Total 1,671 data entry clerk job vacancies in Singapore

Summary:

We are seeking a highly skilled and experienced Big Data Lead Architect to oversee the design, development, and deployment of big data solutions. The ideal candidate will have strong expertise in managing and architecting large-scale data platforms using advanced technologies such as Cloudera, Azure Cloud, and Kubernetes, among others.

Key Responsibilities:

• Lead the design, architecture, and implementation of end-to-end Big Data solutions.
• Oversee the integration of Cloudera CDH/CDP platforms for data management and analytics.
• Architect scalable solutions using technologies like Cloudera Machine Learning, Elasticsearch, and AML applications.
• Collaborate with data science and engineering teams to optimize the deployment of data models and machine learning pipelines.
• Ensure high availability and disaster recovery of big data platforms using technologies like Kubernetes, VMWare, and Azure Cloud.
• Automate infrastructure and deployment processes using Chef and Shell scripting.
• Implement monitoring and observability solutions using Prometheus, Grafana, and other monitoring tools.
• Manage security frameworks for big data environments using CyberArk and Trend Micro.
• Perform infrastructure troubleshooting and manage incident resolution using Remedy.
• Optimize database performance and management using PostgreSQL.
• Collaborate with cross-functional teams to ensure secure, reliable, and scalable infrastructure on HPE servers.

Required Skills & Qualifications:

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related fields.

Experience:

• 7+ years of experience in Big Data architecture and infrastructure, with a minimum of 3 years in a lead role.

Technical Expertise:

a) Cloudera CDH/CDP platforms and Cloudera Machine Learning.

b) Azure Cloud architecture and deployment.

c) Experience with Kubernetes, VMWare, RHEL, and container orchestration.

d) Monitoring tools: Prometheus, Grafana.

e) Security tools: Trend Micro, CyberArk.

f) Scripting: Shell scripting and automation with Chef.

g) Strong experience with Tableau and SAS for data visualization and analytics.

h) AML application expertise and experience with Elasticsearch.

i) Database expertise in PostgreSQL.

j) Strong experience in infrastructure management with HPE servers.

k) Proven experience in working with cloud and on-premise environments.

Preferred Skills:

a) Experience with disaster recovery, high availability, and security compliance.

b) Experience with DevOps practices and continuous integration (CI) pipelines.

c) Experience managing large-scale environments and multi-tier architectures.

Soft Skills:

a) Strong problem-solving and critical-thinking skills.

b) Excellent communication and leadership abilities.

c) Ability to work collaboratively in a fast-paced, dynamic environment.

d) Strong organizational and multitasking skills.

Job Description

• Collaborate with stakeholders (customers, partners, colleagues) on data-related technical issues and infrastructure needs.
• Work with data scientists to gather data requirements for modeling.
• Design, develop, document, manage, and maintain data models, ETL processes, data warehouses, data management, and pipeline solutions for large volumes of structured/unstructured data from various sources with different latencies (on-demand, batch, real-time, near-real-time).
• Define, monitor, and report SLAs for data pipelines and products.
• Ensure data security and governance standards are met.
• Execute data quality assurance practices.
• Support data management solutions pre-sales initiatives, proposal development, and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Expertise in relational/non-relational/NoSQL databases and enterprise data warehouses/marts.
• Proficiency in big data technologies (e.g., Hadoop, Spark, Hive, HBase).
• Knowledge of data ingestion technologies (e.g., Flume, Kafka, NiFi).
• Experience in scripting, programming, and software development (e.g., Java, C/C++, Python, R, MATLAB, Scala, SQL) for Windows or Linux.
• Experience in master data management, data governance, and data lifecycle management.
• Skilled in designing, documenting, implementing, and supporting data management solutions.
• Familiarity with software engineering best practices (development, programming, testing, version control).
• Knowledge of data privacy and security assurance.
• Understanding of machine learning, computer vision, and large language models is a plus.

