Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail, and supply chain.

We are currently looking to hire Data Engineer . This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

We are seeking a skilled and motivated Intermediate Data Engineer to join our dynamic team. The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Responsibilities:

1. Data Pipeline Development: Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.
2. Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.
3. Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.
4. Data Quality Assurance: Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.
5. Collaboration: Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.
6. Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.
7. Documentation: Document data engineering processes, data models, and configurations for knowledge sharing and future reference.
8. Adherence to Best Practices: Stay current with industry trends and best practices in data engineering within company and ensure the adoption of these practices within the team.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of proven experience as a Data Engineer or similar role.
• Strong proficiency in programming languages such as Spark SQL and Python in a HIVE environment.
• Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc.
• Experience in CI/CD pipeline and working in an Agile environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Knowledge of data warehousing concepts and technologies.
• Candidates with experience in the Banking Industry will have an added advantage.
• Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.

Job Type: One-year Renewable Contract

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to [email protected]. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Deepa Shivakoti

Reg No: R1765546

Avensys Consulting Pte Ltd
EA Licence 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

We are seeking a skilled and motivated Intermediate Data Engineer to join our dynamic team. The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Responsibilities:

1. Data Pipeline Development: Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.
2. Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.
3. Data Integration:Integrate diverse data sources and formats to enable seamless data flow across systems.
4. Data Quality Assurance:Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.
5. Collaboration: Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.
6. Performance Optimization:Identify and address performance bottlenecks in data processing and storage systems.
7. Documentation: Document data engineering processes, data models, and configurations for knowledge sharing and future reference.
8. Adherence to Best Practices: Stay current with industry trends and best practices in data engineering within company and ensure the adoption of these practices within the team.

Requirement/Skillsets:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of proven experience as a Data Engineer or similar role.
• Strong proficiency in programming languages such as Spark SQL and Python in a HIVE environment.
• Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc.
• Experience in CI/CD pipeline and working in an Agile environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Knowledge of data warehousing concepts and technologies.
• Candidates with experience in the Banking Industry will have an added advantage.
• Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.

EA License Number : 11C4879

About the job Reporting and Analytics Developer/Data Engineer

We are seeking a highly skilled and experienced Big Data Engineer to join our team. The ideal candidate must have a minimum of 4 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform. Overall experience can be 4 to 10 years. Consultant/ Senior Consultant preferably. The successful candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs as per business requirements. Candidate will also be integrating data sets to provide seamless data access to users.

Key Responsibilities:

• Analyze the Authoritys 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 Authoritys 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 are we 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.

We are seeking a skilled Data Engineer with expertise in Informatica, data engineering, data analysis, and SQL. The ideal candidate will play a pivotal role in managing data pipelines, ensuring data quality, and delivering actionable insights through dashboards. This position also involves collaboration with clients and stakeholders to understand their data needs and deliver tailored solutions.

• Experience: 7+ years of experience in data engineering or a related field, with a strong focus on ETL processes and data analysis.
• Technical Skills:Proficiency in Informatica
  Strong SQL skills for data manipulation and querying.
  Experience with data visualization tools (e.g., Tableau, Power BI).
  Familiarity with programming languages (e.g., Python, Java) is a plus.
  
• Analytical Skills: Excellent analytical and problem-solving abilities, with a strong attention to detail.
• Communication Skills: Strong verbal and written communication skills, with the ability to explain complex data concepts to non-technical stakeholders.
• Project Management: Ability to manage multiple tasks and projects simultaneously, prioritizing effectively to meet deadlines.

Job Description

We are seeking a skilled and motivated Intermediate Data Engineer to join our dynamic team. The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Responsibilities:

1. Data Pipeline Development:Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.
2. Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.
3. Data Integration:Integrate diverse data sources and formats to enable seamless data flow across systems.
4. Data Quality Assurance:Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.
5. Collaboration:Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.
6. Performance Optimization:Identify and address performance bottlenecks in data processing and storage systems.
7. Documentation:Document data engineering processes, data models, and configurations for knowledge sharing and future reference.
8. Adherence to Best Practices:Stay current with industry trends and best practices in data engineering within company and ensure the adoption of these practices within the team.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of proven experience as a Data Engineer or similar role.
• Strong proficiency in programming languages such as Spark SQL and Python in a HIVE environment.
• Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc.
• Experience in CI/CD pipeline and working in an Agile environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Knowledge of data warehousing concepts and technologies.
• Candidates with experience in the Banking Industry will have an added advantage.
• Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.

