PRIMARY DUTIES AND RESPONSIBILITIES

1. Customer Invoicing and Quotation Management: Prepare and process customer invoices, set up quotations, and ensure timely and accurate billing.
2. Customer Onboarding and Support: Coordinate new customer onboarding to ensure seamless integration and ongoing support.
3. Billing Process Oversight: Monitor and maintain the accuracy, efficiency, and compliance of billing processes, addressing discrepancies as needed.
4. Data Management and Reporting: Process, validate, and reconcile billing data to ensure accuracy and consistency, converting it into formats suitable for invoicing and reporting.
5. Collaboration with Cross-Functional Teams: Work closely with IT, finance, and other teams to align on data requirements and enhance operational workflows.
6. ETL/ELT and Automation Support: Assist in developing, maintaining, and optimizing ETL/ELT pipelines and automating data workflows to improve efficiency.
7. System Monitoring and Troubleshooting: Monitor systems performance, ensure stability, and troubleshoot issues related to data extraction, reporting, and integration.
8. Compliance and Process Improvement: Ensure compliance with company policies and regulatory standards, contributing to projects and initiatives to enhance processes and reporting.

JOB REQUIREMENTS

• Minimum Diploma in Finance/Accountancy/IT or equivalent
• At least 2 years of relevant working experience, preferably in a Logistics Company
• Well versed in Microsoft Excel, SQL, experience in Oracle System will be an advantage
• Independent and fast learner
• Good initiative and work attitude
• Experience with data visualization tools
• Attention to detail and a proactive attitude toward learning and development.
• Exposure to Oracle EBS or Other ERP software

• Helping to clean and validate customer, supplier and inventory data by identifying and correcting errors and inconsistencies. Ensuring accuracy and completeness of data.

• Collaborate with team members to interpret data and support decision-making processes

• Perform data analysis using various tools and techniques to extract insights and trends. Good knowledge of Power BI is an advantage for building visualization dashboards. Strongly self-motivated, proactive, and willing to learn due to our knowledge limitation in Power BI.

• Use of data storytelling to do walkthroughs on the reports' contents and data insights to users.

• Improve the data collection and cleaning methods through automation.

• Documenting the details of ERP processes and other related information for future reference.

• Perform ad-hoc data analysis.

As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match.

RESPONSIBILITIES

• Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
• Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve
• Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way
• Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
• Design, build and launch new data models and visualizations in production, leveraging common development toolkits
• Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
• Support existing processes running in production and implement optimized solutions with limited guidance
• Define and manage SLA for data sets in allocated areas of ownership

MINIMUM QUALIFICATIONS

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 2+ years of work experience in data engineering
• Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

PREFERRED QUALIFICATIONS

• Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy
• Experience working with terabyte to petabyte scale data

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.

Zenith Infotech (S) is a Tech Recruitment firm with 27 years of experience in Singapore, supporrting clients in terms of ICT Consultant placments.

Currently we are looking out for a Data Analyst with 3 years of experience, best working in Contact Center enviornment before or presently.

Responsibilities :

• Extract and clean the data from various data sources to generate daily, weekly and monthly reports.

• Writing SQL queries to retrieve information quickly.

• Fulfil ad-hoc data request from client and management.

• Work / Collaborate with Developer(s) to automate reports

• Liaise with client on data related queries

• Analyze contact center performance metrics, including call volume, response times, and customer satisfaction scores.

• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).

• Identify trends and patterns in data to inform operational improvements and strategy.

• Collaborate with management and other departments to develop actionable insights and recommendations.

• Support the implementation of process improvements based on data findings.

• Ensure data integrity and accuracy.

• Assist in forecasting demand and capacity planning based on historical data trends.

• Stay updated on industry best practices and emerging technologies in data analysis.

• Perform other duties and responsibilities that may be assigned to you by the management within your category of employment.

Qualifications and Skills:

• Minimum Bachelors in Business, Computer Science, Mathematics, Data Analytics, or a related field.

• At least 1 to 3 years of experience building reports using Excel, SQL AWS Quick sight or any other business intelligence and data analytics tools.

• Proficiency in data analysis tools (e.g., Excel, SQL, Python) and data visualization software (e.g., Tableau, Power BI).

• Proven experience in data analysis, preferably in a contact center environment.