Soft Skills

• Excellent written and verbal communication skills.
• Highly organized, motivated, independent, and resourceful team player.
• Strong analytical thinking, interpersonal, and problem-solving skills.
• Ability to work productively in a matrix reporting and fast-paced environment.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

Background

Alternatives.pe provides the most detailed and comprehensive financial information on startups, SMEs, and their investors. Since launching in 2020, the company has already signed up clients like GIC, Sequoia, KKR and most of the leading investors in Southeast Asia. And this is just the beginning.

Role & Responsibilities

You will design and manage the processes that build and maintain our database of Key People who work for Fund Managers, Limited Partners and Family Offices.

Skills Required

• Must be a skilled user of a range of data acquisition tools
• Must be a skilled user of data cleaning and management tools to deduplicate, match, append etc. Ability to write functions in Google AppScript or Python would be a plus
• Familiar with LinkedIn Sales Navigator
• Familiar with dealing with email address data (and its validation)
• Familiar with process automation / integration tools (Make/Zapier etc)

Specific requirements of the job are:

• Design, implement and manage the process of finding new, relevant people that should be included on the Alternatives.pe platform, and maintaining the freshness of that data.
• Process raw data from various sources and prepare it for analysis/ingestion.
• Monitor data quality and implement improvements as needed.
• Help identify new data sources that our subscribers will find valuable.
• Develop a measurement framework that monitors key metrics for management.
• Collaborate with the development team to integrate data processing workflows.

Requirements

• 2-3 years of working experience
• Experience in a role that involves research / data acquisition and data operations.
• Highly developed attention to detail and enjoy getting data sets 100% accurate.
• Good communication skills in English.
• Excellent problem-solving skills
• Ability to work remotely, independently and in a team environment.
• Able to adapt well in a fast-paced startup environment
• Bachelor's degree in a business or technical subject.

Responsibilities:

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:
• Design, create, modify extract/transform/load (ETL) pipelines in Azure Data Factory ensuring efficient data flow from source to destination.
• Ensure data accuracy and data integrity throughout the ETL processes via data validation, cleansing, deduplication, and error handling to ensure reliable and usable data being ingested.
• Monitor the ETL processes and optimize ETL pipelines for speed and efficiency, addressing bottlenecks, and ensuring the ETL system can handle the volume, velocity, and variety of data.
• Participate in data modeling, designing of the data structures and schema in the data warehouse to optimize query performance and align with business needs.
• Work closely with Business controlling, data engineers and IT teams to understand data requirements and deliver the data infrastructure that supports business goals.
• Provide technical support for ETL systems, troubleshooting issues and ensuring the continuous availability and reliability of data flows.
• Ensure proper documentation of data sources, ETL processes and data architecture.

Qualifications

• 3-5 years of database experience in an enterprise production environment
• Working experience on Azure cloud and with Azure Data Factory is a must, and Oracle cloud would be a plus
• Demonstrable proficiency in PL/SQL to write SQL scripts
• Experience in data injection, cleansing and data modelling
• Hands on Database administration skills on Oracle and PostgreSQL would be a plus
• Good analytical and troubleshooting skills
• Curious, proactive, self-motivated and able to work in a dynamic environment
• Good spoken and written communication skills
:

Responsibilities

• Data Request Management: Gain a deep understanding of the product team's data requests and provide support in building the data structure and roadmap. Ensure timely fulfillment of daily data needs. Additionally, gather requirements, prioritize features, and ensure successful delivery of data products.
• Stakeholder Collaboration and Workflow/SOP Development: Collaborate closely with stakeholders, including the product team, BI team, data engineers, and business leaders. Work together to establish efficient workflows and SOPs with the product team, ensuring adherence to established procedures.
• Data Product Development: Develop data products for the assigned product line to guide the long-term development of the business. This includes creating a north-star or metrics system aligned with the goals of the product line.
• Data Governance: Thoroughly investigate recurring data issues by identifying underlying problems within internal data systems. Implement systematic approaches to address these issues. Collaborate closely with the data governance team to develop sustainable data governance solutions.

Requirements:

• Min. 2-5 years of experience in data product management.
• Excellent project management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment.
• Strong communication, collaboration, and implementation skills, with the ability to identify and resolve problems from both business and data technology perspectives.
• Demonstrates great sense of responsibility & ownership, with the ability to work under pressure.