EA Number: 11C4879

Job Description

We are seeking a skilled and motivated Intermediate Data Engineer to join our dynamic team. The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Key Responsibilities:

Data Pipeline Development: Design, implement, and maintain scalable data pipelines for extracting, transforming, and loading large datasets.

Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.

Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.

Data Quality Assurance:Implement and monitor data quality checks to ensure the integrity of data throughout the lifecycle.

Collaboration: Work closely with business analysts, colleagues, and stakeholders to understand data requirements and deliver effective solutions.

Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.

Documentation: Document data engineering processes, models, and configurations for knowledge sharing and future reference.

Adherence to Best Practices: Stay updated on industry trends and best practices in data engineering and promote their adoption within the team.

Requirements:

· Bachelor’s degree in computer science, Information Technology, or a related field.

· Minimum of 5 years of proven experience as a Data Engineer or in a similar role.

· Strong proficiency in programming languages like Spark SQL and Python, especially in a HIVE environment.

· Familiarity with cloud platforms (AWS), Big Data infrastructure, and tools such as Jira and Bitbucket.

· Experience with CI/CD pipelines and working in an Agile environment.

· Excellent problem-solving skills and attention to detail.

· Strong communication and collaboration skills.

· Knowledge of data warehousing concepts and technologies.

· Candidates with experience in the Banking Industry will have an added advantage.

· Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.

Primary Skills
 15+ Years Experience in Data Engagements, especially leading data strategy, roadmap and implementation

Banking Experience and Corporate Credit Domain Knowledge is must
 Architecture: Enterprise Data Strategy & alignment to Business Strategy, Transformation Projects, various data and warehouse architecture models, Information flow, Integration/interfacing models/approach, Business Information Models, Logical Data Models, Canonical models, Data Life Cycle Management, Reporting (Analytical, Compliance, Regulatory, Models)
 Data Migration: Strategizing, planning, costing, execution, data retention/archival and disposal.
 Master Data Management: Strategy & Execution, Multi-domain. Tools: Informatica MDM, Stibo PIM, Talend Data fabric
 Data Governance: Data/Information governance capability Assessment (as-is, to-be), Framework design, models, roadmap & Execution
 Architecture Tools: PowerDesigner, ArchiMate, Toad, ERWin
 Design Methodologies: Normalized/De-normalized designs, ER-Models, Star schema models, relational models, Hierarchical models, Inmon and Kimball methodologies
 PostGres DB, Oracle, SQL Server, DB2, Teradata, Hive, Pig, Impala, MongoDB, Cassandra, HBase, Snowflake
 Additional Skills
 Programming & GUI: MS SQL, PL/SQL, NoSQL, Shell Scripting, VBA, T-SQL, DAX, MS SSRS, Oracle Forms (6i, 9i & 10g), Intellimatch, MS Access
 RDBMS: Oracle 9i/10g (SQL,PL/SQL), MS SQL Server 2008/ 2012/2014, Oracle 9i AS/10g
 Web/Cloud tools: Site Core, Amazon AWS, WordPress, Google Analytics/GTM reporting
 Management Tools: MS Project, MS Office (Access, Excel, Word, PPT), JIRA, rLean
 TOGAF for Architecture, DAMA – DMBoK.

Job Description:

• Programming skills in Python.
• Training and deploying machine learning models end to end.
• Good understanding of basic statistics and deep learning techniques.
• Any experience in data integration, profiling, validation, and cleansing.
• Experience deploying TensorFlow and PyTorch into production.

