Total 86 data entry job vacancies in Information Technology category in ITE-CE (College East)

As a Data Consultant at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.

Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Consultant, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.

In this role, your responsibilities may include:

• Primary responsibilities include working with IBM Consulting clients on implementing, configuring and extending the Modern Data Accelerator assets.
• Responsible for providing feedback to the Development Team on MDA extensions. This includes analysis, design testing, and feedback activities.
• Assists in MDA Demos and training activities

Required Professional and Technical Expertise :

• Knowledge of Data Architecture and Data Products
• NodeJS User Interface Experience
• Python Development Experience
• GenAI Development Experience

Preferred Professional and Technical Expertise :

• Basic understanding or experience with predictive/prescriptive modeling skills
• You thrive on teamwork and have excellent verbal and written communication skills.
• Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
• Ability to ask business and industry questions to identify appropriate modeling techniques
• Ability to communicate results to technical and non-technical audiences

As a Data Consultant at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.

Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Consultant, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.

In this role, your responsibilities may include:

• Primary responsibilities include working with IBM Consulting clients on implementing, configuring and extending the Modern Data Accelerator assets.
• Responsible for providing feedback to the Development Team on MDA extensions. This includes analysis, design testing, and feedback activities.
• Assists in MDA Demos and training activities

Required Professional and Technical Expertise :

• Knowledge of Data Architecture and Data Products
• NodeJS User Interface Experience
• Python Development Experience
• GenAI Development Experience

Preferred Professional and Technical Expertise :

• Basic understanding or experience with predictive/prescriptive modeling skills
• You thrive on teamwork and have excellent verbal and written communication skills.
• Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
• Ability to ask business and industry questions to identify appropriate modeling techniques
• Ability to communicate results to technical and non-technical audiences

Description

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.

• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.

• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.

• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.

• Monitor and optimize data workflows for performance, reliability, and scalability.

• Document data processes and ensure best practices in data engineering are followed.

• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirements

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.

• Proficiency in Elasticsearch for search and analytics applications.

• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.

• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

• Strong SQL skills and experience with relational databases.

Description

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.
• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.
• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.
• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.
• Monitor and optimize data workflows for performance, reliability, and scalability.
• Document data processes and ensure best practices in data engineering are followed.
• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirements

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.
• Proficiency in Elasticsearch for search and analytics applications.
• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Strong SQL skills and experience with relational databases.

Job Summary:

An exciting opportunity for Data Engineer to be a part of a project for strategic initiatives in architecting, designing and building next-generation cloud-based data platforms.

Mandatory Skill-set:

• Degree in Data Engineering, Computer Science, Information Technology;
• At least 5 years of experience in data engineering and modelling;
• Strong hands-on exposure in data science, data analytics and / or data engineering;
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage;
• Have experience with Big Data platforms such as Hadoop, Spark, and NoSQL databases;
• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;
• Good understanding in using cloud technologies such as AWS, Azure, and Google Cloud;
• Experience with orchestration frameworks such as Azure Data Factory, Airflow;
• Proficiency in programming languages such as Python, R, Java, or Scala;
• Familiarity with building and using CI/CD pipelines;
• Familiarity with DevOps tools such as Git, Terraform, Git;
• Strong hands-on exposure with ETL Extract, Transform, Load tools;
• Possess strong written and verbal communication abilities, effectively conveying information to various stakeholders.

Desired Skill-set:

• Experience in designing, building, and maintaining batch and real-time data pipelines;
• Experience with Databricks or Snowflake.

Responsibilities:

• Work closely with the various team in architecting, designing and building ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Involved in architecting and scaling data analytics infrastructure on cloud environment; development of systems, architectures, and platforms that can scale large volume and variety;
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Improve and optimize the workloads, processes to ensure that performance levels can support continuous accurate, reliable, and timely delivery of data products; ensure maximum database uptime;
• Monitoring of databases and ETL systems for database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence;
• Construct, test, and update useful and reusable data models based on business data needs;
• Engagement and collaboration with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools;
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures;
• Assist to maintain master data catalogue to document data assets, metadata and lineage;
• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data;
• Involved in managing production services that provide analytics capabilities to our various data users across the division.

We are seeking a talented and a motivated Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to understand data requirements, optimize data models, and ensure the reliability and performance of our data systems.

Key Responsibilities:

 Design, develop, and maintain robust data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources (e.g., Database, API, SFTP).

 Build and optimize data models and schemas to support efficient data storage, retrieval, and analysis.

 Implement data integration solutions to consolidate data from disparate systems and sources.

 Work closely with Data Scientists and Analysts to understand their requirements and provide them with clean, reliable, and well-structured data.

 Collaborate with DevOps and Infrastructure teams to deploy and manage data infrastructure in cloud environments (e.g., AWS, Azure).