• Strong communication and presentation skills

• Proactive and able to work independently with minimum supervision.

• Excellent time management with strong critical thinking and ability to handle pressure.

• Detail-oriented with a strong focus on accuracy and data integrity.

• Familiarity with statistical analysis and modeling.

• To assist in the consistent adaptation and adoption of AIC’s Information Management Policy across the organisation
• To assist in enabling related Data Management policies and executing relevant change initiatives
• Support the Data Protection Officer in handling of data sharing request in accordance with AIC Data Sharing Framework
• To assist in regular review initiatives to ensure continuous relevance and application of the AIC Data Sharing Framework to division’s processes
• To support the review of PDPA compliance related aspects throughout the organisation and its partners

Job Requirements:

• Degree in Information Science or Business Management with 3 -4 years' work experience
• Preferably 1 – 2 years of experience in handling information management, protection or/and data governance aspects
• Familiarity with Personal Data Protection (2012) and experienced in working within a Data Protection Office or similar would be beneficial
• Entry level candidates with relevant skillsets are welcome to apply. This includes background in process improvement methodologies and risk management practices, experience in analysing business processes and workflows to identify areas for improvement.
• Collaborate and/or guide stakeholders as part of cross-functional teams to identify and track areas for improvement
• Facilitation skills would be a plus
• Meticulous and conscientious
• Outgoing and works well in a team
• Good listener and quick to adapt

Zenith Infotech (S) , a Tech Recruitment firm with 27 years of presence in Singapore, is assiting one of our clients to lookout for Data Engineer, proficient in main skill set of Talend.

Job Scope :

· Using the Talend ETL toolset, to create new and maintain existing ETL jobs.

· Design and implement ETL for extracting and transforming data from diverse sources, such as: Cloudera, PostgreSQL, and SQL Server databases.

· Design and develop database tables necessary along with the necessary constraints as per the requirement.

· Collaborate with Team members to understand source system structures and data retrieval methods/techniques, and tools within the organization.

· Support the development of data transformation logic using ETL tools or scripting languages like SQL, Python, etc.

· Clean, validate, and transform data to conform to target schema and quality standards.

· Work with the Team to execute data quality improvement plans.

· Participate in troubleshooting activities to maintain data integrity and process efficiency.

Requirements:

• Experience with Talend, Python and Spark

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

• Understanding of data-warehousing and data-modeling techniques

• Knowledge of industry-wide visualization and analytics tools

• Good interpersonal skills and positive attitude qualifications

• Degree in computer science, mathematics, or engineering

Responsibilities:

• Scanning physical documents to create high-quality digital copies.
• Labelling digital files using a standardized naming and filing system.
• Ensuring each digital file is accurately associated with the correct employee.
• Conducting quality assurance to verify the accuracy and readability of digital files.
• Assisting with secure disposal or shredding of physical documents, if required.

Requirements:

Temporary 2 months contract (Full commitment period required)

Min. Diploma holder

Proficient in Excel and Google Drive

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

• Work closely with data product team and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Work closely with product vendors to design, deploy and integrate different data platforms with the organization's ecosystem.
• Ensure that the deployed platforms follow the IT security and compliance policies.
• Establish processes and develop monitoring mechanisms to detect the availability of the platforms.
• Act as the solution architect and develop the end-to-end onboarding of projects onto the data platforms deployed in the organization for different BI needs such as data ingestion, visualization, data governance.
• Perform testing on the deployed data platforms

• Bachelor's Degree in Computer Science or equivalent.
• At least 5 years' experience of working as a platform support engineer or a software engineer or a data engineer.
• Solid working knowledge of implementing the optimal data structures and algorithms to create efficient and scalable applications in Java or Python.
• Strong hands-on experience and working knowledge of application implementation to implement new platforms.
• Familiar with application integration using RDBMS.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment, and familiar with Shell scripts and command line tools.
• Knowledge of data integration and data visualization platforms such as Informatica, Tableau, and Power BI.
• Exposure and knowledge in the following technologies will be advantageous:
  • Java, Python
  • Snowflake, Oracle, MS SQL, Denodo
  • AWS services
• Experience in the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
• Good understanding and able to apply good industry practice of code versioning, testing, CICD workflow, and code documentation.
• Good team player, with strong analytical skill and enjoy complex problem solving with innovative ideas.
• Good communication/people skills and able to interact with data analysts, business end-users and vendors to design and develop solutions.
• Good at working with details and is meticulous for operations.

