Total 1,457 Senior Executive data entry clerk job vacancies in Singapore

Role: Senior Data Engineer

Job level: More than 10 years of relevant experience (L4)

Key skills:

AS400, Hadoop, Data Lake, SQL, Informatica

Key Responsibilities:

· Design, develop, and implement data processing pipelines to process large volumes of structured and unstructured data

· Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, Kudu).

· Should have good knowledge and working experience in scripting using (Shell script, awk programming, quick automation to integrating any third-party tools), BMC monitoring tools

· Good understanding and knowledge in Data Modelling area using industry standard data model like (FSLDM)

· Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions

· It will be good to have experience in working with No SQL as well as virtualized Database Environment

· Implement data transformations, aggregations, and computations using Spark RDDs, Data Frames, and Datasets, and integrate them with Elasticsearch

· Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

· Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

· Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

· Prior experience in developing banking application using ETL, Hadoop is mandatory. In depth knowledge of technology stack at global banks is mandatory.

· Flexibility to stretch and take challenges

· Communication & Interpersonal skills

· Attitude to learn and execute

Key Requirements:

• 7+ years of AS400, RPG, CLP & SQL

• Knowledge of Aldon Change Management System(ACMS) is a must·

• Experience in developing Hadoop

• Experience in data lake (integration of different data sources into the data lake)

• SQL Stored Procedures/Queries/Functions

• Unix Scripting

• Experience with distributed computing, parallel processing, and working with large datasets

• Familiarity with big data technologies such as Hadoop, Hive, and HDFS

• Job Scheduling in Control-M

• Strong problem-solving and analytical skills with the ability to debug and resolve complex issues

• Familiarity with version control systems (e.g., Git) and collaborative development workflows

• Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams.

We are seeking a Project Assistant to join our team!

Location: Pasir Panjang, Singapore

Team: Part of a team of 7 within a larger workforce of 500.

Key Responsibilities:

Support project activities with flexibility in work scope.

Source quotations and conduct research on new topics.

Manage day-to-day operations.

Qualifications:

• Ability to adapt to a fast-paced environment.
• Street smart; educational background is not a priority for this role.
• Enjoys working with people.
• Interest in playing multiple roles and working in a dynamic environment.
• Willingness to work beyond contractual hours (compensatory time off will be provided).

If you are looking for an interesting role and are tired of administrative desk-bound positions, this job is for you!

Reach us at 80353296 / [email protected]

Responsibilities

• Develop predictive models to identify high-value users for Marketing and Commercial teams
• Apply machine learning and/or statistical models to measure causal impact of Marketing initiatives
• Develop attribution models to quantify the impact of different campaigns, channels, and other initiatives on conversions
• Design and implement experiments to measure impact of ad spend, brand campaigns, and other Marketing initiatives
• Partner with Marketing, Commercial, Engineering, and cross-functional teams to inform, influence, support, and execute GTM strategy and investment decisions

Qualifications

• 5+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
• Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
• Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R), experience in schema design and dimensional data modeling a plus
• Expert in machine learning and statistical modeling to drive data-informed decisions, experience with deploying production machine learning models a plus
• Experience in technology, financial services and/or a high growth environment is advantageous

Responsibilities:

• Provide technical support for Protection System Projects/Services;
• Participate in testing and commissioning activities at site
• Perform wiring check in workshop and at site
• Effectively manage project timelines, resources, and deliverables, ensuring smooth project execution
• Ensure project documentation are maintain and updated timely

Requirements:

• Diploma/Degree in Electrical/Electronic Engineering from a recognised Polytechnic/University;
• A proven track record in Project Management is an advantage;
• Experience with SPPG substations (22 KV, 66 KV, 230 KV and 400 KV) is an advantage;
• Experience in site testing and commissioning;

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Job Title

Order Entry and Logistics Coordinator

Summary:

Candidate will be responsible for the triage and processing of Service Orders. These Service Orders are related to the coordination of new equipment installations for commercial vessels that have global sailing patterns.