Nice to Haves:

• Data Engineering background
• Crypto/Blockchain knowledge is a plus

EA Personnel: Celine Tan Si Ling

CEI Reg No: R1104662

EA Licence No: 99C4599

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging 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 that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 4+ years experience doing quantitative analysis
• Fluency in SQL, R, or Python
• 4+ years experience leading product analytics and influencing product roadmap
• 4+ years experience designing and running A/B tests
• Experience understanding ecosystems, user behaviors and long-term product trends
• Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.

Preferred Qualifications

• Masters or Ph.D. Degree in a quantitative field.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

The ideal candidate has experience with large-scale data processing and a solid grasp of data science workflows. This position allows for a substantial impact on the team’s research direction within a successful proprietary trading firm.

Responsibilities:

• Identify high-quality data and request acquisition through data team tickets.
• Develop tools for data visualization and exploration.
• Apply statistical and ML techniques to detect patterns and trends.
• Stay updated on data science and crypto industry advancements.
• Benchmark model performance against leading techniques.
• Build metrics and dashboards to track trading strategy performance.

Requirements:

• At least 5 years in data science, with 2 in leadership
• Master’s in EE, CS, Physics, Mathematics, or related field
• Proficiency in Python, large-scale data processing, and ML frameworks like TensorFlow, PyTorch, and scikit-learn
• Experience in time-series analysis, modeling, and forecasting
• Strong understanding of model architecture and code quality
• Knowledge in crypto or finance is beneficial but optional

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Working hours: Mon to Fri, 8:30am to 6pm

Position Summary

This position is responsible for physical and technical tasks related to Data Center Infrastructure equipment.

Primary Responsibilities

• Perform physical and technical tasks of intermediate & escalated complexity on Data Center infrastructure equipment including but not limited to servers infrastructure, network infrastructure, or other equipment on the DC floor, without immediate supervision.

• Work alongside Technicians in installing, troubleshooting, and maintaining servers, networking equipment, and cabling (requires moving and racking equipment)

• Fix broken servers (replace hard drives, replace bad sticks of RAM, etc.).

• Use hardware/software tools and workflows (automation) in support of these tasks.

• Strictly follow all policies, processes, and procedures related to the activities and data center environment.

• Perform maintenance on a timely basis with adequate recordkeeping.

• Maintain equipment in running order with minimal downtime.

• Ensure a safe working environment and perform maintenance in a safe manner.

Requirements

• NITEC in IT or technical based qualifications.

• Familiar and comfortable using and working with IT equipment and software.

• Experience in repair of electronics components of computers.

• Scissor lift license would be an added advantage.

We are looking for a highly skilled Data Scientist for our global Weather Desk with a strong background in Meteorology. The ideal candidate will hold a PhD or Master’s degree in Atmospheric Science or a related field. We seek for someone who is passionate not only about data analytics and modeling, but also enjoys interpreting large-scale weather patterns and teleconnections. The role balances forecasting work for commercial teams and research projects using data science. The ideal candidate is proficient in weather forecasting and understands the driving forces behind expected weather patterns.

Main Responsibilities:

• Lead global weather intelligence and monitoring for the SouthEast Asia regional commercial offices
• Conduct research, perform data analysis, and create predictive models using meteorological datasets
• Work with internal team to expand and improve suite of weather monitoring tools and visualizations
• Collaborate with cross-functional teams to translate complex weather/climate data into actionable insights through an agricultural commodity lens
• Present weather and research output to both technical and non-technical stakeholders on a regular basis
• Interact with our AI Hub in Singapore and ensure LDC benefits from the most recent developments in weather-related AI

Experiences:

• At least 1-3 years of relevant experiences
• Strong background in meteorology and forecasting
• Proven experience in research and data analytics
• Experience with agricultural commodities and trading is a plus
• Experience with modeling techniques and machine learning algorithms is a plus
• Experience with Google Earth Engine is a plus
• Genuine interest in commodity trading industry
• Strong analytical and statistical capabilities, with a proven track record in problem-solving
• Excellent communication skills
• Ability to work independently and in collaborative settings