Role

a) Provide input to the development, maintenance and promulgation of the blueprints,
roadmaps and reference architectures for Data Analytics infrastructure and services.
(b) Perform analysis of new requirements and develop solutions and manage solution
delivery through acquisition or change control.
(c) Enhance our cloud capability by creating and implementing cloud application
patterns.
(d) Develop and implement ways to move apps and workloads to the cloud.
(e) Work closely with business leads and system owners to understand solution
requirements and identify architectural patterns.
(f) Write and develop cloud automation playbooks for managing and scaling containers,
hosts, cloud services, and applications.

Requirements
(a) Degree/master’s in computer science, Information Technology, Computer
Engineering or equivalent.
(b) Minimum eight (8) years’ experience in providing data warehouse or advanced
analytics solutions.
(c) Experience with
• databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Databricks)
• data repository design (e.g. operational data stores, dimensional data stores,
data marts, datalakes)
• data interrogation techniques (e.g. SQL, NoSQL).
• structured and unstructured data analytics.
• statistical computing programming language (e.g. R, Python).
• data quality tools and processes.
• data transformation and terminology equivalence mapping.

(d) Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).
(e) Deep understanding of analytical models and methodologies – especially in the
context of health analytics for clinical use and clinical safety (e.g. data mining,
predictive analytics).
(f) Experience with data acquisition tools (e.g., ETL, real-time data capture, and change
data capture).
(g) Thorough understanding of ML, data analysis, data visualization, and event-driven
architecture.
(h) Exposure to the development, evolution and adherence to the architectures relevant
to the domain.
(i) Ability to work with a wide variety of report generation software (e.g. Power BI,
Tableau and OBIEE) and generate a wide variety of outputs (dashboards, scheduled
reports).
(j) The ability to work towards strict and conflicting deadlines, be able to plan and
prioritise in an environment with multiple stakeholders.
(k) Good interpersonal skills, a detail-oriented & flexible person who can work across
different areas within the team.
(l) Familiarity or experience with health informatics would be preferred.
(m) An understanding of healthcare data governance, data acquisition and data
management would be an advantage.
(n) Experience in interacting with analytics stakeholders (economists, statisticians,
clinicians, policy makers) on a business or domain level would be preferred.
1.1.3 Cloud Exposure (AWS):
(a) Strong knowledge and practical experience with AWS.
(b) Familiarity with modern cloud application architecture.
(c) Exposure to cloud managed services and microservices like Function as a Service,
Containers, and managed databases.
(d) Experience with setting up load balancers, cloud networks, and virtual servers.
(e) Infrastructure as code (IAC): Cloud formation, terraform.
(f) AWS identity and access management, integration with active directory.
(g) Familiarity with security and access control measures to control privileged access to test
and production environment.
(h) Certification in AWS Cloud Practitioner or AWS Architectation, terraform."

Job Description & Requirements

We are seeking a Senior Data Engineer with 7+ years of experience in software development and expertise in Big Data technologies. The ideal candidate will work on designing, developing, and maintaining scalable data pipelines and analytics platforms to meet diverse business requirements.

Responsibilities:

Build and optimize large-scale data pipelines using Hadoop, Spark (Core, SQL, Streaming), and PySpark.

Manage and process structured and semi-structured data using Hive, Sqoop, Impala, and Kudu.

Develop and implement streaming data solutions with Apache Kafka.

Collaborate with cross-functional teams to understand technical requirements and implement data-driven solutions.

Perform data validation, quality checks, and recon reports to ensure high data accuracy.

Work on AWS services (S3, Glue, Athena) for cloud-based data workflows and analytics.

Translate legacy systems to open-source frameworks, leveraging technologies like Python and SQL.

Optimize performance and scalability for data processing and storage systems.

Utilize Java/J2EE, Hibernate, and Struts frameworks for backend application development.

Provide mentorship to team members and support in troubleshooting and debugging complex data issues.

Requirements:

Proficiency in Big Data ecosystems, Spark, Hadoop, and related technologies.

Strong experience with PySpark, data transformation, and aggregation techniques.