The ideal candidate may have experience working for a Fleet Manager or a Maritime hardware supplier coordinating projects/services on vessels. Or comparable work experience in Field Service Operations for land-based telecommunications.

Essential Duties and Responsibilities:

Include but are not limited to the following:

• Triage and process Service Orders for KVH managed installations (Asia Pacific Region)
• Service Order entry into Baan ERP system
• Coordinate logistics requirements with Asia Pac Sales managers, customers or consignee, via phone and email, to ensure proper delivery of product
• Verify shipping and consignee/forwarding agent information
• Coordination with vessel sailing schedules
• Determination of proper shipping method
• Freight quotes with proper of Incoterms
• Provide needed shipping documentation for country specific Customs clearance
• Liaise with KVH functional groups as needed
• Sales Department – receiving, checking and processing new orders
• Finance Department – unblock orders and receive proper pre-payment from customer as necessary
• Shipping Department – ensure proper delivery terms and deadlines are communicated
• Coordinate service operations including scheduling and distribution of work for technicians, utilizing Salesforce to generate and manage work orders.
• Responsible for updating Salesforce with customer and vessel information
• Enter RMA orders (Return Materials Authorization) and follow up on returns related to Decommissioned units.

Qualifications/ Prerequisites:

• Minimum high school diploma or GCE “A” Level or equivalent required; Diploma.
• Fresh Graduates are welcome
• Demonstration of attention to detail and accuracy to ensure quality of subsequent processes
• Prior experience with international logistics company
• Prior experience working in a CRM system for case management is an added benefit (Salesforce)
• Prior experience working with an ERP system for inventory management is an added benefit (Baan)
• Ability to Problem solve, working independently and as part of a team
• Attention to detail and accuracy is a must
• Good command and knowledge of English with effective communication skills, responsible, reliable and an independent worker.

Salary commensurate with qualification and work experience

Job Description & Requirements:

As a Data engineer, you will be a part of a highly qualified team, leading the delivery of modern data platforms using Azure Services and Databricks.

• Designing and delivering software using an agile and iterative approach based on Scrum or Kanban
• Following and contributing to improvement of client's software engineering practices e.g., source code management, test-driven development, automated testing, CI/CD
• Supporting the Lead Data Engineer in technical architecture and design
• Building an understanding of how data is used within client's commercial activity, and using this knowledge when working with Business Analysts or users to identify system requirements
• Analyzing and estimating IT changes giving input on technical opportunities, constraints, and trade-offs
• Creating documentation and presenting to technical and non-technical audiences
• Providing handover to Support teams and providing third line support for short periods after releases
• Owning their own learning so that they remain a technical subject matter expert.

Technical Skills

• Having solid experience in data modeling, data warehousing, SQL Server database design and development (SQL, relational and dimensional modelling) Analytical querying using technologies such as SSAS cubes or columnar data stores, Python.
• ETL tools such as SSIS, Alteryx, Azure Data Factory
• Building data pipelines using code e.g. Pyspark
• Modern cloud-based data architectures and technologies such as Data Lake, Delta Lake, Data Lakehouse e.g. Azure Data Lake Gen 2, Azure Delta Lake Lakehouse architecture using Databricks, Hudi or Iceberg
• NoSQL using CosmosDB, MongoDB, DynamoDB etc.
• Python scripting, including data engineering and machine learning libraries
• Scripting languages such as Powershell, bash, DAX, M-language etc. (Note - We primarily use SQL, Pyspark and Python in our day-to-day work along with some coding around DAX, Bash, Powershell and other scripting languages. )
• Distributed computing mainly around Spark § Big data files formats e.g. Parquet, Avro, ORC etc.
• Big data technologies such as Hadoop, Hive, Map-Reduce, Partition design, performance tuning in Spark etc.
• Reporting and visualisation tools such as SSRS, Tableau, Power BI or Excel

Skills & Competencies

Data engineer, Kanban, scrum, powerBI, python, excel, SQL, tableau, SSIS, reporting, data analytics, azure, cloud

Responsibilities:

•Design & Architecture: You help to design and implement an optimal data pipeline architecture for the analytics system. Identify, design, and implement improvements to automate manual processes, optimize speed and efficiency of data delivery, architecting and designing for high availability, scaling, and reliability. Architect and design infrastructure to facilitate data extraction, transformation, export, and query of data from a variety of data sources, both internal and external, both small and large.

