design review and code review.
• At least 5 years of experience working as a data engineer or backend developer in a big data field.
• Solid working knowledge of implementing the optimal data structures and algorithms to create efficient and scalable applications in Java or Python.
• Experience in application integration with Snowflake, Oracle and MS-SQL.
• Experience in the Systems Development Life Cycle implementation methodology (SDLC) and/or agile methodologies like Scrum and Kanban.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment and familiar with shell scripts and command line tools.
• Understand and apply the good industry practice of code versioning, testing, CICD workflow and code documentation.
• Familiarity with AWS services will be an added advantage.
• Good team player, with strong analytical skills and enjoy complex problem solving with innovative ideas.
• Good communication and people skills required to interact with data analysts, business end-users and vendors to design and develop solutions.
• Good at working with details and is meticulous for operations.

SKILLS: PYTHON SQL SNOWFALE, CICD, ORACLE, UNIX, LINUX, aws

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Career Advisor who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Uncapped, Attractive Sales Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements

• Coordinate interviews between candidates and clients

• Develop connections and new business and relationship management sources with existing accounts

• Engage in networking and building relationships with business partners and jobseekers

• Ensure that the company's objectives and sales targets are met

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

What Will You Do

• Telemarketing or Cold Calls to identify and develop strong clients’ accounts, both new and existing business to achieve sales targets
• Serve with urgency and commitment to support and fulfil clients and candidates needs
• Source suitable candidates via advertising, resume mining, networking and referrals
• Screen resumes, short-list, interview and select the right match of candidates according to clients’ requirements and job responsibilities.

What You Will Need to Succeed

• Communicate and speak well in English
• Competitive, quick on the feet and achievement-oriented.
• Result-oriented and sales-focused.
• People-oriented with excellent customer service skill.
• Meticulous and attention to detail.
• Able to work independently and a team player
• Able to multi-task and perform under stress.
• Possess high energy level and enjoy working in a fast-paced environment

Job Information:

• Location: Tuas (company Transport Provided: Boon Lay MRT ONLY (8.10am, 5.40pm)
• Working Hours: Mon to Fri (8.30am to 5.30pm)
• 1 year contract with 1 month Completion Bonus

Responsibilities:

• Support the marketing team in administrative tasks, marketing communication and 2 plans in alignment with business and brand objectives for Singapore Market
• Help to conduct Customer Satisfaction Survey and marketing survey.
• Assist in marketing and advertising promotional activities (e.g. social media, direct mail and web)
• Help distribute marketing materials, goodie bags etc. in accordance to brand platforms and visual identity guidelines in the correct representation of all brands
• Manage and update company database and customer relationship management systems (CRM)
• Help to organize marketing events
• Support various scales and types of events and product launches encompassing logistics, invitations, communication materials, presentations, video content, external vendor management and measurement of success
• Conduct market analysis on competitor activities to provide intelligence and basis for sales and marketing strategies and ideas

Requirement:

• Diploma/ Degree in Marketing or Communications
• Solid understanding of key marketing communications principles

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.

Should you be interested in this position, please contact Coco at 8121 4759 your resume directly for fast respond.

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. R23117223 (Poh Siew Ling)

• Up to $5,000 Basic + Bonus + Benefits
• Permanent position/ based in Singapore HQ at Paya Lebar/ 5 workdays/ Overseas business trip available
• knowledge in Electrical/ Mechanical design and construction of building projects preferred.

Our Client, a reputable MNC and leading A1 Main contractor diverse in building, civil and infrastructure projects.

Job Responsibilities:

• Reporting to HOD
• Research and support in implement M&E Design Standard in local and overseas branch office.
• Participate in design progress from Bidding, Design, Construction and Hand-over.
• Review RFP documents/drawings for Bid
• Review and check the design & quality of design documents/drawings, MEP-simulation-model from the Electrical/ Mechanical design viewpoint.
• Site inspection to Appraise works/ products to ensure compliance to specifications and requirements if required.

Job Requirements:

• Bachelor’s Degree in Electrical/ Mechanical Engineering or related field.
• Minimum 2 years of relevant working experience.
• knowledge in Electrical/ Mechanical design and construction of building projects preferred.

