Total 4,037 data entry clerk job vacancies in Information Technology category in Singapore

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

1. Data Pipeline Construction

• Design, develop, and maintain data pipelines, ensuring a smooth flow of data from multiple sources to data warehouses or lakes.

• Enable, maintain, and support pipelines to provide unified and reliable data sources.

2. Data Architecture Design

• Responsible for designing and maintaining data architecture.

• Use technologies, databases, and storage solutions to handle data efficiently and securely.

3. ETL Processes

• Perform Extract, Transform, Load (ETL) operations: - Extracting data from various sources - Transforming raw data into a structured format - Loading the processed data into storage systems for analysis

4. Data Quality Assurance

• Implement data cleaning and validation processes to enhance data accuracy and consistency.

• Monitor data quality and optimize performance to ensure reliable and usable data for analysts and data scientists.

5. Scalability and Optimization

• Design systems that can handle large volumes of data,

• Ensure scalability of data infrastructure.

• Improve and optimize data storage and retrieval.

6. Data Governance

• Implement data governance and security measures to ensure compliance

• Create, manage, and implement policies, standards, and documentation

7. Data Analytics & Reporting

• Project Management of Data Analytics deliverables

• Create, publish, and admin Power BI reports and dashboards

• Delegate, Manage, and Coordinate with the extended Data Analytics team

Mandatory Skills

1. Programming

• Python

• SQL

• ETL

2. Database Management

• MS SQL Server Environment

• Data integration tools such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics

3. Power BI Expertise:

• DAX, Power Query, and creating advanced data visualizations.

• Experience in Data Modelling techniques 4. Azure Cloud Environment

• Proficiency in Azure cloud platform, including

• Azure SQL Database, Azure Data Lake Storage

• Azure Analysis Services

• Azure Data Studio

5. Useful experiences

• Machine Learning

• Artificial Intelligence

6. Required Soft Skills

• Problem-solving

• Collaboration

• Communication

Qualifications and Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

• Strong programming skills in languages such as Python, Java, or Scala

• Expertise in SQL and experience with both relational and NoSQL databases

• Proficiency in data modeling and database management

• Experience with big data technologies like Hadoop, Spark, and Kafka

• Strong experience in Azure cloud platforms

• Knowledge of data warehousing concepts and technologies

• Experience with ETL tools and processes

• Strong analytical and problem-solving skills

• Excellent communication and collaboration abilities

• 5+ years of relevant experience in data engineering, data analytics or must have been in a similar role

Preferred Skills

• Azure Data Engineer certification

• Azure Data Analytics and PowerBI certifications

• Experience with AI/ML will be advantageous

• Strong experience in data visualization tools and techniques

• Familiarity with agile delivery methodologies

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni

R24124686

Recruit Express Pte Ltd

EA License No: 99C4599

RCB No.: 199601303W

Job Description:

• Collaborate with other developers and engineers to design, build, and maintain applications.
• Develop end-to-end specifications for solution components.
• Perform testing and implementation of the solution.
• Troubleshoot software issues and participate in impact analysis of encountered issues.
• Generate relevant documentations, reports etc.
• Contribute to continuous improvement of software development best practices.
• Keeping up-to-date with industry trends and technology developments.

Requirements:

• Degree in Computing/ Computer Science/ Computer Engineering/ Info Systems / EEE or equivalent
• Entry level candidates with good learning attitude and relevant experience can be considered.
• Familiar to full-stack development and understand concepts of software engineering.
• Knowledge of Agile Development methodology.
• Knowledge of basic coding languages such as C++, Javascript, HTML5 and Java
• Basic programming experience.
• Knowledge of databases (SQL / NoSQL).
• Comfortable using AngularJS, NodeJS, ReactJS and other common frameworks to develop software for various platform.
• Ability to learn new software and technologies quickly.
• Ability to follow instructions and work in a team environment.
• Good team player with critical thinking, analytical and creative problem-solving skills.
• Detail-oriented.
• Candidates with more professional/complexity of experience can be considered for the senior role