• Massive data: You will source / examine, analyze, engineer data pipelines for gigabytes/terabytes of structured and unstructured data with our platform to create value for customers. You will also be working with Enterprise data.

• Pushing the limits: This role will be on the cutting edge of our Data / Machine Learning platform. As we push to solve more of our customer challenges, you will be prototyping new features, tools, and ideas. Innovate at a very fast pace to maintain our competitive edge.

• Distributed Processing Engine: You will be masterfully working on the data platform which involves processing of both unbounded and bounded data sources, perform im-memory computation & transformation.

• Production deployment: You will be responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life.

• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company’s data and analytics needs.

• Educate, train, and mentor members of the Data Engineering and Analytics teams in the design, implementation, and usage of modern data systems

Skills: .

• Qualifications for Data Platform Engineer

Key Requirements:

• IT / CS fundamentals: You have earned at least a Bachelor’s / Master’s in Information Technology / Computer Science, or related degree AND you have a strong ethos of continuous learning.

• Commercial software engineering: You have 11+ years of professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills. Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging.

• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark. You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets.

• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay.

• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques. Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies.

• Real Time Systems: Understands evolution of databases for in-memory, NoSQL & indexing technologies along with experience on real-time & stream processing systems like Google pub/sub, GCP technologies, Kafka, Storm, Spark Streaming.

• Strong design skills: with a proven track record of success on large/highly complex projects preferably in Enterprise Apps and Integration. Advanced, hands-on knowledge of design, implementation, and optimization of big data architectures, pipelines, and data sets.

• Utilize data analytics to conduct thorough analysis of various trends to identify opportunities and risks. Provide regular updates to management on the performance of Key performance indicators (KPIs).
• Collaborate across various functions within the Business Group and other key stakeholders to meet the overall company objectives.
• Work closely with finance and other relevant teams to monitor and report on various financial metrics, identifying areas for improvement and efficiency gains.
• Knowledge of Power BI would be a plus.

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

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Role: Data Engineer

Job Title: Senior Data Engineer

Job Requisition Number: JR30694

Job Level: More than 10 years of relevant experience (L4)

Location: Singapore

Key Skills: AS400, Hadoop, Data Lake, SQL, Informatica

Job Objectives:

Work in Data Lake integration.

Key Responsibilities:

Design, develop, and implement data processing pipelines to process large volumes of structured and unstructured data

Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, Kudu).

Should have good knowledge and working experience in scripting using (Shell script, awk programming, quick automation to integrating any third party tools), BMC monitoring tools
Good understanding and knowledge in Data Modelling area using industry standard data model like (FSLDM)

Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions
It will be good to have experience in working with No SQL as well as virtualized Database Environment

Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch
Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards
Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration
Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

Prior experience in developing banking application using ETL, Hadoop is mandatory. In depth knowledge of technology stack at global banks is mandatory.

Flexibility to stretch and take challenges

Communication & Interpersonal skills

Attitude to learn and execute

Key Requirements:

· 7+ years of AS400, RPG, CLP & SQL

· Knowledge of Aldon Change Management System(ACMS) is a must·

· Experience in developing Hadoop

· Experience in data lake (integration of different data sources into the data lake)

· SQL Stored Procedures/Queries/Functions

· Unix Scripting

· Experience with distributed computing, parallel processing, and working with large datasets

· Familiarity with big data technologies such as Hadoop, Hive, and HDFS

· Job Scheduling in Control-M

· Strong problem-solving and analytical skills with the ability to debug and resolve complex issues

· Familiarity with version control systems (e.g., Git) and collaborative development workflows

Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

Please forward your resume in MS word format to [email protected] and

[email protected]

Please refer your friends for any IT openings as we have various positions.