 Familiar with the concept of data security to ensure the data pipelines are secured and PII (Personally Identifiable Information) data are encrypted.

 Monitor and optimize the performance, scalability, and reliability of data systems to ensure high availability and low latency.

 Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.

 Develop and maintain documentation, standards, and best practices for data engineering processes and technologies.

 Stay current with emerging technologies and trends in data engineering and contribute to the continuous improvement of our data architecture and practices.

 Explore, evaluate, and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements:

 BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.

 Proven experience (3 years) working as a Data Engineer or in a similar role.

 Strong proficiency in programming languages such as Python. Conversant with data structures and algorithm design.

 Hands-on experience with distributed computing frameworks and big data technologies such as Spark, Kafka, etc.

 Proficiency in SQL and experience with relational databases (e.g., Azure SQL DB, AWS Redshift).

 Experience with data modelling, ETL/ELT processes, and data warehousing concepts.

 Familiarity with cloud platforms and services (e.g., AWS S3, AWS Step Functions, AWS Airflow, Azure Data Logic Apps, Azure Blob Storage).

 Experience with setting up SSO using AD and implementing RBAC (Role Based Access Control) for data security.

 Excellent problem-solving skills and attention to detail.

 Effective communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

 Experience with version control systems (e.g., Git) and CI/CD pipelines is a plus.

Business Understanding At least (3) years of relevant experience in:
- Business Requirement Analysis
- Business Process and System Understanding
- Effective Communication with both business and technical users
Azure Data Engineering At least (2) years of hands-on experience as Azure Data Engineer using:
- Azure Data Factory
- Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;
Data Ingestion & Modelling At least (3) years of hands-on experience in
- Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
- Implementing Data Quality validation
- Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema.
• Knowledge of writing DAX query to create measures & dimensions.
• Python Coding Experience
Others Conversant in Microsoft Office products

JOB DESCRIPTION

This role encompasses two primary responsibilities, the first involves data science activities and the second focus on full-stack development.

Data Science Responsibilities:

• Collect, clean, and preprocess large datasets
• Develop and deploy machine learning models to address challenges related to Keppel energy systems, including predictive modeling, classification, and clustering
• Apply statistical analysis to derive actionable insights and support data-driven decision-making
• Perform data visualization to effectively communicate findings to both technical and non-technical stakeholders
• Collaborate with data science and engineering teams to identify opportunities for leveraging data in product development and operations

Full Stack Development Responsibilities:

• Design, develop, and maintain scalable web applications, ensuring seamless integration with data pipelines and models
• Build APIs and microservices to serve machine learning models and integrate with front-end interfaces
• Implement responsive front-end interfaces using modern frameworks (e.g., React) to display data insights and support interactive user experiences
• Optimize back-end services for efficiency and scalability, ensuring secure data access and real-time performance
• Troubleshoot and debug issues across the full stack (front-end, back-end, and database layers)

Such other duties and responsibilities as may be reasonably requested by your immediate supervisor / the head of department from time to time.

JOB REQUIREMENTS

• Bachelor's degree in computer science, software engineering or related field
• Strong knowledge of machine learning algorithms, statistical analysis, and data mining techniques.
• Strong understanding of back-end frameworks and technologies (e.g., Node.js, Django, Flask, Express).
• Proficiency in programming languages such as Python for data science applications.
• Proficiency in front-end technologies
• Hands-on experience with databases and cloud-based data storage solutions.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)
  

Job Description:

The role is for the position of VP – Network Data Architecture ASO TIS Job function in Singapore. The successful candidate will be part of a growing dynamic regional team that oversees IT design and development of Network Solutions In the region.

We are seeking a talented Network Architect to join our team. The Network Architect will be responsible for designing, implementing, and maintaining the network infrastructure to ensure the confidentiality, integrity, and availability of our organization's data and systems.

Roles & Responsibilities:

• Network Design and Architecture: Lead the design, planning, and implementation of scalable, high-performance data network architectures, including LAN, WAN, SD-WAN, and cloud-based network solutions.
• Data Flow Management: Ensure efficient, secure, and optimized data flows across the organization's network infrastructure, including data canters, branch offices, and cloud services.
• Technology Strategy and Roadmap: Collaborate with IT leadership to develop network strategies and roadmaps, ensuring alignment with business goals and future technology trends.
• Capacity Planning: Perform ongoing network performance monitoring and capacity planning to handle current and future data demands.
• Security Compliance: Collaborate with peer teams to ensure networks are designed and implemented with security best practices, regulatory compliance (e.g., GDPR, HIPAA), and threat mitigation in mind.
• Vendor Management: Manage vendor relationships and evaluate third-party network technologies, products, and services to support business requirements.
• Documentation and Standards: Develop and maintain documentation for network architecture, including diagrams, configuration guides, and operational procedures.
• Cross-Department Collaboration: Partner with application, cloud, and infrastructure teams to optimize overall system performance and deliver integrated solutions.
• Troubleshooting: Act as the top-level support for diagnosing, troubleshooting, and resolving complex network issues, ensuring business continuity.

