Total 4,022 data entry job vacancies in Information Technology category in Singapore

Key Responsibilities:

• Installation, commissioning, vertical and horizontal integration, operations support of Subscriber Data Management Network Elements
• Support and lead witness testing during UAT along with Customer.
• Creating detailed MOP (Method Of Procedure) documents for planned changes in customer platform, reviewing and validating MOP internally and with customer to get customer approval.
• Execution MOPs on customer platform during designated maintenance windows (including night time if required).
• Troubleshoot, diagnose, and suggest/perform corrective or preventative maintenance actions on issues reported by customers. Provide in depth investigation of critical escalated issues.
• Use and apply Integration and Support processes, policies & tools documentation.
• To support the successful integration of new systems, products, services and validation campaigns to assure the quality of the deliveries through technical and commercial launch
• Maintain high level of customer satisfaction by providing services fully compliant with the SLA.
• Create and maintain customer relationship on a day-to-day basis, e.g., communication, information gathering, operational review, escalation and reporting. Provide appropriate follow-up to customers.
• Engage additional support level within a predefined time frame and collaborate with them, as needed, in order to resolve the issues (internal and external escalations).
• Ensure every customer reported issue is properly documented for tracking purposes and learning opportunities.
• Ensure time tracking accuracy for cost charging purposes.
• Understand the service metrics, thresholds, and key performance indicators used to govern the ticket resolution process.
• Use the knowledge management tool by searching/creating/updating articles. Proactively share knowledge.

Required:

• Bachelor’s degree or foreign equivalent in Electrical Engineering, Telecommunication or Computer Science or related field.
• 3 years of progressive experience as Subscriber Data Management Engineer in telecommunication industry

Interested candidate please click on the following link to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile. <Insert GO job URL here>

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

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• NURUL ATIKA BINTE KASSIM • REG Number R1986508

Job Responsibilities:

• To oversee data projects, operations and initiatives in the Great China & Intercontinental region in both Commercial and Medical areas
• To be able to support and partner in country data operations and engineering leads
• To oversee analytics operations in the region in alignment with global data operations/engineering teams
• Develop strategies for effective data analysis and reporting, able to build/contribute to building systems to efficiently ingest and transform data into meaningful insights
• To lead/participate technical discussion forums with global, regional and country counterparts
• Vendor management, measure, improve and control for any existing/ new strategic partners support all data work
• Maintain high level of customer service with business and commercial leads

Job Requirements:

• With at least 10 years of established experience in a technology role
• Bachelor Computer Science / Computer Engineering, or equivalent experience
• Proven data management and data tools build capability (MSFT Power Platform)
• Knowledge in commercial operations/excellence, field force effectiveness
• Knowledge of AI/ML, Gen AI
• Strong stakeholder’s engagement and management skills are important to work across all cross functional teams

To apply, please visit www.gmprecruit.com and search for Job Reference: 24081

To learn more about this opportunity, please contact Yi Fang at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Law Yi Fang | Registration No: R1113115

Responsibilities:

• Data Pipeline Development: Develop and maintain data pipelines that extract, transform, and load (ETL) data from various sources into a centralized data storage system, such as a data warehouse or data lake.
• Data Integration: Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers.
• Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data,and prepare the data for analysis, reporting, or machine learning tasks.
• Contribute to common frameworks and best practices in code development, deployment,and automation/orchestration of data pipelines.
• Implement data governance in line with company standards.
• Partner with Data Analytics and Product leaders to design best practices and standards for developing and productionalising analytic pipelines.
• Partner with Infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new tools and techniques that leverage the cloud environment (Azure, Databricks, others).
• Monitoring and Support: Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring tools, alerts, and automated error handling mechanisms to ensure data integrity and system reliability.

Requirements:

Must haves

• Proven experience as a Data Engineering role (3 years +), with a strong track record of delivering scalable data pipelines.
• Extensive experience designing data solutions including data modelling is required.
• Extensive hands-on experience developing data processing jobs (PySpark / SQL) that demonstrate a strong understanding of software engineering principles is needed.
• Experience orchestrating data pipelines using technology like ADF, Airflow etc is necessary.
• Experience working with both real-time and batch data is important.
• Experience building data pipelines on Azure is crucial. AWS data pipelines will be beneficial.
• Fluency in SQL (any flavour), with experience using Window functions and more advanced features is required.
• Understanding of DevOps tools, Git workflow and building CI/CD pipelines is essential.

Nice to Have

• Domain knowledge of commodities, covering Sales, Trading, Risk, Supply Chain,Customer Interaction, etc. is highly desirable.
• Familiarity with Scrum methodology and experience working in a Scrum team can be advantageous. This includes understanding of Scrum roles, events, artifacts, and rules, and the ability to apply them in a practical context.
• Experience with streaming data processing technologies such as Apache Kafka, Apache Flink, or AWS Kinesis can be beneficial. This includes the ability to design and implement real-time data processing pipelines.