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

Data Entry Clerk | Up to $2.1k | Penjuru (moving to Senoko in 2025)

Basic Salary - $1800 to $2100
Working Days - Mon to Fri + alt sat (8.30am to 5.30pm/8.30am to 12.30pm)
Working Location - Penjuru rd (moving to Senoko in 2025)

Jobscopes:

• Order processing - to do GR (Goods Receipt) and GI (Goods Issue) in SAP and WMS
• Liaising and co-ordinating with customer
• Performing daily/monthly/quarterly cycle count
• Any other ad-hoc duties

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant

Job Summary

• To support customer / business name data clean-up

Key Accountabilities

• Completion of data cleaning by assigned deadline.

Key Job Requirements

• Understand and work with Excel.

• Able to work with large data files.

• Good attention to detail

TELE me at @jacechooo or WA me at https://wa.me/+6582976283 NOW!

Interested candidates please submit your resume to [email protected]

Jace Choo Oi Kei

Personnel EA License No.: R1875164

Recruit Express Pte Ltd (EA Licence No.: 99C4599)

• Perform real time hardware & applications monitoring and response
• Perform 1st level of troubleshoot to allow resolution of the ticket within contractual duration
• Monitor applications, systems, devices, facilities and infrastructure according to standard procedure
• Perform data backup and tape operations according to the schedule defined
• Assignment of Incident to the resolver party
• Handle ad-hoc user account creation

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

About the team

The success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs. Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

About the role

As Data Engineer, you will be working on cutting-edge challenges in the big data and AI industry which requires strong passion and capability of innovation. You will collaborate closely with cross-functional teams to understand business requirements and translate them into technical solutions.

Responsibility

1. Architect efficient, scalable and reliable data pipelines and infrastructure for ingesting, processing, and transforming large volumes of data;

2. Define the technical strategy and roadmap for data engineering projects in alignment with business objectives, actively evaluate and bring in industry best practices and state-of-the-art technical approaches, and timely update the strategy according to the rapid change of the industry;

3. Own and drive data engineering projects by leveraging both internal and cross-functional resources, setting meaningful and challenging targets, and achieving them with innovative approaches;

Qualifications

Minimum Qualifications:

1. Bachelor's or Master's degree in Computer Science, Engineering, or related field;

2. Experience in data engineering, with demonstrated expertise in building scalable data pipelines and infrastructure;

3. Proficiency in programming languages such as Python, SQL, and Java;

4. Experience with big data technologies such as Apache Spark, Hadoop, and Kafka.

Preferred Qualifications:

1. Strong understanding of database systems, data warehousing, and distributed computing concepts;

2. Excellent communication, and interpersonal skills.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities

• To communicate incident status and update respective parties involved
  Responsible for updates into ticketing system and complete with detailed information
• Responsible to maintain daily operation Network Management System (NMS)
• Responsible to create and track trouble tickets to closure and perform technical troubleshooting in accordance to established troubleshooting procedures
• To handle incidents for next level technical support or/and field dispatch
• To assist in other operational tasks as requested.

Requirements

• Min. Diploma in IT / Computer Engineering or equivalent.
• Min 2 years of technical support experience in a data center environment
• Knowledge of Fibre Network, Transmission Network and IP Network
• Good knowledge on Network Management System (NMS)
• Good communications skill and experience in customer service.
• Shift-work environment ( may require to work Saturday / Sundays / Public Holidays / Afterhours)

• 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.

About DKatalis

DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem-linked financial services business. DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC.

About the role

We are seeking an experienced Senior Data Scientist to lead our data science initiatives and drive innovation in our financial technology products and services. The ideal candidate will have a strong background in machine learning, deep learning, and their applications in the banking and financial services industry.