Please do not send PDF Format Resume . Send the following details

1. Notice period

2. Current Salary

3. Expected Salary

4. Visa Status in Singapore

5. Current Location

As a Data engineer, you will be a part of a highly qualified team, leading the delivery of modern data platforms using Azure Services and Databricks.

Responsibilities:

• Designing and delivering software using an agile and iterative approach based on Scrum or Kanban
• Following and contributing to improvement of client's software engineering practices e.g., source code management, test-driven development, automated testing, CI/CD
• Supporting the Lead Data Engineer in technical architecture and design
• Building an understanding of how data is used within client's commercial activity, and using this knowledge when working with Business Analysts or users to identify system requirements
• Analyzing and estimating IT changes giving input on technical opportunities, constraints, and trade-offs
• Creating documentation and presenting to technical and non-technical audiences
• Providing handover to Support teams and providing third line support for short periods after releases
• Owning their own learning so that they remain a technical subject matter expert.
• Any ad-hoc duties as assigned by supervisors.

Technical Skills:

• Having solid experience in data modeling, data warehousing, SQL Server database design and development (SQL, relational and dimensional modelling) Analytical querying using technologies such as SSAS cubes or columnar data stores, Python.
• ETL tools such as SSIS, Alteryx, Azure Data Factory
• Building data pipelines using code e.g. Pyspark
• Modern cloud-based data architectures and technologies such as Data Lake, Delta Lake, Data Lakehouse e.g. Azure Data Lake Gen 2, Azure Delta Lake Lakehouse architecture using Databricks, Hudi or Iceberg
• NoSQL using CosmosDB, MongoDB, DynamoDB etc.
• Python scripting, including data engineering and machine learning libraries
• Scripting languages such as Powershell, bash, DAX, M-language etc. (Note - We primarily use SQL, Pyspark and Python in our day-to-day work along with some coding around DAX, Bash, Powershell and other scripting languages. )
• Distributed computing mainly around Spark § Big data files formats e.g. Parquet, Avro, ORC etc.
• Big data technologies such as Hadoop, Hive, Map-Reduce, Partition design, performance tuning in Spark etc.
• Reporting and visualisation tools such as SSRS, Tableau, Power BI or Excel

Interested applicants, please email your resume to Karin Chan Wei Kien

Email: [email protected]

CEI Reg No: R1104584

EA Licence No: 99C4599

Recruit Express Pte Ltd

Job Objectives

Work in Data Lake integration.

Key Responsibilities

· Design, develop, and implement data processing pipelines to process large volumes of structured and unstructured data

· Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, Kudu).

· Should have good knowledge and working experience in scripting using (Shell script, awk programming, quick automation to integrating any third party tools), BMC monitoring tools

· Good understanding and knowledge in Data Modelling area using industry standard data model like (FSLDM)

· Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions

· It will be good to have experience in working with No SQL as well as virtualized Database Environment

· Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch

· Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

· Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

· Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

· Prior experience in developing banking application using ETL, Hadoop is mandatory. In depth knowledge of technology stack at global banks is mandatory.

· Flexibility to stretch and take challenges

· Communication & Interpersonal skills

· Attitude to learn and execute

Key Requirements

· 7+ years of AS400, RPG, CLP & SQL

· Knowledge of Aldon Change Management System(ACMS) is a must·

· Experience in developing Hadoop

· Experience in data lake (integration of different data sources into the data lake)

· SQL Stored Procedures/Queries/Functions

· Unix Scripting

· Experience with distributed computing, parallel processing, and working with large datasets

· Familiarity with big data technologies such as Hadoop, Hive, and HDFS

· Job Scheduling in Control-M

· Strong problem-solving and analytical skills with the ability to debug and resolve complex issues

· Familiarity with version control systems (e.g., Git) and collaborative development workflows

· Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

• Design and draft of Electrical Single Line / Panel Diagram according to customer technical specification
• Maintain, update and correct drawings as needed, and ensure its accuracy and completeness
• Collaborate with project teams to facilitate drawing preparation
• Respond promptly to inquiries and request relating to the drawings

Requirements:

• Diploma/Degree in Electrical/Electronic Engineering from a recognised Polytechnic/University;
• Knowledge in Autocad and Eplan;
• Possession of team spirit, good communication and organising skills;
• A good team player with strong collaboration and stakeholders’ management skills;
• Excellent organizing skills, spoken and written communication skills.