Role:Data Architect

JD:

Description:

 Primary Skills
 15+ Years Experience in Data Engagements, especially leading data strategy, roadmap and implementation
 Architecture: Enterprise Data Strategy & alignment to Business Strategy, Transformation Projects, various data and warehouse architecture models, Information flow, Integration/interfacing models/approach, Business Information Models, Logical Data Models, Canonical models, Data Life Cycle Management, Reporting (Analytical, Compliance, Regulatory, Models)
 Banking Experience and Corporate Credit Domain Knowledge is must
 Data Migration: Strategizing, planning, costing, execution, data retention/archival and disposal.
 Master Data Management: Strategy & Execution, Multi-domain. Tools: Informatica MDM, Stibo PIM, Talend Data fabric
 Data Governance: Data/Information governance capability Assessment (as-is, to-be), Framework design, models, roadmap & Execution
 Architecture Tools: PowerDesigner, ArchiMate, Toad, ERWin
 Design Methodologies: Normalized/De-normalized designs, ER-Models, Star schema models, relational models, Hierarchical models, Inmon and Kimball methodologies
 PostGres DB, Oracle, SQL Server, DB2, Teradata, Hive, Pig, Impala, MongoDB, Cassandra, HBase, Snowflake
 Additional Skills
 Programming & GUI: MS SQL, PL/SQL, NoSQL, Shell Scripting, VBA, T-SQL, DAX, MS SSRS, Oracle Forms (6i, 9i & 10g), Intellimatch, MS Access
 RDBMS: Oracle 9i/10g (SQL,PL/SQL), MS SQL Server 2008/ 2012/2014, Oracle 9i AS/10g
 Web/Cloud tools: Site Core, Amazon AWS, WordPress, Google Analytics/GTM reporting
 Management Tools: MS Project, MS Office (Access, Excel, Word, PPT), JIRA, rLean
 TOGAF for Architecture, DAMA – DMBoK.

We are seeking a talented Data Engineer experience in Quantexa with expertise in Hadoop, Scala, Spark, Elastic, Open Shift Container Platform (OCP) and DevOps practices.

As a Data Engineer, you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch.

You will collaborate with cross-functional teams to build scalable and efficient data processing pipelines and search applications.

Knowledge and experience in the Compliance / AML domain will be a plus.

Working experience with Quantexa tool is a must.

Requirements

• Bachelor's or master’s degree in computer science, Software Engineering, or a related discipline
• Possession of Quantexa certification as a Data Engineer or Data Architect, with proficiency in the tool
• Proficiency in programming languages commonly employed in data engineering, including Spark, Python, Scala
• Demonstrated experience as a Data Engineer, utilizing Hadoop, Spark, and data processing technologies in large-scale environments
• Expertise in the Scala programming language and familiarity with functional programming principles
• Prior experience with the Quantexa tool is highly desirable
• Comprehensive understanding of Apache Spark architecture, including RDDs, DataFrames, and Spark SQL
• Advanced proficiency in designing and developing data infrastructure utilizing Hadoop, Spark, and associated tools (HDFS, Hive, Pig, etc.)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration via Kubernetes
• Knowledge of DevOps methodologies, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Graphana, Prometheus, and Splunk will be considered an added advantage
• Background in integrating and utilizing Elasticsearch for data indexing and search applications
• Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization techniques
• Experience with distributed computing, parallel processing, and handling large datasets
• Proficient in performance tuning and optimization methods for Spark applications and Elasticsearch queries
• Strong problem-solving and analytical capabilities with the capacity to debug and resolve intricate issues
• Familiarity with version control systems (e.g., Git) and collaborative development environments

has context menu

Job Description:

• Proficiency with SQL.
• Building data pipelines and architecture.
• Should have extensive experience with relational and NO-SQL databases.
• Should have proficiency in handling both structured and unstructured data sources.
• Strong experience deploying applications to cloud platforms like Azure, AWS.
• Interest in building efficient batch and streaming data engineering pipelines.
• Exposure to distributed data processing platforms like Spark.
• Proficiency with SQL.
• Building data pipelines and architecture.
• Should have extensive experience with relational and NO-SQL databases.
• Should have proficiency in handling both structured and unstructured data sources.