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

• Proficient in working with various types of databases such as but not limited to, Microsoft SQL, MySQL, Oracle, PostgreSQL, Amazon RDS and Aurora.
• Responsible for administrating databases hosted in both on-premises and cloud environment such as but not limited to Microsoft Azure, Amazon Web Service, Google Cloud Platform and Alibaba Cloud, in terms of provisioning and managing database instances, setting up replication and high availability, and monitor database performance.
• Inspect and confirm database backup is valid, database cronjobs and inform respective job owner on any job failure.
• Monitor and perform rectification to issues found in system logs, error logs and dump files, table spaces to detect those reaching threshold, objects reaching max extents and increase extents if required.
• Regular inspection on database objects, database schemas, database links, database users to verify if those inactive ones are required. Housekeeping of logs & dump files to control utilization of storage space.
• Monitor for database locks and remove invalid session threads, database and listeners to be up and running at high availability.
• Monitor for processes consuming CPU or virtual memory or with disk I/O higher than threshold values.
• Provide necessary assistance in shutting down and starting up databases for the periodic system maintenance done during off-peak hours.
• Perform database patching at indicated time, patching is to be tested successfully in test environment prior to applying in production.
• Assist with immediate critical security patching at indicated time, patching is to be tested successfully in test environment prior to applying in production.
• Provide investigation into reported issues suspected to be caused by database and perform remediation.
• Provide support such as execution of database scripts, object deployment, database user management.
• Perform database refresh from production to test environment.
• Conduct reporting on the database health check, growth, and activities with recommendation for tuning of database to improve performance.
• Provide listing on reported issues indicated with SLA compliances.
• Work with database supplier to rectify issues related to the core product.
• Test changes to database in a test environment prior to applying in production.
• Maintain proper, relevant, and updated documentation of managed databases including design, setup configuration, performance tuning changes, troubleshooting-specific procedures and required reports.

Certifications:

• Microsoft Certified Azure Database Administrator
• Oracle Certified Professional
• MySQL Database Administrator
• CompTIA DataSys+ or CompTIA Data+

Qualifications:

• At least six months (to one year) work experience in a database administrator role.
• At least has prior work experience or project deployment with cloud databases.

The Opportunity

• Adecco is partnering with one of the most well-established and respected financial institution with a strong track record of success.
• They have a culture of innovation and continuous improvement, constantly looking for ways to improve their services and offerings.

Job Responsibilities

Inside the team, the successful candidate will:

• Will work 50% on Data Archival & Masking topic remaining 50% on Java related technologies
• Implement Archival & Data Masking solution defined by Product Expert
• Prepare and maintain technical documentations and software deliverables
• Knowledge on java development is preferred
• Execution of Morning checks on existing Archiving & Data masking processes on production
• L3 support for Data Archival & Data masking and Other Java projects

Job Qualification

• The position requires 4+ years relevant experience in developing Archiving & Data Masking solutions.

Mandatory

• 4+ years experience in SQL for various Database engines ( SQL Server, Oracle, Sybase, and preferably DB2 )
• Understanding of database architectures, data relationship integrity, database administration, test data management, and the normalization of data elements
• Willingness to work on Java applications as well
• Experience with IBM's Optim products for Archiving & Data Masking is preferred (if not willingness to learn IBM Optim is must - on job training will be provided)
• Willingness to work with IDP USignOn product is must (on job training will be provided)

Nice to Have

• Experience in development of Java application

Other Professional Skills and Mind-set

• Ability and willingness to learn and adopt new technologies
• Strong organizational and communication skills
• Strong analytical and problem solving skills
• Awareness of various software development procedures
• Ability to follow defined procedures
• Understanding and respect of cultural diversity

Next Step

Click “apply” or send resume to: Tamanna Bilandi [email protected]

EA Licence No.91C2918 | Personnel Registration No. R2096241

Responsibilities:

• Data Pipeline Development: Develop and maintain data pipelines that extract, transform, and load (ETL) data from various sources into a centralized data storage system, such as a data warehouse or data lake.
• Data Integration: Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers.
• Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis, reporting, or machine learning tasks.
• Contribute to common frameworks and best practices in code development, deployment, and automation/orchestration of data pipelines.
• Implement data governance in line with company standards.
• Partner with Data Analytics and Product leaders to design best practices and standards for developing and productionalising analytic pipelines.
• Partner with Infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new tools and techniques that leverage the cloud environment (Azure, Databricks, others).
• Monitoring and Support: Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring tools, alerts, and automated error handling mechanisms to ensure data integrity and system reliability.

Requirements:

Must haves

• Proven experience as a Data Engineering role (3 years +), with a strong track record of delivering scalable data pipelines.
• Extensive experience designing data solutions including data modelling is required.
• Extensive hands-on experience developing data processing jobs (PySpark / SQL) that demonstrate a strong understanding of software engineering principles is needed.
• Experience orchestrating data pipelines using technology like ADF, Airflow etc is necessary.
• Experience working with both real-time and batch data is important.
• Experience building data pipelines on Azure is crucial. AWS data pipelines will be beneficial.
• Fluency in SQL (any flavour), with experience using Window functions and more advanced features is required.
• Understanding of DevOps tools, Git workflow and building CI/CD pipelines is essential.