· Our benefits and compensation for permanent position are as follows:

·

· Salary for experience candidates will be considered based on the years of experience and our internal salary structure

·

· 1 month AWS

· Variable Bonus ranging from 1 to 3 months depending on individual and company performance

· Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

· Working days: Monday to Friday (1 day work from home per week)

· Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

· 18 days up to 21 days for executive (Engineer and above)

· Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

· Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

· Term Life

· Personal Accident

· Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

· Flex Dollars of $500 per financial year

· Free annual year-end Health Check-Up

· Monthly Birthday Party Celebration

· Monthly Sports Activities

· New Born Gift

· CSR Initiatives

· Department Bonding Activities

· Biennial team building and staff appreciation dinner

· Gym Corner for employees to exercise

·

· Good Pay + Good allowance + Good Bonus

· Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

· Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

ADVANCE.AI is a leading AI company that provides digital transformation, fraud prevention, and process automation solutions for enterprise clients. A leader in Artificial Intelligence, risk management and digital lending solutions, it currently partners over 700 enterprise clients across banking, financial services, fintech, payment, retail and e-commerce sectors. ADVANCE.AI has a global footprint across 11 markets in 3 continents.ADVANCE.AI is a leading AI company that provides digital transformation, fraud prevention, and process automation solutions for enterprise clients. A leader in Artificial Intelligence, risk management and has a global footprint with operations across ASEAN and wider APAC and Latin America it currently partners over 700 enterprise clients across banking, financial services, fintech, payment, retail and e-commerce sectors. ADVANCE.AI has a global footprint across 12 markets in 3 continents.

ADVANCE.AI is part of Advance Intelligence Group, a Series D-backed Tech Unicorn valued at US$2 billion, and also one of the largest independent technology startups based in Singapore. Founded in 2016, the Group has presence across South and Southeast Asia, Latin America and Greater China. The Group is backed by top tier investors SoftBank Vision Fund 2, Warburg Pincus, Northstar,Vision Plus Capital, Gaorong Capital, Pavilion Capital, GSR Ventures and Singapore-based global investor EDBI.

Ranked as the No.1 Top Startup in Singapore in 2021, we are partners with 700+ enterprise clients across Southeast Asia, South Asia and Mexico in sectors such as banking, financial services, fintech, payment, retail and e-commerce.

Advance Intelligence Group employees are united by a shared vision and purpose: to Advance with Intelligence for a Better Life--for our customers, colleagues and communities.

Our culture is built on values that are core to who we are and what we stand for:

• We foster an INNOVATION mindset
• We achieve results with EFFICIENCY and excellence
• We take pride in the QUALITY of our work
• We uphold INTEGRITY in all we do
• We embrace COLLABORATION to work across business lines and borders

About the role:

We are seeking a highly skilled and motivated Senior Data Scientist to join our Identity Verification Product team. The successful candidate will lead data science efforts, focusing on leveraging big data to enhance our eKYC product's performance, optimize conversion rates, and strengthen our anti-fraud capabilities. This role involves managing a small team of data scientists and collaborating closely with product managers, engineers, and the AI research team to drive data-driven decisions and innovations.

You will:

• Data Strategy Development: Design and implement a comprehensive data strategy that aligns with the product’s goals, focusing on improving product performance and user experience through advanced analytics, predictive modeling, and machine learning techniques.
• Team Leadership: Lead, mentor, and grow a team of data scientists. Establish clear goals, manage project loads, and ensure high-quality research and data analysis in support of product development.
• Analytics and Insights: Conduct deep-dive analyses on large datasets to uncover actionable insights. Translate complex data findings into strategic recommendations for product enhancements, risk management, and customer journey optimization.
• Model Development and Evaluation: Develop and refine machine learning models to improve document verification, fraud detection, and biometric verification processes. Continuously evaluate model performance and implement improvements.
• Cross-functional Collaboration: Work closely with product managers, algorithm leads, and engineering teams to integrate data science solutions into the product, ensuring seamless implementation and optimization of data-driven features.
• Research and Innovation: Stay abreast of the latest developments in data science, machine learning, and identity verification technologies. Foster a culture of innovation within the team by exploring new methodologies and tools to enhance our product offerings.