Key Responsibilities:

• Lead the development and implementation of advanced machine learning models for a variety of projects, including but not limited to:
  • Fraud detection and prevention
  • Anomaly detection in financial transactions
  • Recommendation engines for financial products
  • Risk assessment and management
  • Customer segmentation and personalization
  • Credit scoring and loan approval automation
  • Anti-money laundering (AML) systems
  • Market trend prediction and algorithmic trading
• Develop and implement large language models (LLMs) for applications such as:
  • Automated document processing and information extraction
  • Sentiment analysis of customer feedback and market reports
• Collaborate with cross-functional teams, including engineering, business stakeholders, and data analysts to identify opportunities, define problems, and implement data-driven solutions
• Mentor junior data scientists and provide technical leadership to the data science team
• Design and oversee the end-to-end machine learning pipeline, from data ingestion and preprocessing to model deployment and monitoring in production environments
• Stay current with the latest advancements in AI and machine learning, particularly in the fintech space, and incorporate new techniques into our projects
• Communicate complex technical concepts to both technical and non-technical audiences, including executives and stakeholders

Requirements:

• Degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field
• 5+ years of experience in applied data science, with a strong focus on the banking and financial services industry
• Proven track record of building and deploying machine learning models into production environments
• Proficiency in Python and the PyData ecosystem (NumPy, pandas, scikit-learn)
• Strong experience with deep learning frameworks such as PyTorch or TensorFlow
• Familiarity with cloud platforms (AWS, GCP, or Azure) and their machine learning services
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL
• Experience with A/B testing and experimental design in a financial context
• Demonstrated ability to work with and process various data types, including structured financial data, unstructured text, and time series data
• Strong understanding of statistical concepts and their applications in finance
• Excellent communication skills, with the ability to present complex ideas to both technical and non-technical audiences
• Experience leading projects and mentoring junior team members

What will make you stand out:

• Experience with LLMs, including fine-tuning and deployment for specific use cases
• Knowledge of MLOps practices and tools for model versioning, deployment, and monitoring
• Relevant open-source projects, blog posts, conference talks, etc

This role offers an exciting opportunity to work at the forefront of financial technology, applying cutting-edge machine learning techniques to solve real-world problems in the banking and financial services industry. The successful candidate will play a crucial role in shaping the future of our products and services, driving innovation, and contributing to the growth of DKatalis.

Job Responsibilities:

• To be responsible for driving and utilizing data analytics to develop intelligent insights for AML programs which includes customer risk-profiling, enhanced name screening, advanced on-going monitoring and management information system

• To work with multiple stakeholders to obtain data and deliver outcomes

• To work with large data sets and visualize outputs, ensuring data accuracy and good segmentation of data sets for tactical data mining tasks

• To perform documentation of methodology and outputs of data analytics and perform model validation

• Break down complex issues and develop solutions through data analytics, and present the findings in a structured and explainable manner

• Leverage on data analytics to support overall AML strategies to meet MAS regulations and expectations

• Use advance data modelling and analytical techniques to interpret key findings and leverage these insights in initiatives to improve efficiency and effectiveness of AML program

• Deliver MIS dashboard to facilitate AML compliance oversight and reporting

Job Requirements:

• Bachelors or Masters Degree in a quantitative field (e.g. Statistics) • Fresh grads, 0-5 years of experience are welcome to apply

• Internship experience or working experiences in relevant data analytics role

• Experience in financial crime compliance is an added advantage but not a must

• Proficient in SQL and Python

• Proficient with MS Office and Google Suite

• Detailed and process orientated

• Ability to think innovatively

• Ability to present complex ideas in a concise and simple manner

• Ability to work under tight timelines

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

About the team

The success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs. Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

About the role

We are looking for product manager/data business analyst to build a platform in order to power the monetization business with unstructured data. The end-to-end product will need to drive the scaling of data labelling / annotation through automated processes and deliver significant measurable impact with the least possible cost (labelling productivity and efficiency).