Nice to Have

• Domain knowledge of commodities, covering Sales, Trading, Risk, Supply Chain, Customer Interaction, etc. is highly desirable.
• Familiarity with Scrum methodology and experience working in a Scrum team can be advantageous. This includes understanding of Scrum roles, events, artifacts, and rules, and the ability to apply them in a practical context.
• Experience with streaming data processing technologies such as Apache Kafka, Apache Flink, or AWS Kinesis can be beneficial. This includes the ability to design and implement real-time data processing pipelines.

Job Description:

Design & Build Enablement:

• The project involves designing and building enablement solutions for the client.
• Responsibilities: As an Entry-Level to Mid-Level Application Developer, you will be responsible for designing and building enablement solutions using your expertise in Design & Build Enablement.
• Your day-to-day activities will include analyzing client requirements, developing technical designs, and collaborating with project teams for successful project delivery.
• Analyze client requirements to design and build enablement solutions using Design & Build Enablement proficiency.
• Provide expert technical guidance and support throughout the project lifecycle.
• Conduct rigorous testing and troubleshooting to optimize the performance of enablement solutions.

Requirements:

• MUST have: Certified Azure Kubernetes Services and proficient and experienced in the deployment of AKS in a project implementation

Responsibilities:

- Support the organisation's data centre services through monitoring and management for system, network and facilities
- Perform computer operations including account and tape management
- Incident management and act as escalation point to any facilities and system / network
- Manage and administer the service desk operations
- System alert monitoring and perform necessary escalation
- Liaison with landlord / vendor with regards to utilities, building services / facilities and systems issues
- Assist in planning and execution of disaster recovery activities
- Ensure procedures, processes and service level are being followed for any service delivery and operations
- Review of the data centre operations and report any gaps and issues
Maintain proper IT documentation and prepare monthly reporting

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

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

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
• Reg. <R1548745> <Teoh Shiau Swang>

• Support global data analytics platforms & products
• Act as primary contact for business users
• Manage vendor accounts & cloud service tickets
• Develop long-term data operation framework
• Engage with business to prepare data

Requirements:

• Minimum Degree in Data Science/Data Analytics with at least 5 years of relevant working experience.
• Proficient in Databases Concepts, SQL related skills, Azure knowledge, Databricks, Power BI and ITIL framwork and process

Interested candidates please send in your resume to:

Yvonne Suan Ying Zhen

Outsourcing Team

Email: [email protected]

EA License No: 99C4599

*All information will be treated with strictest confidence. We regret that only short-listed applicants will be notified.

PRODUCT AREA

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

JOB DESCRIPTION

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

ADDITIONAL JOB DESCRIPTION

In this role, you will exercise domain expertise and drive engagements with both internal and external audiences. You will stay up-to-date on technology in analytics space, and make things happen through influence, passion and willingness to harness customer business opportunities, and deliver complex data analytics solutions.

Qualifications

JOB RESPONSIBILITIES

• Partner with the Data Analytics Specialists Leaders (i.e., Sales and Customer Engineering), Product Leaders and Executive Leadership to ensure solutions alignment with engineering, product priorities, and Go-To-Market (GTM) priorities.
• Work with Customer Engineering Leadership to develop and motivate a team of engineers spanning across APAC specialists in the areas of focus and assist in the delivery of published materials aligned to the specific specialist focus area, supporting Google Cloud solutions and use cases.
• Reflect the APAC customers, partners and field to influence a data-driven goal and direction for technology, solutions and use case development at Google Cloud.
• Travel up to 30% of the time as needed.

MINIMUM QUALIFICATIONS

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 6 years of experience in a customer-facing role in the enterprise space, translating customer business needs into cloud centric solutions in the field of data analytics and big data.
• Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (e.g., ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.

PREFERRED QUALIFICATIONS

• Understanding of Data Analytics and the business issues in adopting Data Analytics solutions.
• Ability to collaborate across organizational boundaries, build relationships, and import and export talent and ideas to achieve a broader organizational goal.
• Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
• Excellent presentation skills, with the ability to deliver a professional business and technical pitch to the C-level and Board levels.

As a member of Team Central Provident Fund (CPF), you will play a crucial role in helping over 4 million members save for their retirement, healthcare, and housing needs as well as helping them cope with life’s uncertainties. With a fulfilling career, career growth, and development opportunities, you will be part of a big family of dedicated professionals. Join us and champion financial security for Singaporeans while leaving a lasting legacy.