What you'll need to succeed:

• Master’s or PhD in Computer Science, Data Science, Statistics, or a related field.
• Minimum of 4 years of experience in data science
• Proven expertise in machine learning, predictive modeling, and statistical analysis.
• Strong experience with data manipulation and analysis tools (e.g., Python, SQL) and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience in data visualization and tools (e.g., Tableau, Power BI, matplotlib).
• Excellent problem-solving skills and the ability to translate complex data into actionable insights.
• Strong communication and collaboration skills, with the ability to work effectively across different teams and stakeholders.
• Prior experience in eKYC, identity verification, fraud detection, or related fields is highly desirable.

Why you should join us:

• Competitive compensation package
• Private medical insurance
• Free lunch provided with amazing choices
• Hybrid working arrangements
• A collaborative and innovative work environment where your ideas are valued
• Office situated near MRT station

Job Description & Requirements:

As a Data engineer, you will be a part of a highly qualified team, leading the delivery of modern data platforms using Azure Services and Databricks.

• Designing and delivering software using an agile and iterative approach based on Scrum or Kanban
• Following and contributing to improvement of client's software engineering practices e.g., source code management, test-driven development, automated testing, CI/CD
• Supporting the Lead Data Engineer in technical architecture and design
• Building an understanding of how data is used within client's commercial activity, and using this knowledge when working with Business Analysts or users to identify system requirements
• Analyzing and estimating IT changes giving input on technical opportunities, constraints, and trade-offs
• Creating documentation and presenting to technical and non-technical audiences
• Providing handover to Support teams and providing third line support for short periods after releases
• Owning their own learning so that they remain a technical subject matter expert.

Technical Skills

• Having solid experience in data modeling, data warehousing, SQL Server database design and development (SQL, relational and dimensional modelling) Analytical querying using technologies such as SSAS cubes or columnar data stores, Python.
• ETL tools such as SSIS, Alteryx, Azure Data Factory
• Building data pipelines using code e.g. Pyspark
• Modern cloud-based data architectures and technologies such as Data Lake, Delta Lake, Data Lakehouse e.g. Azure Data Lake Gen 2, Azure Delta Lake Lakehouse architecture using Databricks, Hudi or Iceberg
• NoSQL using CosmosDB, MongoDB, DynamoDB etc.
• Python scripting, including data engineering and machine learning libraries
• Scripting languages such as Powershell, bash, DAX, M-language etc. (Note - We primarily use SQL, Pyspark and Python in our day-to-day work along with some coding around DAX, Bash, Powershell and other scripting languages. )
• Distributed computing mainly around Spark § Big data files formats e.g. Parquet, Avro, ORC etc.
• Big data technologies such as Hadoop, Hive, Map-Reduce, Partition design, performance tuning in Spark etc.
• Reporting and visualisation tools such as SSRS, Tableau, Power BI or Excel

Skills & Competencies

Data engineer, Kanban, scrum, powerBI, python, excel, SQL, tableau, SSIS, reporting, data analytics, azure, cloud

About Infosys:
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 50 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

Short Description:
If your passion is to build solutions that really make a difference to enterprises, the community and your world, Infosys is the right place for you.

Roles and Responsibilities:

• Data Modeling Delivery
• Exposure in overall SDLC
• Onshore – Offshore coordination
• Quality Assurance

Essential Skills:

• Data Modeling
• Banking Domain Experience
• FSDM or relevant modeling exp
• Technical expertise in Database and Data Technologies
• Ervin
• Degree/Degree in IT / Computer Science / related discipline.=> BE/B Tech/MSc/MCA

Preferred skills :

• Project Management
• Knowledge of Teradata, Informatica, Qlikview/Qliksense
• Data Warehousing
• Data Modeling
• Stakeholder Management

Additional Skills:

• Excellent customer interfacing skills.
• Excellent written and verbal communication skills.
• Strong attention to detail and outstanding analytical and Problem-solving skills.