What You'll Do

As a product owner, what you will do

1. Develop and implement the product strategy and roadmap;

2. Conduct market research, competitor studies, and gather customer feedback and translate them into product design;

3. Define and prioritize product features based on business goals and customer needs, design screen mockups through figma, deliver PRDs that illustrate design clearly, present with developers;

4. Conduct user acceptance test;

5. Monitor product performance and iterate based on user feedback and market trends;

6. Collaborate with cross-functional teams to ensure successful product launches and ongoing development.

Qualifications

Minimum Qualifications:

1. Bachelors/Master's degree in related business or technical field, or equivalent (preferably in Computer Science);

2. 3 years of working experience with at least 1 or 2 years of product management experience;

3. Ability to develop long-term product vision and roadmap and translate into executable deliverables and milestones;

4. Knowledge and passion for technical and platform product management experiences;

Preferred Qualifications:

1. Experience in driving elements of product development life cycle from vision to execution (i.e., product vision, GTM strategy, driving requirements and product launch);

2. Experience working on large scale platforms to drive growth, retention, and engagement initiatives for cloud/enterprise and/or developer areas.

3. Excellent customer-facing written and verbal communication and presentation to stakeholders and executives;

4. Ability to influence & guide cross-functional teams without authority (e.g. Engineering, UX/UI, Program Management etc.)

5. Familiar with PRD writing(e.g. wireframes, figma, swimlane diagram, sequence diagram etc.) and functional design.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Your Role

As a Lead Data Engineer, you will play a leading role in designing, building, and optimizing our data infrastructure, ensuring that it supports the advanced analytics need of the bank. You will oversee a team of data engineers, working closely with data analysts, DevOps team, infrastructure engineers, and other stakeholders to deliver high-quality data solution.

Your main responsibilities will include:

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

· Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.

· Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.

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

· 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.

· 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.

Requirements

· Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.

· At least 10 years of 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, Ranger, 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 Grafana, Prometheus, Splunk will be an added benefit

· Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.

· Excellent collaboration and communication skills to work effectively with cross-functional teams.

· Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.

· Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.

Job Descriptions：

• Responsible for the operation and maintenance of mobile equipment in idc
• Responsible for the operation and maintenance of the Linux server/switch/AP in idc
• Responsible for the operation and maintenance management specifications of idc

Job Requirements

• Understand common Linux maintenance commands, Android device flashing, etc. ADB instructions are preferred
• Basic understanding on Network Protocols, and server operation in Linux OS
• Excellent communication skills (oral and written) in English. Being able to converse in Mandarin and write will be a bonus.

How to Apply

Only applications submitted via OUR RECRUITMENT PORTAL will be considered unless a valid reason is presented and accepted prior to the closing date.

For information about the job requirements and qualifications and to submit your application, please go to

https://staffing-les.international.gc.ca/en/careers/program-clerk-imc-spore-192464-en

Selection Process Nº: 192464-6

Salary: SGD 34,492 per annum, 2 months bonus + benefit package (as per Terms of Conditions of Employment for Locally-Engaged Staff in Singapore)

Contract Type: Indeterminate or Term (Full-time) (1 year)

Term Details: This position is a Locally Engaged Staff position, subject to the Terms and Conditions of Employment for LES in Singapore.

Job Function: Administrative

Classification: LE - A1

Location: The High Commission of Canada in Singapore

Number of Vacancies: 2

Closing date for application: 4 November, 2024 at 23:59 UTC/GMT +8:00 (Singapore Time)

For information about the job requirements and qualifications and to submit your application, please go to

https://staffing-les.international.gc.ca/en/careers/program-clerk-imc-spore-192464-en