What you will be working on

• Develop and implement data analytics strategies to enhance audit procedures and methodologies, incorporating emerging technologies and best practices.
• Lead initiatives to automate audit processes and workflows, leveraging data analytics and machine learning capabilities to drive efficiency and accuracy.
• Collaborate with IT teams to ensure data integrity and accessibility
• Utilise computer-assisted audit tools such as ACL or programming languages like Python, R, etc., to conduct comprehensive audits with a focus on data analysis.
• Conduct data analytics tests to support Business Audits, ensuring thorough examination of relevant datasets.
• Collaborate closely with other auditors and external stakeholders (Business and IT) to gain insights into processes and systems, and design tailored data analytics tests to meet audit objectives effectively.
• Execute continuous auditing assignments using advanced data analytics techniques, ensuring ongoing monitoring and evaluation of key audit areas.
• Take ownership of IT audit planning and execution processes, leveraging data analytics tools and methodologies to enhance audit efficiency and effectiveness.
• Engage in advisory, educational, and ad hoc projects to provide valuable insights and recommendations based on data analysis findings.
• Manage and oversee independent IT auditors, including outsourced IT auditors and AGO, ensuring alignment with audit standards and objectives.
• Conduct thorough investigations as needed, leveraging data analytics capabilities to identify potential issues or anomalies.
• Lead the annual audit planning process, collaborating with relevant stakeholders to prioritize audit areas and allocate resources effectively.
• Provide secretariat support to the Audit Committee, facilitating smooth operations and communication within the committee.

What we are looking for

• At least 4 years of relevant working experience in auditing, with a focus on data analytics or data-driven audit techniques.
• Proficiency in scripting languages such as Python, R, or similar, with experience using computer-assisted audit tools for data analysis.
• Good application of audit methodologies, standards, and regulatory requirements, including data privacy and security regulations.
• Good understanding of data structures, coding principles, and database querying languages (e.g., SQL).
• Experience or familiarity with data science, AI, and machine learning concepts and applications in audit would be advantageous.
• Ability to work independently, as well as collaborate effectively as part of a team, with strong interpersonal and communication skills.
• Analytical mindset, attention to detail, and problem-solving skills, with the ability to interpret complex data and draw meaningful insights.
• Professional certifications such as Certified Internal Auditor (CIA), Certified Information Systems Auditor (CISA), or Certified Data Analytics (CDA) would be preferred.

The successful candidate will hold the corporate title of Manager/Senior Manager, with seniority based on individual work experiences.

What you can expect

• A challenging and rewarding career
• A variety of formal and informal training to enhance your skills in the evolving technology landscape
• Promotion opportunities based on your capability and on-the-job performance
• A friendly work environment with like-minded colleagues to co-create and collaborate together
• A hybrid work model allowing remote work for up to 50% of the time, contingent upon the exigencies of service
• A productive yet growth-oriented workplace with a flexible dress code empowering you to decide your appropriate outfit for the day
• A comprehensive rewards package
• Annual leave and pro-family leave
• Medical and dental benefits
• Access to recreational activities
• Position is on 2-year full time contract directly under the payroll of CPF Board with potential for emplacement into permanent position.

The Opportunity

• Adecco is partnering with one of the most well-established and respected financial institution with a strong track record of success.
• They have a culture of innovation and continuous improvement, constantly looking for ways to improve their services and offerings.

Job Responsibilities

You report to Data Analytics team head of DEC.

Role of Data Engineer encompasses:

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.

- Visualize, interpret, and report data findings and may create dynamic data reports as well.

- Maintain existing BI solutions / ETL pipelines and propose continuous improvements

- Communicate and collaborate with architects, stakeholders, business analysts, and project managers to gather requirements and define technical solution

- Ability to design appropriate solution in compliant to CACIB standards

- Develops detailed technical work plans, estimates, improvement plans and status reports

- Perform regular peer-reviews, maintain low technical debts, assess & up-skill junior staffs

- Ensure the respect of CACIB code of conduct and compliance rules within the team

- Contribute to initiatives managed at department level (continuous improvement, innovation…)

Job Qualification

• at least a bachelor degree in computer studies
• minimum 8 years of experience in Data Engineering role with financing industry, ideally in a banking environment
• at least 5 years of development experience with using Microsoft Business Intelligence stack coveringTabular Analysis Service
  Data warehousing
  Performance tuning
  Data transformations and quality checks
  Power BI dashboarding and reporting
  
• good exposure and usage experience in CI/CD tools / processes preferably Azure DevOps
• ability to design and present technical solutions to architects and to team
• proactive and problem solving attitude with ability to anticipate risks.
• strong communication (written and verbal) and organizational skills

Preferred (additional skills preferred, but not mandatory)

- Exposure to data science technologies or other competitive data processing tools like Python, Spark, etc.

- experience on test driven development

- experience with Data Visualization tools

Next Step

Click “apply” or send resume to: Tamanna Bilandi [email protected]

EA Licence No.91C2918 | Personnel Registration No. R2096241

Role Overview
Based in the Sales Finance team, the Data Analyst will becritical to the success of a new project to improve the weekly sales reporting granularity received from the company’s partners. The ideal candidate should be methodical, analytical, able to work with large amounts of data and good at problem solving as well as troubleshooting.