Technical Skills:

• Proficiency in Python
• Experience in data analysis libraries (e.g. Pandas, NumPy, SciPy)

Languages:

• English (Fluent)

Academics:

• PhD or Master’s in Atmospheric Science, Agricultural Science, Meteorology or related field of study

NCS is a leading technology services firm that operates across the Asia Pacific region in over 20 cities, providing consulting, digital services, technology solutions, and more. We believe in harnessing the power of technology to achieve extraordinary things, creating lasting value and impact for our communities, partners, and people. Our diverse workforce of 13,000 has delivered large-scale, mission-critical, and multi-platform projects for governments and enterprises in Singapore and the APAC region.

As a Senior Data Engineer, you are responsible for design, build, and maintain systems that enable the collection, storage, and processing of large volumes of data for analysis and application use.

What you will do:

• Design, develop, and maintain robust data pipelines and architectures.
• Collaborate with cross-functional teams to integrate data from various sources.
• Implement and manage CI/CD processes to ensure smooth deployments.
• Optimize Snowflake database performance and ensure efficient data storage.
• Utilize Azure Data Factory and the MS Fabric stack for data integration and orchestration.
• Mentor and guide junior engineers, providing technical leadership and support.
• Write and maintain detailed technical documentation for data processes and architecture.
• Monitor and troubleshoot data pipelines to ensure data integrity and quality.
• Stay current with industry trends and best practices in data engineering and integration.
• Participate in code reviews, providing constructive feedback and ensuring code quality.

The ideal candidate should possess:

• Expertise in Snowflake database development.
• Proficient in Azure Data Factory and the MS Fabric stack.
• Experience with Continuous Integration / Continuous Deployment (CI/CD).
• Strong background in advanced data integration and engineering.
• Proven ability to write clear and comprehensive technical documentation.
• Experience with multiple cloud platforms, specifically Azure and AWS.
• Strong problem-solving skills and attention to detail.
• Excellent collaboration and communication skills.
• Bachelor's degree in Computer Science, Engineering, or related field; Master’s preferred.
• Minimum 5 years of experience in a similar role.

Responsibilities

• Data Request Management: Gain a deep understanding of the product team's data requests and provide support in building the data structure and roadmap. Ensure timely fulfillment of daily data needs. Additionally, gather requirements, prioritize features, and ensure successful delivery of data products.
• Stakeholder Collaboration and Workflow/SOP Development: Collaborate closely with stakeholders, including the product team, BI team, data engineers, and business leaders. Work together to establish efficient workflows and SOPs with the product team, ensuring adherence to established procedures.
• Data Product Development: Develop data products for the assigned product line to guide the long-term development of the business. This includes creating a north-star or metrics system aligned with the goals of the product line.
• Data Governance: Thoroughly investigate recurring data issues by identifying underlying problems within internal data systems. Implement systematic approaches to address these issues. Collaborate closely with the data governance team to develop sustainable data governance solutions.

Requirements:

• Min. 2-5 years of experience in data product management.
• Excellent project management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment.
• Strong communication, collaboration, and implementation skills, with the ability to identify and resolve problems from both business and data technology perspectives.
• Demonstrates great sense of responsibility & ownership, with the ability to work under pressure.

Nice to Haves:

• Data Engineering background
• Crypto/Blockchain knowledge is a plus

EA Personnel: Celine Tan Si Ling

CEI Reg No: R1104662

EA Licence No: 99C4599

about company

I am currently working with a well-known tech product based company focusing on travel and ecommerce.

Salary structure: Base + bonus. 3 rounds of interview to offer stage. 5 days in office at CBD.

about job

• Collaborate with multiple product domains to understand their challenges and goals in ranking and recommendation systems
• Translate customer needs and business goals into technical requirements and ML services
• Develop, implement, and maintain data-driven solutions and systems
• Oversee and manage multiple data science projects, ensuring they meet objectives and are delivered on time

skills and requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, or related fields. Master's degree or higher preferred
• Min 4 years of experience in data science or related roles
• Excellent understanding of business operations and the ability to translate business requirements into technical specifications.
• Experience/familiarity with some of the following:
• Recommendation algorithms (collaborative filtering, content-based filtering, deep learning for recommendations)
• Ranking algorithms and metrics
• Experimentation
• Strong expertise in Python and experience with ML/Stats libraries (scikit-learn, LGBM, XGBoost to name a few).
• Proficient in data manipulation and analysis using SQL.
• Experience with cloud-based tech stack and containerization. GCP will be preferred.
• Proven experience in managing data projects from inception to completion.
• Exceptional interpersonal and communication skills, including the ability to describe complex technical concepts to non-technical stakeholders.