Job Description & Requirements

• Perform data extraction, cleaning, transformation, and flow.
• Design, build, launch and maintain efficient and reliable large-scale batch and real time data pipelines with data processing frameworks.
• Integrate and collate data silos in a manner which is both scalable and compliant.
• Collaborate with Project Manager, Frontend Developers, UX Designers and Data
• Analyst to build scalable data-driven products.
• Be responsible for developing backend APIs & working on databases to support the applications.
• Bridge the gap between engineering and analytics.
• Work in an Agile Environment that practices Continuous Integration and Delivery
• Work closely with fellow developers through pair programming and code review process

Requirements:

• Experience with building production-grade data pipelines, ETL/ELT data integration with proper documentation
• Proficient in general data cleaning and transformation (e.g. pandas, pysparks, SQL)
• Knowledge in database design and various databases (e.g. structured dbase(postgres, mysql etc and unstructured -mongodb etc)
• Knowledge about system design, data structure and algorithms
• Knowledge with rest api and web requests/protocols in general
• Comfortable coding in at least 2 scripting language (eg. Python/SQL)
• Comfortable working in both windows and linux development environments
• Interest in data engineering in a big data environment using Cloud
• platforms (i.e. AWS, Azure, Google Cloud)
• Familiar with data modelling, data access, and data storage infrastructure like Data
• Mart, Data Lake, and Data Warehouse.
• Proficient in creating comprehensive data dictionaries to ensure clear and consistent data definitions.
• Skilled in designing Entity-Relationship Diagrams (ERDs) to visually represent data models and relationships.
• Capable of collaborating with stakeholders to understand business processes and develop effective data solutions.
• Familiar with BI Tools such as Tableau
• Familiar with Docker containers

Job Responsibilities:

• Conduct data analysis and generate performance reports for estate sub-systems.
• Develop data processes workglows and analytics programs.
• Build Machine Learning algorithms and apply statistical methods to extract insights for Smart Estate applications.
• Extract data from existing Building Management Systems using BACnet and Modbus protocol.
• Design and implement ETL pipelines to transform raw data into analysis-ready formats.
• Maintain and enhance data aggregation and ingestion processes using .NET and Python.
• Identify ways to improve data reliability, efficiency and quality.
• Ensure compliance with project requirements, performance standards, and specifications.
• Perform quality control and regularly report on project status.
• Collaborate with Product Development and Operation team to support succesful implementation.

Job Requirements

• Bachelor’s Degree or equivalent in Electrical/Electronic Engineering or Computing Engineering, Information Technology or related field.
• Minimum 1 year of work experience in data engineering across diverse projects.
• Proficient in Python, MSSQL and PostgreSQL programming.
• Strong knowledge of data science and data management.
• Knowledge in BMS communication protocols (BACnet and Modbus) is a plus.
• Experience with Data Management and ETL process is preferred.
• Strong logical and analytic skills.
• Able to work independently and efficiently in a fast-paced environment.

• Work closely with data stewards, data analysts and business end-users to implement and support data solutions.
• Design and build robust and scalable data ingestion and data management solutions for batch loading and streaming from data sources using Python.
• Familiar with SDLC process: Requirement gathering, design and development, SIT testing, UAT support and CICD deployment for enhancements and new ingestion pipelines.
• Ensure compliance with IT security standards, policies, and procedures.

Skills (must have):

• Possess a degree in Computer Science/Information Technology or related fields.
• At least 3 years of experience in a role focusing on the development and support of data ingestion pipelines.
• Experience with building on data platforms, particularly Snowflake.
• Proficient in SQL and Python.
• Experience in continuous integration and continuous deployment (CICD).
• Experience in Software Development Life Cycle (SDLC) methodology.
• Experience in data warehousing concepts.
• Strong problem solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Able to design, implement solutions and perform code reviews.
• Agile, fast learner, and able to adapt to changes.

Skills (good to have):

• Experience with Cloud environments (e.g. AWS).
• Experience in Java.
• Experience in ETL tools (e.g. Informatica).