Key Tasks

• Build and maintain a good professional relationship with both internal (IT, Sales, Finance) and external partners of the APAC region.
• Project manage each onboarding activity through initial assessments, agreement on delivery dates, reporting methods and file testing.
• Provide prompt feedbacks/responses to conclude a timely cadence of reporting from the Partner in production.
• Regularly track and communicate the status of your portfolio of partners to onboard.
• Work methodically to document changes in status and demonstrate the ability to forecast completion dates.
• Continuous improvement on the overall process for better efficiency.
• Data analysis where required to ensure good data integrity.
• Work effectively as a team to cross-train and share ideas to progressively improve the process and implement better efficiency.

Requirements

• Bachelor’s degree in Finance, Mathematics, Information Systems or equivalent.
• At least 1 year experience in project management, data capture/analysis and/or working with external customers/partners.
• Possess good MS Excel skills.
• Knowledge/Familiarity of reporting methods including EDI (electronic data interchange), sFTP (secured File Transfer Protocol), ASIR (Web) and API is preferable but not required.
• Proactive and determined to drive actions and results to meet deadlines.
• Excellent verbal and written communication skills.
• Detail oriented and self-motivated individual, able work independently or in a team.

Responsibilities:

• Design and Develop Data Warehouses (DW)/Data Mart (DM) architecture, continuously enhance and improve to ensure it meets technical and business requirements.
• Manage and Maintain Data Warehouses: running smoothly, monitor system performance, diagnose and troubleshoot issues, and make necessary changes to optimize DB performance.
• Data Integration and Processing: processing, cleaning, and integrating large data sets from various sources to ensure that the data is accurate, complete, and consistent.
• Data Modeling: designing and implementing data modeling solutions to ensure that the data is properly structured and organized for analysis.
• Data Analysis, Reporting and Dashboarding: responsible for analyzing, and interpreting data to support decision-making. Utilize data analytics techniques to identify trends, track KPIs, and provide insights that drive business objectives.
• Collaboration: work closely with cross-functional teams
• Any other ad-hoc duties as assigned by supervisor

Qualifications & experience:

• Diploma, Bachelor’s or Master’s degree in computer science, data science, or a related field.
• 2 - 3+ years of relevant working experience in successful DW/DM implementation including experience in database performance tuning and query optimization.
• Experience in designing, developing, managing, and maintaining of Data marts, meta-data, data warehouse architectures.
• Proficient in cloud data warehousing technologies (Azure environment), including Microsoft BI technology (SSRS, SSIS, SSAS and Power BI) • experience in ETL, SQL, and data modeling techniques.
• Strong in programming languages such as SQL, Python, or R.
• Strong analytical skills to identify patterns and insights from large and complex data sets.
• Experience in Machine Learning, AI and Statistics will be useful.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.

Interested applicants, please Email , and look for

Jensen Fang Lifa, [email protected]

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.

Responsibilities:

• Analyze marketing data to extract insights and trends.
• Optimize marketing campaigns across digital and traditional channels.
• Segment customer data for targeted campaigns.
• Create and maintain marketing performance reports.
• Ensure data accuracy and compliance with regulations.
• Conduct market research and competitor analysis.
• Collaborate with cross-functional teams.

Qualifications:

• Bachelor’s degree in Marketing, Data Science, or related field.
• Experience in data analysis and marketing analytics.
• Proficiency in analytics tools.
• Strong communication and analytical skills.
• Knowledge of digital marketing and CRM platforms.

Aurora Asia Pacific (21C0671)|Ying Kee (R21103783)

You will have the opportunity to develop data-driven innovative analytical solutions and identify opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations/decisions through activities like building restful API for data products, AI-driven engineering solutions, automated data pipelines, performing jobs in big data cluster by using different execution engines and program such as Java, Python, Spark, Hive, Impala, etc.

Job Description

• Develop, maintain, and fine-tune highly reliable and scalable back-end services and applications primarily using Java and Spring Boot.
• Know well about the Continuous Integration/Continuous Deployment(CI/CD) process and know how to leverage Jenkins and other similar tools.
• Testing frameworks and familiarity in test-driven development (TDD) practices.
• Building, deploying, and maintaining production-level data driven applications and data processing workflows or pipelines.
• Curiosity, creativity, and excitement for technology and innovation.
• Understanding of product requirements, engaging with team members and customers to define solutions, and estimating the scope of work required.

Job Qualifications

• Degree or Master in Computer Science, Applied Mathematics, Engineering or any related field.
• At least 4 years of experience, ideally within a Software Engineer, Data Engineer with Java and Python technical stack, Data Solution role.
• High proficiency in Java, Python, and SQL.
• Solid Java development experience with Spring-Boot, Jenkins, Database, Cloud Foundry, and testing framework(e.g. unit test, integration test, etc).
• Experience in the cloudnative big data framework (e.g. Hadoop, Yarn, Spark, Impala, Hive, NiFi, Airflow)
• Experience in deploying solutions in cloud environments (e.g. Cloudera, Databricks, AWS) and services (e.g. Tableau, PowerBI, Databricks SQL dashboards).
• Experience working with engineering best practices (e.g. Git, Jira, DevOps).
• Solid understanding of data modeling, data monitoring, data dashboarding, database design, and data warehousing concepts.
• Experience working in an Agile/Scrum environment.