Other Information:

To apply please click on the APPLY button to submit your resume with the following details:

• Reason for leaving each past & current employment
• Salary drawn for each past & current employment
• Expected Salary
• Earliest availability date

We regret only shortlisted candidates will be notified.
Lionel Cheow
EA License | 14C7092
EA Registration Number | R1105005

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This team is responsible for developing, implementing, and tracking AI/ML models for driving enterprise digital personalization in prospect marketing and automating data capability and model governance.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

Responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions

Minimum qualifications:

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Ability to learn quickly and work independently with sophisticated, unstructured initiatives
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This team is responsible for developing, implementing, and tracking AI/ML models for driving enterprise digital personalization in prospect marketing and automating data capability and model governance.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

Responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions

Minimum qualifications:

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Ability to learn quickly and work independently with sophisticated, unstructured initiatives
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

• ONLY Singaporean / Resident as no quota for work pass.
• Business : Industrial equipment supplier.
• 5 Days work week, 8.30am - 5.30pm
• Nearest MRT - Potong Pasir
• Public Transport : Bus 125
• Monthly Salary : $2000 to $3000 (depend on experience)

**No experience but with knowledge on Auto CAD and SolidWorks are welcome !

Job Requirements & Duties :

• NITEC in Mechanical / Mechatronics/ Electrical Engineering
• Must have good practical knowledge in AutoCAD or SolidWorks in Mechanical preferred.
• Provided CAD design service to support customers' manufacturing
• Prepared quotation of aluminum frames and accessories to reply customers
• Assembly touch panel boxes and aluminum structure
• Team player & need to work on-site as and when required

To Apply >>

Please attach updated detail resume in MS WORD FORMAT (.doc file) with the following information:

1. Personal Particulars
2. Education
3. Work experiences (period of employment & job duty) in point forms
4. Last drawn salary in each employment

5. Expected salary
6. Reasons for leaving each employment
7. Earliest work commencement date / Notice period

We are seeking an experienced Project Manager with a specialized focus on Data Center moves to lead and oversee the successful execution of a critical data center migration project. The ideal candidate will possess strong project management skills, a deep understanding of data center infrastructure, and the ability to coordinate and collaborate with cross-functional teams.

Responsibilities:

1. Project Planning and Execution:

2. Risk Management:

3. Vendor Management:

4. Team Collaboration:

5. Resource Allocation:

6. Quality Assurance:

7. Documentation:

8. Compliance and Security:

Qualifications:

• Bachelor's degree in Project Management, Information Technology, or a related field.

• Proven experience as a Project Manager, with a focus on data center migrations.

• Strong understanding of data center infrastructure, including servers, networking, and storage systems.

• Excellent communication, leadership, and interpersonal skills.

• Familiarity with relevant industry standards and best practices.

• Project management certification (e.g., PMP) is a plus.

Job Responsibilities

• Providing 1st line support for the timely resolution of incidents and problems for a Data Center
• Engineers need to maintain Network Products
• Engineers need to provide 24/7 support when needed as well as required to participate in on-call duty.
• Monitor network performance and adhere to configuration policy and standards
• Must be able to read and understand Design, System Architecture Drawings, and technical deliverables

Job Requirements

• Singaporeans ONLY (Work Pass holders need not apply)
• Diploma qualification
• CCNA Certification
• Data Center experience is a MUST
• Must have hands-on experience working in Alcatel networking
• Very essential to have some hands-on maintenance experience on Network Products
• Experienced in Routing and Switching
• Must be capable of mounting switches and carrying weighted equipment
• Experience in tracing end users remotely as well as Network device power requirements
• Experience in structure cabling technologies and data center cabling methodologies
• Basic knowledge about servers (Wintel and Linux and virtualization)
• Exhibit excellent problem-solving/root-cause analysis skills

If you are keen in this role, you may also send us your updated CV in MS Words format to Christopher Wong at [email protected] for review and we will arrange for a convenient time to speak more.

We regret that only shortlisted candidates will be notified.