1. Data processing from reading taken in fieldwork.

2. Training in engineering software will be provided.

3. Basic computer skills, able to use MS Office.

4. Highly motivated, must be able to work well collaboratively or independently.

5. Attention to detail, responsible, and well organized

Roles & Responsibilities

• Data entry
• Coordinate production administrative support
• Administrative support to the supervisor
• Other ad-hoc duties assigned by the supervisor

Requirements

• Accuracy and attention to details
• Ability to understand process flow
• Proficient in Microsoft Word, Excel and Powerpoint

Working Hours: Flexible (at least 3 days a week) *Can be discuss

Normal Working Hours: Monday to Friday (8.30am to 6.00pm)

Working Location: Tuas Link 1

Hourly Rate

Job Description

Intercontinental Exchange, Inc. (ICE) presents a unique opportunity to work on cutting-edge technology and business challenges in the financial sector. The ICE Network Engineer provides leadership in network design, deployment, maintenance, and operational supports. The successful candidate will be able to multitask in a dynamic team-based environment demonstrating strong problem-solving and decision-making abilities and the highest degree of professionalism.

The Lead Network Engineer is an important role within the organization serving as a technical leader for Analysts and Engineers. The lead engineers are subject matter expert in parts of the network eco-system enabling them to handle complex issues. The engineer is fully involved in the project work, taking ownership of large network deployments from the design phase to the implementation, documentation, and support handover.

Along with having larger domain knowledge and advanced trouble-shooting skills. The Lead Engineer will be looked upon as an informal trainer to Analyst and Engineers, using every encounter to share knowledge and recovery tips with Engineers, better equipping them to handle similar issues in future. All interactions with the clients, colleagues and vendors must remain highly professional, helpful, and proactive.

Responsibilities

• Design, deploy, support, and maintain mixed vendor network infrastructure.
• Assist ICE staff with problem solving and escalation procedures.
• Understand and follow operational policies/procedures and promote adherence to same
• Provide technical knowledge needed to ensure safe, effective, and efficient changes to the network infrastructure.
• Assist with development of policies and procedures for maintaining network infrastructure.
• Collaborate and work closely with all other IT teams.
• Lead Incident investigations, diagnosis, and service restoration and always give priority to the resolution of incidents.
• Provide consultation (troubleshooting, designing, on-boarding, risk mitigation, operational improvement) for areas of domain strength.
• Informal Trainer to Level II; ensures Level II skills are constantly growing through support and guidance.
• Participation in 24/7 on-call rotation if needed.

Knowledge and Experience

• Advanced knowledge of Cisco, Juniper, Arista and other vendor equipment and configuration
• Advanced knowledge and experience with Routing Protocols (BGP, ISIS, OSPF, etc.)
• Strong experience in MPLS and Traffic Engineering
• 10+ years’ experience hands on support and troubleshooting of networks.
• 6+ years’ experience with design and implementation on complex networks
• Understanding of network management, security, and monitoring
• Excellent writing and documentation skills
• Excellent customer service attitude
• Ability to operate effectively and professionally under pressure.
• Bachelor’s degree in computer science, Information Technology, or a related field

Preferred

• Experience working on financial and HFT networks.
• Strong experience in Multicast in switched and routed networks
• Expert level network certifications: CCIE, JNCIE. Etc.
• F5, Checkpoint, or Palo Alto advanced certification
• Automation and scripting experience
• Unix/Linux system administration
• Running and analyzing sniffer traces with deep TCP/IP protocol understanding.
• Ability to grasp very complex architectural concepts.
• In-depth hardware knowledge of switches and routers: (Internal chipsets specifications, TCAM and memory details, buffering capabilities and multicast replication details).
• Master’s degree in computer engineering or related field preferred but not needed.

Schedule

This role offers work from home flexibility of one day per week.

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

We are seeking a passionate and strong leader in Data Analytics and Data Science to lead the strategy, development, and implementation of data-driven solutions across the organization. This role will oversee and manage the end-to-end process, from data collection, analysis, solution deployment and business integration.