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

• Min 8 years of experience.
• At least 8 years of data-related working experience, with at least 5 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

You Will

• Data Collection & Wrangling: Gathering data from various sources (databases, APIs, web scraping, etc.), cleaning it, and transforming it into a usable format. This often involves dealing with missing values, inconsistencies, and different data types.
• Exploratory Data Analysis (EDA): Uncovering patterns, trends, and relationships in data through summary statistics, visualizations, and data mining techniques. This helps to form hypotheses and identify areas for further investigation.
• Statistical Analysis: Applying statistical methods to test hypotheses, make predictions, and draw inferences from data. This can involve techniques like regression analysis, hypothesis testing, and time series analysis.
• Data Visualization: Creating meaningful charts, graphs, and dashboards to communicate insights effectively to stakeholders. This involves choosing the right visualization techniques to tell a compelling story with the data.
• Reporting & Communication: Presenting findings and recommendations to both technical and non-technical audiences through reports, presentations, and dashboards. Strong communication skills are essential to convey complex information clearly.
• Predictive Modelling: Building models to forecast future outcomes based on historical data. This can involve machine learning techniques like regression, classification, and clustering.
• Data Management: Contributing to the development and maintenance of databases and data pipelines. This ensures data quality and accessibility for analysis.
• Collaboration: Working with cross-functional teams (e.g., marketing, product, finance) to understand their data needs and provide data-driven solutions.

You Bring

• Preferable min. 2-3 years of working experience, preferably in the SI environment.
• Diploma or Bachelor's degree in a quantitative field like statistics, mathematics, computer science, economics, or a related field is typically required.
• Proficiency in at least one data analysis language like Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
• SQL for querying databases, and potentially experience with tools like Excel or data manipulation libraries.
• Experience with tools like Tableau, Power BI, Qlik Sense, or data visualization libraries in Python (e.g., Matplotlib, Seaborn).
• Familiarity with statistical software packages like SPSS or SAS can be beneficial.
• Knowledge of Hadoop, Spark, or other big data technologies may be required for roles dealing with large datasets.
• Strong analytical and problem-solving skills are crucial for interpreting complex data and drawing meaningful insights.
• Excellent written and verbal communication skills are necessary to present findings clearly and concisely to both technical and non-technical audiences.
• Depending on the industry, having domain-specific knowledge (e.g., IT and finance) can be a significant advantage.

JOB DESCRIPTION

Job Title

Data Engineer

Occupation

DATA ENGINEER

Job Description & Requirements

About the Client:

Our client is a leading Information Technology (IT), consulting, and business process services company

Responsibilities:

• Implement robust solutions for data extraction and transformation from various sources including flat files and RDBMS.
• Configure and manage job scheduling and automation using tools like Control-M and Autosys.
• Develop shell scripts and use Unix commands to enhance ETL performance and streamline data processing.
• Ensure efficient job execution, error tracking, and troubleshoot performance issues.
• Use Moody’s tools (RCO, RAY, RFO) to support liquidity, risk management, and financial reporting projects.
• Troubleshoot and resolve issues related to GL recon breaks, ALM/LIQ stress processes, and LCR processes.
• Support Big Data solutions by working with core Spark (batch processing) and Spark SQL using Scala.
• Use Hadoop technologies like HDFS, Hive, and Sqoop for large-scale data migration and analysis.