Hands-on with AWS services and cloud-native data pipelines.

Solid understanding of SQL, RDBMS, and data integration tools.

Expertise in Java/J2EE frameworks and application development.

Strong communication and problem-solving skills.

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

Responsibilities

As a key contributor to our team, you will help build a robust Data Platform that powers analytics and AI-driven solutions. Your responsibilities include:

• Building and maintaining end-to-end data systems using tools like Python, Scala, or similar.
• Designing, developing, and managing data pipelines for real-time decision-making, reporting, and data collection.
• Implementing processes to ensure data quality, governance, and security.
• Developing ETL/ELT processes and working with structured, semi-structured, and unstructured data.
• Creating and optimizing data models and workflows to support data transformation and storage.
• Leveraging cloud data technologies and services, including Azure, for scalable and efficient data solutions.
• Collaborating with cross-functional teams to produce high-quality, well-tested, and secure code.
• Utilizing tools such as Spark Streaming, Delta Tables, and Databricks for handling large datasets.
• Managing diverse data stores, including data warehouses, RDBMS, and in-memory caches.
• Supporting data-driven decision-making with innovative solutions and advanced analytics.

Qualifications

Required Skills:

• Education: BS/MS in Computer Science, Information Systems, Data Analytics, or equivalent experience.
• At least 2+ years of experience in:Building pipelines and incorporating workflow tools into data system designs.
  ETL/ELT, Data Warehousing, or Business Intelligence Development.
  Leveraging SQL for data investigations and problem-solving.
  Working with cloud platforms and services for data processing and storage.
  Handling structured, semi-structured, and unstructured data across diverse storage systems.
  
• Hands-on experience with:Large datasets and tools like Databricks or PySpark.
  Storage systems such as Azure Data Lakes or other cloud-native solutions.
  Spark Streaming and creating Delta (Live) Tables.
  
• Strong background in design, implementation, and testing for scalable data solutions.
• Proficiency in developing for continuous integration and automated deployments.
• Ability to work in a collaborative environment with excellent communication skills.

Preferred Skills:

• Experience with microservices platforms like Kubernetes, Docker, and Helm Charts.
• Familiarity with event-driven streaming systems (Kafka, Event Hub, Event Grid, Apache Flink).
• Knowledge of advanced tools such as DBT or Data Vault methodologies.
• Experience with Microsoft Fabric or administering BI tools.
• Proficiency in additional programming languages like JavaScript, Java, or C#.
• Ability to guide and mentor other developers, providing technical leadership and expertise.

Position Start Date: 1st January 2025

Responsibilities:

Key duties and responsibilities include, but are not limited to:

1. Application Development

• Analyze the needs and requirements, plan and execute application-related bug fixings, enhancements, or new projects, including testing, provisioning, training and deployment of new solutions and applications.
• Document IT solutions and applications design and configuration and keep the documentation up to date for operational reference.
• Assist with user onboarding and training on new applications.

2. Application Support:

• Provide technical support to staff and students regarding the school's various applications, including learning management systems (LMS), student information systems (SIS), and administrative software.
• Troubleshoot technical issues related to application access, functionality, and performance.
• Manage access and permission to IT applications and ensure only authorized users have access to IT solutions and data.

3. Data Management:

• Manage and maintain the school's student data, ensuring accuracy, integrity, and security.
• Generate reports and data visualizations to support informed decision-making by school administration.
• Assist with data migration projects and ensure compliance with relevant data privacy regulations.

4. System Administration & IT Support:

• Perform basic system administration tasks for applications and data storage systems, ensuring system uptime and availability.
• Install, configure, and maintain application software and related tools.
• Monitor system performance and identify potential issues.
• Provide IT support and solutions to end users within the school and provide AV support to teachers in classroom projection systems, Smart TVs and Audio Systems.
• Assist in troubleshooting (First Level) laptops and PCs. Analyses and recovers system when malfunction occurs or alerts the respective vendor for repair or replacement of affected parts if the item is under warranty.
• Perform other duties as directed by the Head of Information Technology or such people as the School may designate

Qualifications:

The eligible candidate must have:

• Bachelor’s degree in information technology, Computer Science, Data Analytics, or a related field (preferred).
• Good knowledge in the System Development Life Cycle (SDLC) and methodologies such as Agile and Waterfall in software development and project management.
• Past experience or exposure to applications and platforms, including school management solutions (e.g., PowerSchool, iSAMS, Firefly) and Microsoft Dynamics and Talend Data Integration Platform.
• Experience with data analysis tools (e.g., Excel, Google Sheets) and potentially programming languages (e.g., Python, R) for more advanced data manipulation.
• Experience in integrating different platforms such as PowerShell, Phyton, .NET, Java, SQL Server Integration Services, and Reporting Services in an International school environment will be preferred.