We are looking for driven individuals to join our growing team of Recruitment Consultants and become a part of the dynamic growth of the Asia Pacific Region.

They will support our clients in identifying, engaging and attracting exceptional talent for their most critical needs, and consult both parties to ensure seamless process management and purposeful delivery.

About us

Our professional services business works with thousands of organizations across the world, ranging from the Fortune 500 through to venture backed start-ups – all of whom use Phaidon’s services to find the right talent for their business-critical roles.

We deliver our capabilities through our deliberately curated group of 6 brands, each one specializing in the following industries where a relentless supply demand imbalance exists:

• Financial Sciences & Services
• Engineering & Infrastructure
• Supply Chain
• Life Sciences
• Technology
• Regulatory & Legal

No experience working as a Recruitment Consultant?

We offer an intensive training program to teach you the ins and outs of the role! All of our management team internally started with Phaidon International as a fresh graduate or with a couple of years of sales experience so we truly do value training and developing our staff into senior positions organically!

Perks!

Successful individuals will benefit from (but not limited to) the following:

• Extensive client and candidate network with a strong business reputation in the market to set you up for success
• Promising career progression: We set achievable goals and promote based on merit. Most of our consultants achieve multiple promotions within their first 6-18 months in the business.
• A competitive base salary + uncapped monthly commission: There is no limit to your earning potential
• Comprehensive training and development program throughout your career: Cater to needs at different stages of your career
• On the job training provided by organically-groomed leaders to ensure your market expertise
• Recognition based rewards and leading healthcare benefits

Our Values

We have won awards not only in our end markets, but for our internal culture, development and our ED&I. We care about who we work with and how we can make a difference. This also applies to who we hire. We seek individuals who are passionate about finding solutions for our clients and in turn we provide the platform to achieve success.

Reimagine your potential by joining the award-winning team!

About the client:

Our client is a reputed organization

Responsibilities:

• Design and create data models to store and access data for reporting and analysis.
• Organise, build and maintain data stores of structured and unstructured data on a Cloud environment.
• Build data pipelines to enable scalable processing of large volumes of data.
• Support data optimisation of real-time and batch Machine Learning models
• Work with stakeholders to identify and solve business needs related to advanced data processing.
• Work with data ingestion processes to identify data sets aligned to stakeholder’s requirements.

Requirements:

• Bachelor’s Degree in Statistics, Mathematics, Computer Science or area with strong quantitative content
• 4 years of experience in data engineering
• Strong experience in Specialist Data Modeling
• Solid knowledge and hands-on experience of managing messaging tools like Kafka.
• Experience in providing End to End Enterprise solution.
• Experience implementing complex ETL and data extraction projects from scratch.
• Fluency in Python, Spark, HIVE-QL, Hadoop eco-system, data-centric workflow management tools Unix/Linux/HDFS environments
• Proficiency in SQL and RDBMS
• Good working knowledge of Git and CI/CD pipelines
• Experience in Graph database desirable but not mandatory
• Thorough knowledge of data security, privacy, and compliance regulations
• Basic skills in artificial intelligence and linear tree models

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

We regret to inform that only shortlisted candidates will be contacted

PERSOLKELLY Singapore Pte Ltd
EA License No. 01C4394
EA Reg No: R1551772 (Kankanala Lakshmi Prasanna)

**********************************

The information contained in this e-mail and any accompanying documents may contain information that is confidential or otherwise protected from disclosure. If you are not the intended recipient of this message, or if this message has been addressed to you in error, please immediately alert the sender by reply e-mail and then delete this message, including any attachments. Any dissemination, distribution or other use of the contents of this message by anyone other than the intended recipient is strictly prohibited.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an emailto let us know. Please feel free to contact us if you have any queries.

All parties involved in any form of workforce engagement are to strictly adhere to prevailing regulations and laws that govern local fair employment practices, and to invest reasonable efforts in building a strong Singaporean core workforce, recruit and select candidates based on merit and prohibit discrimination based on age, race, gender, religion, marital status and family responsibility or disability. For more information, please refer to MOM and TAFEP websites.

**********************************