What you will do:

• Data Strategy & Vision: Understand key company priorities and translate them into an actionable Data strategy to drive data maturity across the organization, enabling business growth, improve risk management, and enhanced customer experiences. 
• Team Leadership: Lead and mentor the Data Analytics and Data Science domain leads and their respective reportees to develop a high performance data team
• Influence Stakeholders: Partner with cross-functional teams such as Data Engineering, Product, Marketing, Sales, Risk, and Finance to drive data-driven initiatives, align on objectives, and ensure effective execution. 
• Data to Drive Business Impact:  Initiate new opportunities and continue existing projects where data can deliver analytics recommendations to drive key business metrics, and develop processes and frameworks to enable this.  

What we are looking at:

• At least 7+ years of experience in data analytics, data science, or related fields, with at least 3 years in a leadership role. Experience in  Financial Services, Fintech, and/or Tech companies and domain exposure to SME credit risk is preferred.
• Proven experience leading and managing teams in a fast-paced, high-growth company or fintech environment. Experience being a manager of managers is preferred.
• Proficient in SQL, Python or R and data visualization tools (e.g., Tableau, Qlik). Experience selecting and implementing tools for analytics and data science is preferred.
• Ability to translate complex data insights into actionable business strategies and influence stakeholders.
• Excellent communication skills, capable of presenting insights to non-technical stakeholders and influencing strategic decisions.
• Excellent problem solving and critical thinking skills  in a structured fashion
• Strong prioritization abilities according to business needs and constraints.

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

We are seeking a talented Data Engineer and Data Analyst to design, build, and maintain our data infrastructure. In this managerial position, you will develop robust data pipelines, ensure data quality, and optimize storage systems to empower data-driven decision-making across the organization.

Leading a team of Data Analysts, you will oversee comprehensive reporting and analytics while providing strategic guidance in Data Strategy and Analytics, including AI and ML initiatives. As a specialist in Azure Data Services, you will be instrumental in driving insights and fostering innovation.

• Data Pipeline Construction: Design, develop, and maintain data pipelines for smooth data flow from multiple sources to warehouses or lakes, ensuring reliable data sources.
• Data Architecture Design: Create and manage data architecture using various technologies and storage solutions for efficient and secure data handling.
• ETL Processes: Conduct Extract, Transform, Load (ETL) operations to process raw data into structured formats and load it into storage systems for analysis.
• Data Quality Assurance: Implement data cleaning and validation processes to enhance accuracy and consistency, while monitoring and optimizing data quality.
• Scalability and Optimization: Design scalable systems to handle large data volumes and improve storage and retrieval processes.
• Data Governance: Establish governance and security measures to ensure compliance, and develop policies and documentation.
• Data Analytics & Reporting: Manage Data Analytics projects, create and oversee Power BI reports and dashboards, and coordinate with the extended Data Analytics team.
• Ad Hoc Duties: Perform any additional tasks assigned by the supervisor.

Mandatory Skills:

1. Programming: Python, SQL, ETL
2. Database Management: MS SQL Server Environment, Data integration tools such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
3. Power BI Expertise: DAX, Power Query, and creating advanced data visualizations. Experience in Data Modelling techniques.
4. Azure Cloud Environment: Azure Cloud Environment, Proficiency in Azure cloud platform, including Azure SQL Database, Azure Data Lake Storage, Azure Analysis Services, Azure Data Studio
5. Useful experiences: Machine Learning. Artificial Intelligence

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Morgan McKinley is seeking a Data Engineer for a 6 month contract assignment with a possibility to extend or to go perm!