Key Responsibilities:

1. Responsible for the development of ETL pipeline in open source to

carry out data ingestion

2. Write programs to extract data from data lake and curated data layer

to meet business objectives

3. Collaborate with different teams to gather the understanding of the

application to design the ETL pipeline

4. Gather business and functional requirements, and translate these

requirements into robust, scalable, operable solutions that work well

within the overall data architecture

5. Participate in the full development life cycle, end-to-end, from

design, implementation, and testing, to documentation, delivery,

support, and maintenance and produce comprehensive, usable

dataset documentation and metadata

Requirements:

1.Programming languages: Python / Spark

2.Experience with Linux utilities & SQL.

3.Experience in using PySpark for data transformation.

4. Knowledge of AWS services such as Redshift, Glue, Cloudformation,

EC2, S3, Lambda.

5. ETL Tool Experience would be an added advantage

6. AWS Exposure would be an added advantage

Responsibilities

• Support daily business-as-usual (BAU) operations, audit and compliance
• Communicate with customer, vendor and BAU teams for data ingestion queries and issues
• Develop and modify Python scripts for data ingestion
• Write optimised SQL queries in Snowflake
• Manage data ingestion and DAG maintenance in Airflow
• Ensure documentation of applications

Requirements

• Bachelor's degree in information technology/ computer science / software engineering
• Knowledge and hands-on experience writing effective SQL queries and statements
• At least 5 years of experience in a similar capacity
• At least 3 years of proficiency in using Python to develop and modify scripts
• At least 3 years of proficiency in managing data ingestion and DAG maintenance in Airflow
• Knowledge in AWS services like S3, Data Lake, EMR, EC2, Lambda, Glue, Aurora, RDS Postgres, Airflow

Preferred Requirements

• Knowledge in PySpark
• 1-2 years of proficiency in using Snowflake, including query optimisation to control Snowflake’s warehouse cost
• Previous work experiences from investment banking/finance industry with demonstrated exposure to be ready to take on an individual contributor role

What do we do?

At Infosys Compaz (iCompaz), we focus on Digital Transformation for enterprises across industry vertical segments and services. We take clients on a rewarding journey of Digital Transformation, with strengths in AI, Data, User Experience, Cloud, Cybersecurity and Analytics, while also serving clients in their IT management in technology operations, infrastructure and applications. We serve a comprehensive client network spanning multiple industries and are helping clients meet the challenges of the digital economy in financial services, retail, transportation and logistics, telecom, services, and resource sectors, among others.

Why iCompaz?

• iCompaz is a Joint Venture between Infosys Limited and Temasek Holdings, both global leaders in their respective industries, and the JV was created exclusively to bring Digital Transformation capabilities and global skills to the ASEAN market. Temasek Holdings is a global investment company headquartered in Singapore. Infosys is a global leader in next-generation digital services and consulting, headquartered in Bangalore, India.
• We take pride in our fair employment opportunity. You are welcome at iCompaz regardless of age, race, gender, religion, marital status and family responsibilities, or disability.
• We offer an inclusive and diverse workplace environment to support your career aspirations. We have a strong emphasis on continuous learning to your professional and personal growth. If you are looking for an opportunity where you would be able to make an impact with what you are good at, and at the same time being able to explore any other area that interests or motivates you, WE’VE GOT YOU COVERED!

About the Company:

For more than 100 years, out client has earned a global reputation as a pure power expert. The company's Power Systems are equipped with its innovation, including generators, transfer switches, switchgear, and controllers. Powering everything from gas stations to hotels and hospitals, as well as military operations and airports.

Basic Function:

As the Sales Engineer leads and develops Generator Sets sales strategies to generate new business opportunities to Data Center customers. This role involves locating, developing, defining, negotiating, and closing business relationships with key accounts, end customers, consultants, and system integrators. The ultimate goal is to achieve profitable growth by converting Data Center project pipelines into actual orders.