Infosys is an equal opportunity employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender or other attribute covered by equal opportunity legislation.

Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third party vendors. In the absence of a signed agreement any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.

Responsibilities:
• Performs day-to-day broad range of HR activities including proper filing of documents
• Assisting with the process of recruitment such as, screening candidates, assist with scheduling interview, and issuing employment contracts
• Handle benefits and claims administration
• Maintain accurate HR database and up-to-date employee records
• Generates and maintain regular HR reports as required
• Handle any other ad-hoc duties as and when required

Requirements:
• GCE ‘O’ Level, NITEC, Higher NITEC or Diploma holder
• Minimum 1-year of relevant experience in HR administration.

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

The Job:

The Administrative Assistant is essential in ensuring the operation is seamless hence allowing us to deliver on our promises to clients.

Responsibilities:

* Process customer order

* Place order with supplier

* Stock in/ stock out of goods for deliveries

* Liaise with freight forwarder to arrange import/ export shipment

* Co-ordinate with sales support team on after-sale service activities

Qualifications:

· Minimum Diploma in Biotechnology, Business Administration or Accounting will be ideal

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

What you will do:

• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
• Work with large and complex data sets to solve a wide array of business problems using different analytical and statistical approaches
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

What you will bring:

• 5+ years industry experience and an advanced degree in a quantitative field
• Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
• Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R), experience in schema design and dimensional data modeling a plus
• Ability to perform statistical analysis to drive data-informed decisions
• Experience in technology, financial services and/or a high growth environment is advantageous

Job Description & Requirements:

As a Data engineer, you will be a part of a highly qualified team, leading the delivery of modern data platforms using Azure Services and Databricks.

• Designing and delivering software using an agile and iterative approach based on Scrum or Kanban
• Following and contributing to improvement of client's software engineering practices e.g., source code management, test-driven development, automated testing, CI/CD
• Supporting the Lead Data Engineer in technical architecture and design
• Building an understanding of how data is used within client's commercial activity, and using this knowledge when working with Business Analysts or users to identify system requirements
• Analyzing and estimating IT changes giving input on technical opportunities, constraints, and trade-offs
• Creating documentation and presenting to technical and non-technical audiences
• Providing handover to Support teams and providing third line support for short periods after releases
• Owning their own learning so that they remain a technical subject matter expert.

Technical Skills

• Having solid experience in data modeling, data warehousing, SQL Server database design and development (SQL, relational and dimensional modelling) Analytical querying using technologies such as SSAS cubes or columnar data stores, Python.
• ETL tools such as SSIS, Alteryx, Azure Data Factory
• Building data pipelines using code e.g. Pyspark
• Modern cloud-based data architectures and technologies such as Data Lake, Delta Lake, Data Lakehouse e.g. Azure Data Lake Gen 2, Azure Delta Lake Lakehouse architecture using Databricks, Hudi or Iceberg
• NoSQL using CosmosDB, MongoDB, DynamoDB etc.
• Python scripting, including data engineering and machine learning libraries
• Scripting languages such as Powershell, bash, DAX, M-language etc. (Note - We primarily use SQL, Pyspark and Python in our day-to-day work along with some coding around DAX, Bash, Powershell and other scripting languages. )
• Distributed computing mainly around Spark § Big data files formats e.g. Parquet, Avro, ORC etc.
• Big data technologies such as Hadoop, Hive, Map-Reduce, Partition design, performance tuning in Spark etc.
• Reporting and visualisation tools such as SSRS, Tableau, Power BI or Excel

Skills & Competencies

Data engineer, Kanban, scrum, powerBI, python, excel, SQL, tableau, SSIS, reporting, data analytics, azure, cloud

Responsibilities:
• Performs day-to-day broad range of HR activities including proper filing of documents
• Assisting with the process of recruitment such as, screening candidates, assist with scheduling interview, and issuing employment contracts
• Handle benefits and claims administration
• Maintain accurate HR database and up-to-date employee records
• Generates and maintain regular HR reports as required
• Handle any other ad-hoc duties as and when required

Requirements:
• GCE ‘O’ Level, NITEC, Higher NITEC or Diploma holder
• Minimum 1-year of relevant experience in HR administration.