Skills/Requirement:

• 10 years of expertise in ETL, Data Warehousing, and Big Data technologies. Should have a strong background in IBM Infosphere DataStage, Oracle PL/SQL, Unix Scripting, and hands-on experience with Moody’s tools.
• The role requires in-depth knowledge of data extraction, transformation, and loading (ETL) processes, as well as experience with CI/CD and automation tools to support efficient data operations. This is an opportunity to contribute to large-scale data projects and work closely with cross-functional teams in a challenging and dynamic environment.
• Design, develop, and maintain ETL processes using IBM infospheres DataStage (versions 8.1, 8.7, and 11.3).
• Build and optimize parallel jobs to clean, transform, and load data into target databases.

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

We regret that only shortlisted candidates will be contacted.

PERSOLKELLY Singapore Pte Ltd • EA License No. 01C4394 • EA Registration No. R24125310 (PARAMATASEEMA NAVEEN RAJANNA)

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

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

Job Summary:

We are seeking a meticulous and driven Data Analyst to join our Contact Center team. This role involves analyzing data to support operational decision-making and drive process improvements within our contact center. The ideal candidate will be adept at extracting, cleaning, and interpreting data, with the goal of enhancing customer experience, efficiency and overall performance.

Key Responsibilities:

• Extract, clean, and consolidate data from multiple sources to produce daily, weekly and monthly reports.
• Write and optimize SQL queries for efficient data retrieval.
• Respond to ad-hoc data requests from clients and management, delivering timely and accurate insights.
• Collaborate with developers to automate reporting processes.
• Serve as a point of contact for client data-related inquiries.
• Analyze contact center performance metrics, including call volumes, response times and customer satisfaction.
• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).
• Identify trends and patterns in data to guide strategic and operational decisions.
• Work with management and various departments to derive actionable insights and recommendations.
• Support the rollout of process improvements based on data insights.
• Ensure the accuracy and integrity of data across all reporting.
• Assist with demand forecasting and capacity planning using historical data trends.
• Stay informed about industry best practices and emerging technologies in data analysis.
• Perform other related duties as assigned by management.

Qualifications and Skills:

Education: Bachelor’s degree in Business, Computer Science, Mathematics, Data Analytics or a related field.

Experience: 1–3 years of experience in data analysis, ideally in a contact center environment.

Technical Skills:

• Proficient in data analysis tools such as Excel, SQL, and Python.
• Experience with data visualization platforms, including Tableau, Power BI, or AWS QuickSight.
• Communication: Strong written and verbal communication skills; able to effectively present insights and recommendations.
• Problem Solving: Detail-oriented with strong analytical and critical-thinking skills.
• Self-Motivation: Proactive and able to work independently with minimal supervision.
• Time Management: Excellent organizational skills with the ability to manage multiple priorities and perform under pressure.
• Quality Focus: High attention to detail, ensuring data accuracy and integrity.
• Knowledge of Analytics: Familiarity with statistical analysis, modeling, and data visualization techniques.

Job Description:

• 10 years of expertise in ETL, Data Warehousing, and Big Data technologies. The candidate should have a strong background in IBM InfoSphere DataStage, Oracle PL/SQL, Unix Scripting, and hands-on experience with Moody’s tools.
• The role requires in-depth knowledge of data extraction, transformation, and loading (ETL) processes, as well as experience with CI/CD and automation tools to support efficient data operations.
• This is an opportunity to contribute to large-scale data projects and work closely with cross-functional teams in a challenging and dynamic environment.
• Design, develop, and maintain ETL processes using IBM InfoSphere DataStage (versions 8.1, 8.7, and 11.3).
• Build and optimize parallel jobs to clean, transform, and load data into target databases.
• Implement robust solutions for data extraction and transformation from various sources including flat files and RDBMS.
• Configure and manage job scheduling and automation using tools like Control-M and Autosys.
• Develop shell scripts and use Unix commands to enhance ETL performance and streamline data processing.
• Ensure efficient job execution, error tracking, and troubleshoot performance issues.
• Use Moody’s tools (RCO, RAY, RFO) to support liquidity, risk management, and financial reporting projects.
• Troubleshoot and resolve issues related to GL recon breaks, ALM/LIQ stress processes, and LCR processes.
• Support Big Data solutions by working with core Spark (batch processing) and Spark SQL using Scala.
• Use Hadoop technologies like HDFS, Hive, and Sqoop for large-scale data migration and analysis.
• Key Skils: ETL, Moody’s, CI/CD, RCO, RAY, RFO, ALM, Spark, Scala.