Interested Candidates may send their resume and cover letter directly to [email protected] ,stating the position as the subject title in the email.
Hibah Bakhtavar | EA License No. 02C3423 | Personnel Registration No. R21103109

We are looking for Data Engineer to join a fast growing IT software company in Singapore!

• Salary up to $7,000 + AWS + Performance Bonus (attractive salary package & benefits)
• Permanent position with great career progression
• Be part of the fun team to involve in multiple projects

Responsibilities:

• Develop, construct, test and maintain data architectures such as databases, data warehouses and large-scale data processing systems
• Design and develop data pipelines/systems for data modelling, mining and production
• Ensure the data architecture is in place to support routine and ad-hoc requirements of data analytics team, stakeholders and the business
• Leverage on variety of programming languages and data crawling/processing tools to make raw data clean and highly available for use in descriptive and predictive modelling
• Recommend and implement ways to improve data quality, reliability, flexibility and efficiency
• Ensure data assets and data catalogs are organized and stored in an efficient way so that information is easy to access and retrieve
• PL/SQL and SQL Tuning and optimization of newly develop and existing applications

Requirements:

• 3 years' working experience in data architecture, data warehousing, data processing, data modelling, ETL/ELT and database development (Oracle SQL/PLSQL)
• Working experience in AWS cloud environment, database optimization & performance tuning
• Hands-on experience in collecting and massaging structured/unstructured/semi-structured data
• Experience in database optimization & performance tuning and Oracle Database

Interested candidates may apply via email to [email protected] (indicating Job ID J44085 for faster processing). All job applications will be processed with strict confidence and only shortlisted candidates will be contacted.

Liew Chien Hui - R2090138

ScienTec Consulting Pte Ltd - 11C5781

POSITION GENERAL DUTIES AND TASKS :
Service Delivery
Batch scheduling and monitoring
ETL Development
SQL
Demonstrable analytical skills with deep knowledge of Big Data Ecosystem in a Production Support Environment.
Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka, Kudu, Flink, Ozone, Kafka and Streaming.
Strong SQL, Python, Java and Unix shell scripting
Incident, problem, and service Outage management experience is Plus.
Strong in data engineering concepts and programming
Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Experience in supporting data transformation, data structures, metadata, dependency and workload management.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Provide operational support and ensure SLI of Applications
Troubleshoot Batch Issues & root causes to Mitigate Impacts to SLA

POSITION OVERVIEW : Datawarehouse Support Engineer (EDW)

POSITION GENERAL DUTIES AND TASKS :
The support specialist will be a techno functional support team member for the Enterprise Datawarehouse (EDW) under IT BAU team.

He/she is responsible for ensuring system availability and timely deliverables for datamarts for various business unit like Finance, regulatory, Campaign.

The support specialist, as the analyst expert within the IT team, will be the support staff who needs to closely co-ordinate and work with various team like Tech Infra, application services, solutioning, project and business units in the bank. He/she follows up to resolve issues reported by users and performs impact analysis related projects/enhancements that will impact the EDW.



Roles/Responsibilities

- Responsible to provide BAU support for Enterprise Datawarehouse

- Responsible to provide operational support and ensure SLI of system availability, batch deliverables

- Respond on time to the queries raised by various business units

- Provide timely updates regarding production status and progress of issue resolution

- Fine tune applications and systems for high performance and higher volume throughput

- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to IT standards

- Perform impact analysis of enhancements/projects that will impact supported systems

- Identify the underlying problems, analyse the root causes, provide possible solutions/fixes, and respond to users within SLA

- Support relevant software/platform/database upgrade for the systems

- Work with delivery team for smooth transition from projects/enhancements to BAU Mode

- Incident, problem, and service outage management experience

- Participate in Disaster Recovery and Business Continuity exercises

- Able to support relevant software/platform/database upgrade for the systems

- Server Performance, capacity, utilization monitoring and Health monitoring

- Collaborate with diverse cross functional teams within IT and Business to Independently drive outcomes

- At least 3+ years of relevant experience in banking/financial services industry

- Experience with Teradata FSLDM and data mapping

- Hands-on technologist, strong in SQL, UNIX and Teradata tools and technologies

- Experience in designing high throughput fault tolerant data pipelines for Batch (ETL/ELT)

- Experience in GL Data reconciliation between systems, datamarts & report and Knowledge of the ledger balance reporting is an added advantage

- Experience in Performance Tuning on Teradata or other MPP data pipeline

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka is a plus

Contract: 1 year
Location: Tuas (bus pickup at JE)
Working Hours: Mon-Fri office hour
Pay: $2200 - 2600

Job scope
• Accurately and efficiently encode all data that needs organizing and recording
• Confirm that entered data accurately aligns with original documentation
• Organize and maintain original paper evidence
• Assure files are properly prepared and saved to backup drives
• Transcribe, scan or photocopy hard copy documents and forms as needed
• Self-audit your work checking for errors or duplication
• Organize files in a logical and manageable fashion
• Adhere to and meet set schedules and deadlines
• Input, track, and maintain all encoded data and records
• Report any major errors or inconsistencies to upper management
• Maintain report logs of in-progress and/or completed work
• Perform any other office tasks that management requires assistance with (sending emails, answering phones, etc.)