Key Responsibilities:

• Generate new business by contacting potential customers and analyzing market strategies.
• Collaborate with local, regional, and global teams to close new business deals.
• Maintain key relationships with end customers, influencers, and contractors.
• Build and advance sales opportunity pipelines to closure.
• Set budget forecasts and sales targets for the SEA Data Center market.
• Provide project guidance and pricing strategy to distribution networks.
• Identify strategic alliances to expand solutions and market reach.
• Provide marketing and technical support to distribution partners.
• Analyze sales and market data for senior management.
• Promote company's Power Systems at trade events and collaborate on marketing collateral.
• Be the expert in Data Center power products and solutions.

Qualifications:

• Degree in Electrical or Mechanical Engineering with at least 3-5 years in power generation sales.
• Proven direct and channel sales track record, Data Centre experience preferred.
• Results-driven with strong competitive spirit.
• Team player with excellent interpersonal skills.

How to Apply:

Interested candidates, please submit your updated resume by using Apply button

*We regret to inform that only shortlisted candidates will be informed.*

Sarah Sevilla

Registration Number: R22107553

EA License No: 18C9027

Data Architect – 1-year contract

We are looking for a seasoned Data Architect with 15+ years of experience to drive data strategy, roadmap development, and implementation. The ideal candidate will possess strong banking and corporate credit domain knowledge.

Key Responsibilities

• Data Strategy & Architecture: Develop and align enterprise data strategies with business goals, focusing on various architecture models, data life cycle management, and reporting needs.
• Data Migration: Lead strategy, planning, costing, and execution for data migration, including retention and archival.
• Master Data Management: Execute multi-domain MDM strategies using tools like Informatica MDM and Talend Data Fabric.
• Data Governance: Assess current capabilities and design governance frameworks and roadmaps.
• Technical Skills: Utilize tools like PowerDesigner and ERWin for architecture, and work with databases such as PostGres, Oracle, SQL Server, and NoSQL solutions.

Additional Skills

• Programming: Proficient in MS SQL, PL/SQL, NoSQL, Shell Scripting, and VBA.
• Web/Cloud Tools: Familiarity with AWS, Google Analytics, and WordPress.
• Management Tools: Experience with MS Project, JIRA, and Office Suite.
• Frameworks: Knowledge of TOGAF and DAMA-DMBoK.

Qualifications

• Extensive experience in data engagements, particularly in banking.
• Proven leadership in data governance, migration, and master data management.

Sales Engineer (Data center)

Working Location: Jurong Pier Road - Boon Lay

Working Days: Monday - Friday

Working Hours: 8:30am - 5:15pm

Salary range: SGD 4,500 to SGD 6,500 monthly, 13th month, SGD 250 transport allowance

SPECIFIC RESPONSIBILITIES

• Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.
• Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.
• Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.
• Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.
• Establish budgetary forecasts and sales volume targets for the SEA DC market.
• Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.
• Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.
• Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.
• Analyze sales and market data to provide relevant information to senior management for decision making.
• Promote PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.

TRAVEL

• This position requires travel up to 50%.

QUALIFICATIONS / REQUIREMENTS

• Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.

The Supreme HR Advisory Pte Ltd || 14C7279

R22111009 Cheng Kai Ling

At our company, we are committed to becoming the premier, research-intensive biopharmaceutical company and are dedicated to providing leading innovations and solutions for today and the future.

Our Research Scientists are our Inventors. We identify and target steps in disease mechanisms or pathways that could be inhibited or enhanced. Our goal is to isolate a compound that is effective against a disease target. Using innovative thinking, state-of-the-art facilities and robust scientific methodology we collaborate to discover the next medical breakthrough.

We are seeking an Associate Scientist to join our Biomarkers & Data Analytics team at our research laboratory in Singapore. Our team focuses on synergizing medical and disease biology, imaging & omics technology, bigdata, and data science to discover, develop, and deploy novel biomarkers for diseases with critical unmet needs, and to accelerate the discovery and development of new drugs.