Responsibilities:

1. Assist in managing and analysing data assets, ensuring data quality and accuracy.
2. Collaborate with teams to understand data needs and contribute to data solutions and projects.
3. Utilize data analytics tools and techniques to assist in deriving meaningful insights.
4. Support data visualization efforts to communicate findings to stakeholders.
5. Participate in data governance and compliance initiatives to uphold data security and privacy.
6. Contribute to the documentation of data processes and procedures.
7. Stay informed about industry trends in data analytics and best practices.
8. Provide support in data-driven business planning and performance enhancement.

Qualifications:

• Bachelor's degree in Software Engineering, or a related field.
• Minimum 5 years of experience or understanding of data analysis, data management, and data visualization.
• Hands on experience with data analytics tools such as SQL, Python & Coding
• Good problem-solving and analytical skills with an eagerness to learn and grow.
• Strong attention to detail and organizational abilities.
• Collaborative mindset and willingness to work in a team-oriented environmen

Interested candidate please submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile > https://sg.go.persolkelly.com/job/apply/10579

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

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 with 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 nationwide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

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

PERSOLKELLY Singapore Pte Ltd

• RCB No. 200007268E • EA License No. 01C4394

• Registration ID <R1105286> (Ngiam Xinyi)

Position: Data Processing
Department/Location: Novena Square
Working Hours:

• Monday to Thursday: 8:30 AM to 6:00 PM
• Friday: 8:30 AM to 5:30 PM

Position Duration: 4 months (starting February 2025)

• Job Responsibilities:
• Collect and compile data from various web applications.
• Clean and organise raw data to ensure accuracy and completeness.
• Perform basic data analysis tasks.
• Create and maintain databases.
• Generate routine reports and data visualisations.
• Assist in interpreting data and identifying trends for actionable insights.
• Support team members in reviews and analyses based on data insights.
• Contribute to research projects conducted by the team.

Requirements:

• Proficiency in Microsoft Excel.
• Familiarity with data analysis tools.
• Strong attention to detail and accuracy.
• Good problem-solving skills.
• Effective written and verbal communication skills.
• Ability to meet deadlines and manage multiple tasks efficiently.

This role is an excellent opportunity to gain hands-on experience in data processing and analysis. If you meet the requirements and are available for the stated duration, we encourage you to submit your application promptly!

HR

Job description:

• Supporting the recruitment administrative duties such as creating and updating job postings on job boards, career page and other media, screening candidates and interview coordination.
• Training and course arrangement
• Assist the manager in sorting, tabulating, and evaluating data.
• Office tasks including printing, booking, and other tasks vary based on the work and the WFH setting.

• Without prior experience.
• Flexible hours or office hours.
• good experience for learning.
• High JOB PROGRESSION IS AVAILABLE!
• Talented individuals WANTED!!

LIMITED SLOTS LEFT!

Text 97234992 for more details and other job opportunites

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

Your main responsibilities will include:

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

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

Deloitte Forensic is the pre-eminent forensic practice in Singapore and Southeast Asia and advices local, regional and global clients in the complex areas of Disputes, Discovery, Forensic Analytics, Forensic Investigations (including, fraud, corruption and misconduct), and Financial Crime Advisory.

Role and Responsibilities

As an Analyst, you will be involved in a wide range of projects, including:

• Work with team leads to provide high-quality, professional day-to-day execution engagements

and projects in line with the firm's risk management practices for clients across a wide range

of industries.

• Analyzing large and disparate data to support or refute the facts and allegations of disputes,

investigations, and litigations.

• Work as a team member and contribute to AML projects which includes data preparation,

model design, model development, implementation, documentation, and on-going validation &

optimization of rules/ scenarios.