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Design and draft of Electrical Single Line / Panel Diagram according to customer technical specification
• Maintain, update and correct drawings as needed, and ensure its accuracy and completeness
• Collaborate with project teams to facilitate drawing preparation
• Respond promptly to inquiries and request relating to the drawings

Requirements:

• Diploma/Degree in Electrical/Electronic Engineering from a recognised Polytechnic/University;
• Knowledge in Autocad and Eplan;
• Possession of team spirit, good communication and organising skills;
• A good team player with strong collaboration and stakeholders’ management skills;
• Excellent organizing skills, spoken and written communication skills.

· Our benefits and compensation for permanent position are as follows:

·

· Salary for experience candidates will be considered based on the years of experience and our internal salary structure

·

· 1 month AWS

· Variable Bonus ranging from 1 to 3 months depending on individual and company performance

· Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

· Working days: Monday to Friday (1 day work from home per week)

· Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

· 18 days up to 21 days for executive (Engineer and above)

· Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

· Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

· Term Life

· Personal Accident

· Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

· Flex Dollars of $500 per financial year

· Free annual year-end Health Check-Up

· Monthly Birthday Party Celebration

· Monthly Sports Activities

· New Born Gift

· CSR Initiatives

· Department Bonding Activities

· Biennial team building and staff appreciation dinner

· Gym Corner for employees to exercise

·

· Good Pay + Good allowance + Good Bonus

· Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

· Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Responsibilities:

• Provide technical support for Protection System Projects/Services;
• Participate in testing and commissioning activities at site
• Perform wiring check in workshop and at site
• Effectively manage project timelines, resources, and deliverables, ensuring smooth project execution
• Ensure project documentation are maintain and updated timely

Requirements:

• Diploma/Degree in Electrical/Electronic Engineering from a recognised Polytechnic/University;
• A proven track record in Project Management is an advantage;
• Experience with SPPG substations (22 KV, 66 KV, 230 KV and 400 KV) is an advantage;
• Experience in site testing and commissioning;

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Perform daily data entry duties and depot operations activities.

• Maintain, update and ensure accuracy of daily movement report.

• Raise estimates of repair of containers for clients.

• Attend & respond promptly to customers’ orders & enquiries.

• Other ad-hoc duties as assigned by superior.

JOB DESCRIPTION

· Conduct thorough market research

· Develop integrated sales and marketing strategies

· Create and execute marketing campaigns

· Generate leads through various channels

· Build strong customer relationships

· Ensure consistent brand management

· Analyze marketing and sales data

· Develop engaging and relevant content

JOB REQUIREMENTS

· Minimum Diploma and above

· Willing to learn and flexibility to adapt to working environment

Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

ey areas of responsibility

• Responsible for handling full set of accounts, including (AP / AR / GL) & ensure timely preparation/review of monthly accounts and financial statements
• Handle audit & tax queries and provide information as required by external auditors
• Preparation of schedules for all Profit & Loss (P&L) and Balance Sheet (B/S) items
• Monthly closing, Bank reconciliation, and etc.
• Assist in all financial related matters and any ad hoc projects

Requirements

• Familiar with Singapore Accounting Standards and reporting requirements
• Knowledge of accounting software, especially in JDE system is an advantage
• Good interpersonal and communication skills
• Ability to communicate in Mandarin in order to effectively communicate with the stakeholder based in China.
• Candidate should possess at least a Diploma / Degree in Business, Finance, Accounting or equivalent or a professional certification in Finance and Accounting
• Multi-tasking, high commitment and strong sense of urgency towards deadlines
• An analytical mind, disciplined and ability to work independently