Responsibilities:

• Collaborate across multiple workstreams to gather and support data requirements for reports and dashboards.
• Analyze and perform data profiling to identify data patterns and discrepancies, adhering to Data Quality and Data Management processes.
• Follow best practices in designing and developing end-to-end data pipelines, including data transformation, ingestion, processing, and surfacing of data for large-scale applications.
• Utilize Azure technology stack to develop and automate data pipelines with Databricks and Data Factory.
• Translate business requirements into technical specifications for system analysts and technical teams to facilitate project design and delivery.
• Conduct source data analysis and perform data ingestion in both batch and real-time patterns using various methods such as file transfers, APIs, and data streaming (Kafka and Spark Streaming).
• Develop ETL processes with Spark to transform and standardize data according to business needs.
• Create data exports, data APIs, and data visualizations using tools like Power BI, Tableau, or other visualization platforms.

Qualifications:

• 3 to 5 years of experience in data engineering, specifically with Databricks and Python.
• Strong proficiency in Python and Databricks is essential.
• Experience with AWS cloud technologies is preferred.
• Familiarity with data processing, ETL development, and data visualization tools.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to collaborate with technical and non-technical teams.

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan Mckinley 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.morganmckinley.com/sg/privacy-policy. You acknowledge that you have read, understood, and agree with the Privacy Policy.


Morgan McKinley Pte Ltd
Koh Boon Sien
EA Licence No: 11C5502
EA Registration No. R1110345

We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Financial Services (FSO) and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including asset management, banking and capital markets, insurance and private equity, we provide integrated advisory, assurance, tax, and transaction services.

The opportunity

With our Data & Analytics team in FSO experiencing rapid growth, now is an exciting time to join us on this journey. We are looking for talent with a passion for data and the know-how to partner with our to clients to disrupt and transform Financial Services organisations.

We are seeking a skilled Data & AI Engineer to join our dynamic team. The ideal candidate will support the development and deployment of scalable and optimized AI/machine learning (ML) models. The role focuses on working with large volumes of real-time, unstructured data to build AI/ML solutions that transition from theoretical models to practical applications. The Data & AI Engineer will also run performance tests, troubleshoot, and ensure smooth operationalization of these models in a production environment while leading and overseeing project teams towards completion.

Key Responsibilities:

• AI/ML Model Development & Optimization: Design, develop, and optimize AI and machine learning models for real-time applications. Build algorithms for data extraction, transformation, and loading (ETL) to manage large volumes of unstructured data.
  
• Model Deployment:Work closely with data scientists to deploy AI/ML solutions from theoretical models to production-ready systems. Collaborate with software engineers to ensure proper integration of models within relevant platforms.
  
• Performance Testing & Debugging:Run experiments to assess the performance of deployed models in real-time environments. Identify, troubleshoot, and resolve issues that may arise during deployment, ensuring model reliability and scalability.
  
• Collaboration & Cross-functional Work:Collaborate within a multidisciplinary team, applying your expertise in statistics, data science, and programming. Work closely with data engineers, software developers, and other stakeholders to ensure cohesive AI solution delivery.
  
• Technology & Platform Support:Stay up to date with the relevant software platforms and infrastructure necessary for deploying machine learning models. Ensure compatibility and seamless integration with the firm’s technical stack and production systems.

To qualify for the role, you must have

• Minimum 10 years’ experience in Financial Services (either industry or consulting and appropriate to your level). Preferably a year of consulting experience in any of the Big 4 or consulting firms.
• Proficiency in scripting and programming languages such as Python, R, or Java.
• Strong experience in data extraction, transformation, and loading (ETL) processes for large, unstructured data sets.
• Solid understanding of AI/ML model deployment practices, including cloud-based platforms (AWS, GCP, or Azure).
• Experience running model performance tests, identifying bugs, and implementing solutions in production environments.
• Knowledge in statistics, data science, and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Ability to work collaboratively in a fast-paced team setting.
• Proficiency in scripting and programming languages such as Python, R, or Java.
• Strong experience in data extraction, transformation, and loading (ETL) processes for large, unstructured data sets.

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.

What we offer

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

Apply now.