Job requirement
• Min. Dip in Science
• Comfortable to travel to West
• Able to commit 1 year
• Proficient in Microsoft Excel

If interested, please email me at [email protected]
➖
Alex Goh Hock Leong
(CEI.No: R1763413 l Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599)

Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know our Team:

Grab’s Fulfilment-Dispatch Data Science team works on challenging and fascinating problems surrounding Grab’s allocation capabilities — ensuring our passengers, driver-partners, consumers and merchants enjoy a reliable fulfilment experience.

Allocation is simply this question: “Given a new booking request, which driver-partner is the best match for this booking, accounting for all other pending bookings now, and all potential bookings and driver-partner movements in the future?” Efficiently solving this problem requires working on domains and techniques such as statistical/machine/deep-learning-based prediction, optimization, simulation, graph theory, offline and online learning of contextual parameters, and geospatial data mining. We apply these techniques on our high-volume high-velocity datasets to drive optimal business outcomes.

We foster a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate. We are looking for candidates who are excited to work on challenging problems, who can apply their breadth and depth of knowledge to design innovative solutions, and who push boundaries in improving the growing suite of allocation-related services for our users.

Get to know the role:

• Design creative scalable allocation methods that adapt to changing market conditions
• Understand business needs, identify areas for investigation, translate them to technical problems to be solved
• Build, deploy and own production-grade models and services as they serve millions of requests every day
• Iterate on existing allocation features to drive continual improvement

The day-to-day activities:

• Research, analyze high-volume high-velocity data, build quick prototypes, and engineer them into production
• Design data pipelines and conduct experiments to measure the impact of your work
• Effectively communicate results and their implications to business/product stakeholders

The must haves:

• PhD or Master’s degree in Computer Science, Electrical/Computer Engineering, Industrial & Systems Engineering, Operations Research, Mathematics/Statistics, Transportation Engineering, or related technical disciplines with 3+ years of DS work at a technology company; or equivalent experience
• Strong Machine Learning fundamentals:

1. Understanding of machine learning algorithms and their ecosystem (data, model persistence, tooling, development lifecycle)
2. Experience in developing production-grade ML systems including exploratory analysis, feature engineering, developing data pipelines, observability and maintenance etc.

• Strong aptitude in statistics and large-scale data analytics:

1. Understanding of probability and statistics (e.g. hypothesis testing, modeling distributions / regressions, Bayesian statistics etc)
2. Experienced in running live experiments (A/B tests, randomized controlled trials) and analyzing their results
3. Experienced with relational databases, SQL, and distributed computing frameworks (Spark, Kafka stream processing)

• Strong software development skills:

1. Proficient in Python. Skill in Golang, Scala or Rust is an advantage.
2. Familiar with Git-based source control, code reviews, test-driven development, cloud-based development (AWS/Azure)

• Self-motivated, independent learner, and willing to share knowledge with the team
• Detail-oriented and efficient time manager in a dynamic working environment
• Able to communicate well in English both verbally and in written communication, as well as convey data insights and results with effective visualizations.

Nice to have:

• Experience in working with geospatial/mobility/logistics data
• Experience in designing probabilistic models at scale in production
• Familiar with modern data pipeline and warehousing stacks (e.g. Hive, Pinot, Airflow, Presto/Trino etc)
• Expertise in any of these specialized domains: graph theory/processing, optimization of stochastic problems, agent-based simulation, adaptive control, reinforcement learning
• Experience with designing, deploying and maintaining microservices (e.g. on Docker / Kubernetes) to serve production models is a big plus

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

24721612 SVP, Fund Solutions, Data and Product Change, Asia

Do you excel at seeing and driving the future state despite the complexity of the current state? Are you a tech savvy business leader who doesn’t settle for good enough and thrives in pushing all to be the best?

Reporting to the Asia South, Asia North & Australia Head of Funds Services this role will lead strategic transformational change supporting all five of the business lines (ETF, Fund Accounting, Middle Office, Transfer Agency and Fiduciary business) making up funds services.

The successful candidate will leverage broad functional domain knowledge, deep experience influencing product and IT architecture change, as they lead collaboration across Technology, Operations, and Business teams to articulate the comprehensive future vision of the funds end-to-end business architecture.