• Helping clients to assess and leverage new data sources, techniques, and technologies to

improve business processes and compliance.

• Contributing to impactful recommendations on clients’ operating models, including people,

process, technology, and data considerations

• Maintain professional and positive client interactions whilst providing support, including

dealing with ad-hoc queries.

• Supporting projects from other Deloitte Forensic service lines, as and where required

• Contribute to personal and overall team development, through staying up to date with forensic

accounting-related news, and technical and regulatory developments.

• Support Manager/Director in developing marketing collateral, business proposals, and new

solution / methodology development.

• Develop and maintain relationship with strategic (internal and external) service providers.

Requirements

• A university degree in accounting, computer science, information management or related skills

• Demonstrable experience and fluency in three or more of the following technical areas are essential:-

• Strong data manipulation and analysis skills (e.g. SQL, R, Python, Hive, SAS).

• Experience with industry standard RDMS (eg. Oracle, MSSQL, PostgreSQL).

• Database design and development (ie. Microsoft SQL Server or IBM DB2).

• Data loading and ETL solutions (ie. Microsoft SSIS or IBM DataStage ).

• Reporting and data visualisation tools (eg. Microsoft SSRS, Tableau, Power BI, Qlikview, D3).

• Scripting or programming experience (eg. C#, VB.net, Java, Python).

• Experience of text analytics through use of taxonomies, concept searching, machine learning and/or clustering.

• Strong conceptual, analytical, and critical thinking with the ability to dive deep into analytics while also contributing to larger strategic discussions.

• A “can do” attitude with the sense of urgency and the confidence to build problem-solving partnerships with clients and colleagues and set and manage aggressive goals for self and others.

• An ability to present complex quantitative analyses and recommendations to both technical and non-technical audiences, including senior client executives, in a clear, concise and actionable manner.

• Strong writing skills to contribute to proposals and the production of deliverables.

• Accounting knowledge would be beneficial

• Enthusiasm for learning new things and a willingness to teach others.

Wipro Limited is a leading global information technology, consulting and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help our clients adapt to the digital world and make them successful.

A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 220,000 dedicated employees serving clients across six continents. Together, we discover ideas and connect the dots to build a better and a bold new future.

Network Data Administrator

Responsibility & Requirement

• Managing end to end administration of all Network platforms (Cisco Router & switches, Cisco Wireless infra along with Infoblox DDI).
• Ability to configure and debug and do basic level trouble shooting in technology areas like routers, switches, WIFI.
• Exposure to troubleshooting of routing protocols (RIP, EIGRP, OSPF, BGP).
• Experience on switching (VLAN, VTP, RPVST, Stacking).
• Experience in Cisco Catalyst 9K, 3550, 3650 and Nexus 7K & 9K, Cisco ISR/ASR routers.
• WAN Router configuration and Troubleshooting.
• Knowledge on Riverbed WAN optimizer.
• Network infrastructure management & configuration.
• Experience to handle Cisco wireless Infra, Cisco Prime and WAP devices.
• Strong knowledge on Infoblox DNS, DHCP.
• Able to take handover from project team as required.
• Regular audit of network devices and take corrective action accordingly.
• Performance Management & Optimization.
• Root Cause Analysis.
• Provide inputs for Capacity Planning/ Migration/ Optimization / Future upgrade strategy based on the performance trend.
• Preparation of Daily/Weekly/Monthly reports.
• Coordination with multiple vendors.
• Handling escalated incidents or high critical tickets.
• Plan and schedule for change management.
• Develop and maintain architecture diagrams and documents.
• Prepare SoPs and SMTD
• Good Communication skills.

Required Skills:

• LAN Switching, Cisco Nexus Switches, Routing protocols, Cisco wireless setup
• Minimum experience of 6 years in related field.
• Minimum Degree in related field.

Technical skills

Hands-on experience required on the following technologies:

• Routing protocols - EIGRP, OSPF, BGP, PBR.
• LAN Switching - VLAN, VTP, STP, HSRP, GLBP, Cisco Nexus Switches (5k, 7k, 9k) - VDC, VPC, OTV, FEX.
• Cisco Wireless setup.
• Infoblox DDI.
• TCP/IP protocol suite, Quality of Service.
• Riverbed WAN optimizer.
• Knowledge on IPSec VPN, AAA Architecture, TACACS+ and RADIUS will be preferred.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.