Technical Capabilities

Arch, Design and Implement Network Solutions:

• Design and implement Network solutions to protect the organization's network from unauthorized access and attacks.
• Review current designs and re-design to improve quality of services and to ensure modernized, fit for purpose Network infra for employees.

Develop and Maintain Network Security Policies, Standards, and Procedures:

• Develop network data security policies that outline the organization's security objectives and requirements.
• Establish security standards and procedures for configuring and managing network security devices.

Contribute into Risk Assessments for Data / Connectivity Audits:

• Participate in regular risk assessments on core infra to identify potential security vulnerabilities and threats.
• Contribute to security audits to assess the effectiveness of existing controls and identify areas for improvement.
• Recommend security enhancements based on the findings of risk assessments and audits.

Collaborate with IT Teams:

• Work closely with IT teams to integrate requirements into network infrastructure and applications.
• Provide guidance on implementing best practices and standards.
• Collaborate with application developers and system administrators to ensure that business requirements are met.

Enhance Network Traffic Monitoring and Innovate Automations:

• Enhance network traffic monitoring to effectively detect issues
• Take appropriate actions to mitigate the impact of incidents and prevent future occurrences.
• Look for predictive analysis/solutions to improve user experience, quality and capabilities of networks.

Provide Technical Guidance and Support:

• Provide technical guidance and support to team on network best practices.
• Assist in troubleshooting network Problems and coming up with solutions to address them.
• In-depth insight and oversight onNetworking Protocols: Expertise in IP networking protocols (e.g., BGP, OSPF, MPLS, VLANs, IPsec, TCP/IP, QoS) and related technologies.
  Cloud Networking: Hands-on experience with cloud networking in platforms such as AWS, Azure, and Google Cloud, including hybrid cloud designs and integrations.
  Network Automation: Knowledge of network automation tools (e.g., Ansible, Python scripting, Terraform) to automate configuration, deployment, and management processes.
  Virtualization: Experience with network virtualization technologies such as SDN (Software-Defined Networking) and NFV (Network Function Virtualization).
  Security Technologies: Proficient in network security technologies like firewalls, VPNs, IDS/IPS, DDoS protection, and identity access management (IAM).
  Network Monitoring: Familiarity with network monitoring tools (e.g., SolarWinds, Netscout, Wireshark ) for performance and anomaly detection.
  Data Center Architecture: In-depth understanding of data center networking (e.g., spine-leaf, fabric architectures) and cloud connectivity
  

Job Requirements:

• Min 15 years of experience in networking, with at least 7+ years in an architectural or senior engineering role.
• Experience in leading the design, planning, and implementation of scalable, high-performance data network architectures, including LAN, WAN, SD-WAN, and cloud-based network solutions.
• Cisco Certified Internetwork Expert (CCIE), AWS Certified Advanced Networking, or other equivalent certifications.
• Strong understanding of enterprise-level network architectures, data center environments, and cloud integration.
• Demonstrated ability to lead cross-functional teams and communicate complex technical concepts to both technical and non-technical stakeholders.
• Proven track record of innovative problem-solving and ability to troubleshoot complex network systems.
• Experience in managing network infrastructure projects from initiation to completion, including budgeting, planning, and execution.
• Bachelor’s Degree: Degree in Computer Science, Information Technology, Network Engineering, or a related field is required.
• Master’s Degree (Preferred): An advanced degree in a relevant field is a plus, particularly in network architecture, cybersecurity, or cloud technologies.

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

Job ID: 10067214

The incumbent is responsible to design, develop and implement AR and FRDMP programs, scripts, batch jobs for AR/ FRDMP systems. He/she will work with stakeholders across various functions to deliver technology solutions to address their business needs.