In this role, you will utilize artificial intelligence/machine learning (AI/ML) and image analysis techniques to develop imaging biomarkers using state-of-the-art medical imaging platforms (e.g., OCT, Fundus, MRI).

This position plays a role in transforming extensive preclinical and clinical imaging data, along with biobank data, into valuable insights that advances our drug discovery efforts. Additionally, you will collaborate closely with experienced scientists, learn from industry leaders, and contribute to impactful projects that have the potential to shape the future of medicine.

WHAT YOU WILL DO

Responsibilities include, but are not limited to:

• Execute routine in vivo ophthalmology and neuroscience image analysis to support drug development pipeline operations.
• Optimize, and troubleshoot the analysis of the in vivo medical images and data to support drug discovery, ensuring timely project execution.
• Proactively contribute to the development of novel imaging biomarkers, including the development of AI/ML-enabled software algorithms for image & data analysis.
• Analyze large datasets from biobanks/cohort studies to advance our understanding of human biology and disease processes.
• Contribute to scientific literature and database searches to help the team develop imaging biomarkers, inform drug development strategies, and generate business insights.
• Maintain data integrity and compliance by managing data lifecycle, accurate record keeping, authoring documentation including image analysis workflows, research reports, project meeting minutes and study logs.
• Collaborate with internal teams and external partners across multiple sites to enhance AI-based imaging workflows, actively contributing insights and developing automated solutions for imaging biomarker analysis.
• Participate in team meetings and contribute to discussions on project progress and findings. Attend and potentially present at relevant conferences, demonstrating a commitment to professional growth and knowledge expansion.
• Present findings and insights to the team and stakeholder.

WHAT YOU MUST HAVE

To be successful in this role, you will have:

• Bachelor’s or Master’s Degree in Genetics, Neuroscience, Biomedical Engineering, Data Science, Computer Science, Electrical Engineering, Bioinformatics, Computational Biology, or a related field.
• Previous experience in a research setting, particularly in developing and implementing AI-based imaging analysis pipelines is preferred.
• Hands-on experience in image processing, computer vision, or AI/Machine Learning, using languages like MATLAB, Python, or R; including scikit-learn, pytorch, tensorflow tools.
• Exposure to or at least strong understanding of big data (e.g., UK Biobank), epidemiology, statistical genetics/phenomics or public health is a plus.
• Hands-on experience with data analytics and visualization using MATLAB, Python (seaborn, matplotlib) or R (ggplot2, corrplot).
• Knowledge of imaging modalities used in ophthalmology and neuroscience is an advantage.
• Collaborative mindset and excellent communication skills to successfully partner and work with other team members as well as stakeholders across groups to achieve results.
• Strong organizational skills, attention to detail, and ability to work independently and as part of a team.
• Innovative mindset for experimenting with new ideas and approaches.
• Effective written and oral communication skills.

What You Can Expect:

• Opportunity to work at the interface of multiple disciplines and integrate medical and disease biology, imaging and novel technologies, bigdata/biobanks and AI-ML/data science.
• Collaboration with a team committed to leveraging AI/ML for drug development.
• Opportunities for applying your innovative mindset to experiment with new ideas and approaches.
• A supportive working environment that fosters career growth and continuous learning.

Additional Information:

• Please provide a LinkedIn profile, publications in conferences/journals, or any relevant profiles (Google Scholar, Github, Stack Overflow, Arxiv, and/or Kaggle) if available.

Our client is a Automotive Manufacturing MNC. Due to their current expansion plan, they are looking for a Luxury Sales Advisor (Front Line) to join their team, in hopes of developing the current high performing team. They are located in the Central.

Job Responsibilities

• Identify customer needs by understanding their background, reason for visiting, and purchasing timeline, building a comprehensive customer profile.
• Provide personalized information to educate and inspire guests, offering a customized experience based on their interests.
• Demonstrate expert knowledge of all products and services for owners/customers.
• Support sales efforts by capturing customer contact details and scheduling test drives for individual who interest/potential to buy.
• Consistently update the CRM system to ensure accurate and up-to-date sales and delivery information for management.
• Facilitate vehicle preparation and delivery appointments, offering customized orientations based on the customer’s individual preferences and comfort levels.
• Any other duties as assigned.