• To support customer in maintaining their existing AliCloud solutions in accordance with best practices.
• To fix issues in customers existing AliCloud solutions.
• To communicate with Alibaba Cloud for advice on technical issues.
• To communicate and align with offshore AliCloud Data Engineer on task assigned to FPT team.
• Bachelor degree or above in IT and engineering, with relevant professional certificates.
• AliCloud related certification is a MUST.
• At least 1 other cloud (non AliCloud) certification will be preferred. More cloud certifications will be a big PLUS.

Requirements

• 3 to 5 years of working experience in IT industry.
• Hands-on experience in at least 1 AliCloud related project is a MUST. More AliCloud projects will be a PLUS.
• Hands-on experience in other cloud (i.e. non-AliCloud) related projects will be a PLUS.

Job Summary

We are looking for Data Engineer who will be playing a key role in creating, building and maintaining our client’s data infrastructure.

Mandatory Skill-set

• Degree in Computer Science or related discipline;
• Minimum 2-3 years of experience in Data Analysis and experience of Project management;
• Knowledge of making frameworks and power point presentations;
• Good hands-on experience in Python/ Spark and SQL to code complex data engineering use cases;
• At least 2 years of experience in Data Management and data governance;
• Able to collect, parse, manage, analyse and visualise large sets of data to turn information into insights accessible through multiple platforms and works more with structured data;
• Basic project management knowledge, Team presentation skill & Business analytical skill;
• Excellent interpersonal, and communication skills with the ability to coordinate / work with multiple teams;
• Motivated, driven, logical, and possess excellent time management skills;
• Has strong analytical and problem-solving skills with attention to detail.

Desired Skill-set

• Experience in financial industry;
• Familiarity with Agile development methodologies.

Responsibilities

• Create, build, and maintain the data infrastructure required for Extraction, Transformation and Loading of data from a wide variety of sources.
• Ensure high-quality data is delivered to support Compliance model development.
• Support the implementation of Data Analytics / Automation for Compliance teams and Business stakeholders.
• Liaise with relevant stakeholders (e.g., Data Management Office) to identify and assess suitability of data for Compliance Data models.
• Liaise with Business stakeholders / analysts and ensure assembled data assets used for model development meet business requirements.
• Build & maintain data dictionaries / data requirements of implemented data models and coordinate with Data Scientist(s) in developing model narratives.
• Monitor the execution & performance of data models and liaise with IT for any technical / system outages.
• Keep track of datasets / tables in the working schema and support purging of unused tables periodically.
• Perform data analysis required to troubleshoot data related issues and support the resolution of raised data issues.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Principal data strategists at Thoughtworks are experienced consultants who work with clients to create winning data solutions that meet business goals. They play a pivotal role in developing modern data architecture approaches that directly address our clients' key business objectives. Their responsibilities span from conducting in-depth reviews of current data and technology strategy and coming up with targeted data strategy, guiding clients to unlock the full potential of data and providing high-level road-maps.

This role entails a mix of advisory responsibilities in data strategy and governance, as well as the commercial growth of the business. Being able to grow the Data and AI business in the region and develop compelling cross functional proposals using a mixture of consulting and technology services will be a necessity.

Job responsibilities

• You will be responsible for the commercial growth of the business within your region, collaborating with the business to meet personal revenue and growth targets.
• You will collaborate closely with clients to understand their business ecosystem and goals, and leverage this understanding to co-create data and technology strategies aligned with their objectives.
• You will help define a clear vision for the client enterprise to become data-driven and aligned with the overall business strategy.
• You will also consult on complex data programs, providing technical leadership and guidance as a data subject matter expert.
• You will lead and interact with clients across various domains, addressing a spectrum of challenging problems, and collaborate with sales to turn them into viable solutions.
• You will leverage your expertise to act as a translator between business, data and IT, and communicate data strategy to senior client stakeholders, including C-level.
• You will own the creation of end-to-end viable data solutions keeping in mind long-term impacts and overseeing program inceptions for new product development.
• You will be responsible for formulating data governance strategies addressing security, privacy and compliance requirements.
• You will enable capability building in data strategy and governance, growing the next generation of data strategists.
• You will create differentiated assets in data strategy and governance to take to market.
• You will represent Thoughtworks in various online and offline forums, including events and conferences.