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Technology Solutions Office is looking for Data Analyst

Internal Code: A24040

What will you do?

• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• You will be responsible to create, design and develop intricate data processing pipelines.
• You write clean and iterative code for continuous delivery practices to deploy, support and operate data pipelines.
• You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stacks.

What are we looking for?

• From 3 to 5 years of experience working as a data analyst or related role.
• Hands-on experience in Tableau, Power BI, AWS Glue, AWS RedShift, QlikSense
• Proficiency in programming languages such as Python, Java or Scala.
• Track record in implementing systems using Hive, Scala will be preferred.
• Strong in data modelling, data processing frameworks’ tools such as Hadoop, Spark, SQL is an advantage.
• Good understanding of analytics and data warehouse implementations
• Experience with Cloud Technologies is a plus.
• Good understanding and completion of projects using Agile methodology.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.
• Bachelor’s in Computer Science, Engineering, or a related field.

What do we offer?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Job Description & Requirements

Responsibilities:

1. Responsible for maintaining our machine learning framework
2. Responsible for the cleaning, processing and analysis of both unstructured and structured texts in the FinTech area
3. Participate in the development and upgrade of our machine learning and data mining algorithms

Requirements:

1. Degree in Computer Science or similar field
2. 1+ years experience in data processing, data analytics or data visualization
3. Proficient in Python programming language
4. Familiar with data analytics libraries like NumPy and Pandas
5. Experience with relational databases (e.g. MySQL) and key-value databases (e.g. Redis)
6. Experience in RESTFul API service development and familiarity with HTTP / TCP
7. Familiarity with Container techniques including Docker and Kubernetes is preferred
8. Strong communication skills in Chinese and English to communicate with associates

We are seeking a dynamic Brand Ambassador to join our team and help us create an exceptional brand experience for our customers. As a Brand Ambassador, you will be the face of our company, embodying our values and promoting our brand identity to a wide audience.

What is in it for YOU:
✔️ Overseas traveling exposure trips
✔️ Leadership skills development
✔️ Personal development workshops
✔️ 1-1 coaching

✔️ Get out of comfort zone

✔️ Uncapped Earnings

What your day to day looks like:
✔️ Drive customer acquisition through face-to-face interaction
✔️ Market our client product and services through business development
✔️ Manage and lead a events and marketing team

Whatsapp JS @8654 6768 to find out more & secure a spot!

Provide support to manufacturing activities

Manual Intervention Tasks

Shift Support:

• Coordinate with other shift Automation resources to ensure smooth handovers.

• Contact and assist duty Automation Engineer on resolving complex technical tasks.

Safety and Compliance:

• Adhere to safety protocols and guidelines.

• Report any safety incidents promptly.

• Comply with company policies and procedures.

Job Requirements:

• Min Degree in Science/Pharma/Lifesience/Biomedical & above

• Possess good troubleshooting skills

• Full awareness of current Good Manufacturing Practices (cGMP)

• Required to wear personal protective equipment such as safety glasses/goggles, gloves and safety shoes

• Ability to work around chemicals (alcohols, acids & bases)

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

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2600, after 3 months confirmation $2700

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Do you love healthtech and Singapore put together? Then you just might love this company

The company is a multiple award-winning Healthcare IT Leader that digitises, connects, and analyses Singapore's health ecosystem Its ultimate aim is to improve the Singapore population's health and health administrations by integrating intelligent, highly resilient, and cost effective technologies with process and people

A Cloud Data Engineer specializing in AWS, Databricks, and Informatica IDMC is responsible for building and maintaining a robust, integrated, and governed data infrastructure that leverages the strengths of the analytics platforms to extract valuable insights from data while ensuring data security, compliance, and high-quality data management.

Roles And Responsibilities:

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.

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

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

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

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

• Implement security best practices and data encryption methods to

protect sensitive data in both AWS and Databricks, while ensuring