Requirements

• Min 2 years’ relevant working experience
• Good Customer Service
• Good Communication Skills

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 shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Summary:

• Basic up to $3500
• Location: East (Tai Seng)
• 5 Days, Office hours
• Attractive employee benefits

Responsibilities:

• Create, edit, and maintain comprehensive technical documentation, including instruction manuals and installation guides.
• Develop and uphold documentation templates, systems, and standard operating procedures (SOPs) to ensure uniformity and clarity across all materials.
• Collaborate with engineers and product managers to gather and analyze information on freezer or cooking machinery and associated software.
• Simplify complex technical concepts and instructions into easily understandable language for technicians and engineers.
• Participate in cross-functional teams from Europe and America to ensure effective documentation of new machinery features and software updates.

Requirements:

• Basic knowledge of Autocad and Solidworks is advantage
• Min Diploma or Degree in mechanical engineering or similar discipline

Please submit your updated resume in MS word format by using the APPLY NOW BUTTON.

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Jasmine Wong (R22107578)

Why Build Your Career with Us?

Our Culture

• Team-Centered Approach: We believe in the power of collaboration, where ideas are shared, and everyone’s input is valued. Working together helps us drive success and foster creativity.
• Lively and Fun Atmosphere: Our workplace thrives on energy and excitement, offering an environment where collaboration and innovation flourish. It's a place where every day brings new opportunities to engage, grow, and succeed.
• Recognition and Rewards: We celebrate achievements by acknowledging and rewarding exceptional performance, which boosts motivation and enhances job satisfaction. Recognizing contributions helps create a positive and encouraging work environment.

Growth Opportunities

• Career Growth: Our global expansion creates numerous pathways for career growth, enabling you to aim for higher-level positions or explore new roles within the organization.
• Professional and Personal Development: We invest in your career progression by offering extensive learning opportunities and development programs tailored to help you thrive and achieve your professional goals.
• Exposure to different department: Opportunities to work with various teams to gain new experiences and learn how to collaborate effectively with different areas of the organization.

Responsibilities:

• Work closely with top performers and learn new ways to improve sales revenue
• Promote client's product and services through face-to-face engagement
• Develop and implement strategic approaches to achieve business goals

Required skills:

• Ability to adapt and take on new challenges
• Vibrant and engaging attitude to every task
• Good work ethics

We welcome candidates with no experience or from different industries to apply, as coaching will be provided. Interested candidates, kindly click apply!

Summary:

• Good working environment
• Entry level is welcome to apply
• 5 days, normal working hour
• Location: East, Paya Lebar

Responsibilities :

• Design and build electrical systems and components.
• Diagnose and maintain electrical systems.
• Perform testing and validation of electrical components.
• Produce technical documentation and schematics.
• Assist with certification processes for electrical systems.
• Examine and address electrical problems.
• Engage in design reviews and system enhancements.
• Track project progress and ensure on-time delivery.

Requirements :

• Posses at least Degree in Electrical Engineering or a related field.
• Relevant experience is advantage

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Khor Wan Ying (R22109948)

Job Description:

• Enter and verify large amounts of information accurately and consistently from process Batch Records. Provide timely and accurate entry of process data in support of daily process monitoring and associated activities
• Help to ensure all data entry system procedures and guidelines are accurate and current. Ensure 100% accuracy of all information entered, right first time
• Perform validation of new or modified GDM objects. Support GDM administrators to ensure GDM objects are validated per procedure.
• Support administration of new and legacy data collection systems.
• Interact with and support data consumers and analytics. Routinely interact with data consumers, help to create necessary efficiencies. Work to build user confidence in the system
• Follows all training and policy guidelines established for the facility as well as all cGMP requirements. Ensures employee training profile is up to date at all times by regular monitoring of training lists (e.g. SAP Learning Portal) and completing all training in a timely fashion.
• Any other duties as assigned by your Supervisor/Manager