Job qualifications

Technical skills

• You have extensive experience as a consultant, with a proven track record of creating data strategy and solutions that drive business value.
• You have solid experience with data platforms and technologies.
• You have experience in providing advisory and consultative guidance for clients and cross-delivery teams.
• You have experience in engaging with C-level stakeholders to influence and enable the operationalization of an enterprise-wide data strategy.
• You have demonstrated leadership abilities, with the capacity to lead technical teams and drive projects to successful completion.
• You are flexible and adaptable to work on a variety of projects, leveraging technical expertise and leadership skills to maximize impact.
• You have a track record of ensuring proper data governance policies, including data lineage, quality checks and classification.
• You are familiar with AI and ML use cases and landscapes to influence the build of the right solutions to harness insights from data.
• You have experience in building high-level solution frameworks, leveraging various paradigms such as data-as-a-product, federated governance, et al, where needed.
• You have experience with data governance, data security and data privacy supporting business requirements.
• You are able to identify new business opportunities and develop differentiated Go-To-Market strategies to grow the Data and AI client and revenue base in the SEA market.
• You are able to work alongside our cloud partners to bring an informed perspective to accelerate new client acquisitions.

Professional skills

• You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
• You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
• You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
• You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
• You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
• Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.
• Ideate and work with marketing to develop go to market materials, campaigns and sales initiatives to increase brand awareness and drive revenue growth.

• Evaluate the potential consequences of changes to upstream and downstream systems.
• Develop and maintain programs (shell scripts, SQL scripts) adhering to coding standards and best practices.
• Follow the organization's SDLC processes, creating and updating relevant documentation.
• Participate in system design, review, and improvement, ensuring security and performance.
• Diagnose, troubleshoot, and resolve production issues, implementing both short-term and long-term solutions.
• Perform routine maintenance tasks, including disaster recovery drills and software updates.
• Provide ad-hoc support, data analysis, and troubleshooting to users.
• Manage, maintain, and optimize applications to meet service level expectations.
• Identify and implement improvements to enhance system performance and functionality.
• Coordinate and support production releases, including on-call and after-hours support.
• Proactively identify, assess, and escalate potential risks and issues.

Requirements:

• Hold a master’s or bachelor’s degree in Information Technology, Computer Science, Management Information Systems, Banking and Finance, or a related field.
• Have a minimum of 2 years of experience in MS SQL Server development, including work on SSIS packages, stored procedures, functions, and triggers.
• Demonstrate familiarity with the Software Development Life Cycle (SDLC) process.
• Exhibit strong problem-solving skills and thrive in a dynamic technical environment, with the ability to multitask and deliver high-quality solutions.
• Possess a comprehensive understanding of database management systems.

To apply, please visit www.gmprecruit.com and search for Job Reference: 25015

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

• 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.

Data Analyst

6-month contract

About the client:

We deliver ingenious health solutions that enable people to live their best lives. We are a $6.5 billion global healthcare company focused on making a world of difference for women, their families and the communities they care for. We have an important portfolio and are growing it by investing in the unmet needs of Women’s Health, expanding access to leading biosimilars and touching lives with a diverse and trusted portfolio of health solutions. Our Vision is clear: A better and healthier every day for every woman.

As an equal opportunity employer, we welcome applications from candidates with a diverse background. We are committed to creating an inclusive environment for all our applicants.

WHAT WILL YOU DO:

The incumbent is responsible in:

• Distributor model maintenance & Territory alignment activities
• Support the Sales Force Effectiveness (SFE) Manager in terms of:

- Required sales team performance analytics

- Including market cycle meeting presentation preparation

• Support Sales Force Effectiveness (SFE) Manager and Sales Force Effectiveness (SFE) Operations role in terms of:

- Relevant data analysis and input gathering from multi markets.

- Utilizing Power BI skills and data management skills for Dashboards reports

REQUIREMENTS:

• Bachelor’s degree or diploma in any fields.
• At least 2 years of data analysis experience
• Proficient in MS Office (i.e. MS Excel) and Data Analytics tools
• Good communication skills

Reg No: R22104540

EA License no: 94C3609