• Additional Job Description

Responsibilities

• Work closely with Product owners to develop and drive product roadmaps that are inclusive of business, operations and technology future change needs with a keen focus on client experience and financial performance.
• Collaborate with Business, Technology, Operations, Client Services, Finance and Risk to deliver upon future state front to back business architectures enabling optimized solutions with low process friction.
• Be the difference between the think and the execution.
• Communicate and drive the product strategy & governance principles aimed at optimizing straight-through processing and guaranteeing the timeliness, completeness, accuracy, and internal consistency of financial reporting, business processing, and overall client experience success.
• Become aware and work across business services to develop the plan and the overall model of the future breaking silos and current constructs to achieve optimal results energizing the stakeholders of the target model.
• Champion continuous improvement through a Product Innovation & Governance committee - driving adoption of industry best practices, and training to ensure that the Services business is a leader in the industry for modern and digital processes.
• Solicit business and technical specific requirements with the understanding of how those fit into the broader enterprise context bringing them to the technology teams for enablement and delivery.
• Work across Services to develop the plan and the overall model of the future breaking silos and current constructs to achieve optimal results energizing the stakeholders of the target model.
• Socialize future state vision with all other Citi partners.
• Champion the consistency to data strategy and culture in program delivery.
• Own the Fund Services portfolio of work including with our technology vendors in Asia.
• Spearhead and lead Agile initiatives and dynamically create agile squads.
• Face off with Securities Services Transformation team to ensure connectivity, driving and owning the budgets for change.
• Champion of communication across the business ensuring no duplication or overlap looking for synergies with every decision.
• Work with Risk & Control team to implement data access controls.
• Work with Legal, Risk, & Compliance partners on program policies.
• Lead efforts to establish, formalize and communicate business solutions and educate business stakeholders particularly the client teams on value and importance of proposed solutions.
• Work closely with all technical partners to align strategic technical investments to the target state business architecture or justify any deviations.

Qualifications

• Over 10 years of industry experience, ideally in a fund services business.
• Exceptional communication & presentation skills.
• Have previous experience working with C-Suite stakeholders.
• Has superior strategic, analytic and problem-solving skills, and is capable of clearly communicating a long-term vision across the company and clients.
• Natural collaborator. Partner with product management teams and product delivery executives to ensure roadmaps and implementation strategies are aligned to technology and business investments.
• Extensive experience in business process technology architecture engineering /implementations
• Experience in Securities Domains around Custody Funds Services
• Experience in driving automation, straight through processing, design learning and development of large complex change programs.
• Outcome oriented, with a successful track record of delivering business process improvement outcomes demanding cross-functional collaboration and change to enterprise information architectures.
• Self-motivated, independent, multi-tasker, willing and able to take ownership of various parts of an initiative.
• Ability to effectively deliver under time pressure, clarifying ambiguity as needed to deliver against expectations.
• Ability to coordinate and tie break in complex and siloed organizations through Influence and develop strong relationships by driving value added change.
• Deliver program level steps to get from current state to future state that can be consumed by Change and Execution management teams for delivery.
• Must be disciplined and comfortable with ambiguity, possessing the maturity and capability to interact and influence across multiple levels and a global matrixed organization.
• Ability to elevate the conversation to client’s needs and objectives, and also dig into the details and process flows.
• Flexible – demonstrated experience working effectively with multiple stake holders.
• Strong analytical skills, including numbers and situational analyses, and high attention to detail.
• Organization and project management skills, including effective cross-functional management skills.
• Able to prioritize work, and shift priorities as needed to meet aggressive deadlines and milestones.
• Team player with experience in driving large agile initiatives.
• Promotes teamwork and builds strong relationships within and across global teams driving towards a common goal for the enterprise.

Education

• Bachelor's degree/University degree or equivalent experience is a MUST. Master's degree is "Good to Have".

Key Highlights

• Exposure in the government sector
• Location: Bugis
• Working Hours: Mon- Fri (office hours)
• Salary:  Up to $4500/month - commensurate based on experience
• Duration: 11 months

Key Responsibilities

• Collaborate on internal projects aimed at streamlining learning operations and employee learning experiences.
• Identify opportunities for process re-engineering and automation. Design, develop, and implement automation solutions using tools such as UIPATH and/or SMARTIQ workflow.
• Manage data collection, centralisation, and reporting processes to ensure data accuracy, timely reporting, and informed decision-making.
• Create and maintain comprehensive documentation for all automated and data management processes.

Requirements

• Min Degree in Information technology, IT & Computer Science or equivalent
• Proficient in UiPath Studio, Tableau and/or SmartIQ
• Experienced L&OD candidate with automation background/knowledge would be advantageous

Interested candidates please click "Apply Now". We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Chok Kah Hwa

Outsourcing Team

BGC Group Pte Ltd

EA Licence Number: 05C3053

We are hiring for a SAP Data Migration Consultant to join us. The incumbent must have solid experience in using Syniti as migration tool.

Responsibilities:

• Advising with respect to data assessment processes and procedures
• To review, assess and ensure existing data load tool are sufficient
• To identify the gaps and work with the relevant parties to ensure that the tools solutions are developed prior to Data load activities.
• Manual Transformation of Data from Legacy System to SAP loadable values
• Execution of automated data loads via SAP or other automated tools
• Accountable for all the data loads into SAP system

Requirements:

• At least 8 years of experience in Data Migration works
• Proven expertise in SAP S/4HANA data migration using Syniti Data migration tool.
• Solid knowledge of data modelling, cleansing, and quality management techniques.
• Experience with implementing an S4/HANA Data migration projects

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

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Morgan McKinley Pte Ltd

Koh Boon Sien

EA Licence No: 11C5502

EA Registration No. R1110345