Job Requirements:

• Degree in any Science or related course

Interested candidates do attach your resume to [email protected]

Attn: Angela Celeste Poh Li Ying (R2095367)

Recruit Express Pte Ltd (99C4599)

up to 3.4K + 400 Allowance

Tuas

Pharma MNC

2 years contract

Office hour / monday to Friday

* Enter and verify large amounts of information accurately and consistently from process Batch Records. Provide timely and accurate entry of process data in support of daily process monitoring and associated activities

* Manage special requests for data collection, completion and/or verification

* Help to ensure all data entry system procedures and guidelines are accurate and current. Ensure 100% accuracy of all information entered, right first time

* Manage and Track workload, ensure all necessary process data is located and entered. Develop and utilize existing tools to examine, manage and track process data.

* Perform validation of new or modified GDM objects. Support GDM administrators to ensure GDM objects are validated per procedure.

* Support administration of new and legacy data collection systems.

* Support creation and management of Webstatistica user credentials

* Interact with and support data consumers and analytics. Routinely interact with data consumers, help to create necessary efficiencies. Work to build user confidence in the system

* Observe how Lonza users interact with GDM, understand their needs provide support as required

* Resolve data entry related analytics problems with users

* Follows all training and policy guidelines established for the facility as well as all cGMP requirements. Ensures employee training profile is up to date at all times by regular monitoring of training lists (e.g. SAP Learning Portal) and completing all training in a timely fashion.

* Any other duties as assigned by your Supervisor/Manager

How to Apply: Send your resume to Jocelyn Chan at [email protected] or contact via Telegram @jocelynchan.

Jocelyn Chan | Consultant | Recruit Express Pte Ltd (Healthcare & Lifescience) Company EA Licence Number: 99C4599 Personnel EA License: R1331820

Job Description:

• Enter and verify large amounts of information accurately and consistently from process Batch Records. Provide timely and accurate entry of process data in support of daily process monitoring and associated activities
• Help to ensure all data entry system procedures and guidelines are accurate and current. Ensure 100% accuracy of all information entered, right first time
• Perform validation of new or modified GDM objects. Support GDM administrators to ensure GDM objects are validated per procedure.
• Support administration of new and legacy data collection systems.
• Interact with and support data consumers and analytics. Routinely interact with data consumers, help to create necessary efficiencies. Work to build user confidence in the system
• Follows all training and policy guidelines established for the facility as well as all cGMP requirements. Ensures employee training profile is up to date at all times by regular monitoring of training lists (e.g. SAP Learning Portal) and completing all training in a timely fashion.
• Any other duties as assigned by your Supervisor/Manager

Job Requirements:

• Degree in any Science or related course

Interested candidates do attach your resume to [email protected]

Attn: Angela Celeste Poh Li Ying (R2095367)

Recruit Express Pte Ltd (99C4599)

Join our team as a Telemarketer where you will engage potential clients over the phone, identify their needs, and promote our products and services. You will play a crucial role in achieving individual sales targets while receiving comprehensive training and support.

Job Responsibilities:

• Conduct outbound calls to prospective clients to sell digital marketing solutions
• Understand and articulate our services' features, prices and benefits
• Identify customer needs and suggest appropriate solutions
• Follow up with leads and maintain ongoing communication to nurture relationships and drive conversions
• Arrange meetings with clients and demonstrate how our services can meet their needs
• Keep records of calls and record useful information
• Achieve monthly sales targets and goals

Job Requirements:

• Proficiency in Microsoft Office applications
• Previous experience in B2B telemarketing or sales preferred
• Self-motivated and goal-oriented with a passion for achieving results
• Proficiency in speaking to English and Chinese customers

Job Remuneration:

• Hourly rate: SGD 8 - 13
• Attractive incentives will be given
• Opportunities for growth and advancement

Working Days/Hours:

• Flexible part-time hours, min 3 days/week, 5 hours/day

Interested candidates, please email your updated resume to [email protected]. We look forward to receiving your application.

Only shortlisted candidates will be notified.