Job Responsibilities

• Perform impact analysis for upstream and downstream changes that affect the systems.
• Utilize programming methodologies and languages and adhere to coding standards, procedures and technologies while contributing to the technical code documentations.
• Design, develop and deploy the programs, shell batch scripts, complex MSSQL and T-SQL scripts (packages, stored procures, functions, and triggers).
• Follow the organizational SDLC processes to deliver the project or enhancement requests, create/update the SDLC documents including functional and non-functional specifications, technical design documents, test plan, test cases, release procedures, system operational documents, user manuals etc.
• Participate in design reviews and provide input to the design recommendations; incorporate security requirements into design; and provide input to information/data flow; participate in code reviews and ensure that all solutions are aligned to pre-defined architectural specifications.
• Investigate and troubleshoot the production issues and system problems escalated by IT operation team, identify the root cause, provide workaround to rectify the issue/problem, and work out the long-term solution to fix issues/problems permanently.
• Involve in regularly maintenance activities, e.g., yearly DR drill, quarterly support for server or platform software patching, etc.
• Provide ad-hoc support for other IT service requests, e.g., data extraction, data alteration, extract system logic, answer to users’ inquiry about the data/logic in the system, etc.
• Manage, maintain, and support applications and the corresponding operating environments, focusing on stability, quality, and functionality against service level expectation.
• Evaluate the current system state, identify aspects which could be improved and recommend changes to achieve the improvement.
• Coordinate production release preparation, provide on-call support and afterhours/weekend support as needed to cover change deployment.
• Highlight or escalate risk and issues to relevant parties in a timely manner.

Job Requirements

• Masters or bachelor’s degree in Information Technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.
• Min. 2 years’ experience on MS SQL Server development (SSIS packages, stored procedures, functions, triggers).
• Familiar with Software Development Life Cycle (SDLC) process.
• Possess problem-solving ability and work well in a challenging technical environment, with capability to multi-task whilst delivering high quality solutions.
• In-depth understanding of database management systems.
• Strong communication and influencing skills.

Job Responsibilities:

• Provide Technical Support services including: Data Centre operations, equipment maintenance and service provisioning
• Manage multiple concurrent interdisciplinary projects and ability to work in a team
• Lead, manage/support and deliver the Data Center related initiatives with coordination with both external and internal stakeholders
• Collaborating with internal stakeholders to design/define and develop the SOP for Data Center services and in-house machine rooms
• Asset and Inventory management within Data Center and in-house machine rooms
• Support Data Centre/Machine rooms related audit duties, record validation and housekeeping work
• Incident handling, problem troubleshooting and escalation to upper tier
• Organize and co-ordinate Business Continuity Activities/Drill
• Maintain accurate records, document all problems, and prepare reports
• Maintain accurate IT Asset inventory/records and prepare reports
• Ad-hoc duties as assigned

Job Requirements:

• Min 10 years of experience in Data Center industry and operations
• Experience in DC Design Engineering, Project management and implementation
• Experience with professional consultant in planning and executing Engineering studies.
• Bachelor degree or in Mechanical / Electronic or Industrial Engineering or related disciplines
• Experience working with external vendors
• Customer focus with good communications and interpersonal skills
• Good communication in English speaking and writing
• Discipline, self-initiative, self-motivate

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

Job ID: 10067768

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

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

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

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

Technology Solutions Office is looking for Data Analyst

Internal Code: A24040

What will you do?

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

What are we looking for?

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

What do we offer?

• Fun working environment
• Employee Wellness Program

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

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

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

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

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

This is a 12-month contract role open for Singaporeans ONLY.

Minimum Requirements:

• CAT-1 cleared/eligible candidate is required for this role.
• Minimum of 3 years' experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Experience in providing documentation support e.g. in technical/functional specifications.
• Possess finance domain knowledge.
• Good problem solving and logical thinking.
• Good to have: Snowflake / Denodo.

UEN: 199700895N

Job Summary

A great opportunity as a Data Engineer to work in cloud based data engineering, analytics and data management team in a well established company.

Mandatory Skill-set

• Bachelor's Degree in Computer Science or equivalent;
• Minimum 5 years of experience in data engineering and data management;
• Hands on technical experience in Azure Data Factory, Databricks, Synapse, SQL Server Integration Services;
• Strong experience in Python / SAS / R along with Tableau / Power BI;
• Strong experience in gathering business requirements and translating into technical specification;
• Strong analytical skills with high curiosity to deep dive into root cause of problems and suggest solutions;
• Has good stakeholders management experience;
• Attention to technical details;
• Ability to deliver tasks on time with high quality outcome;
• Self motivated and ability to take ownership;
• Strong written and spoken communication skills.

Desired Skill-set

• Azure Data Engineer Certified;
• ITIL certified;
• Prior experience in Python, R or Machine Learning tools.

Responsibilities

• Design and develop data models, ETL pipelines, data integration process while ensuring data accuracy and quality;
• Perform data analysis of structured and unstructured data and perform business intelligence initiatives such as build user friendly reports using data visualization tools;
• Analyze ETL requirements from users and provide solutions accordingly;
• Responsible for planning and executing data profiling and data quality analysis;
• Monitor data pipelines, databases and analytical processes to ensure smooth operations;
• Identify and resolve data-related issues, performance bottleneck and data quality problems;
• Design and document data catalogs and data architectures;
• Perform regular data cleansing exercise to ensure that data is of high quality and relevant to the business needs;
• Execute data transformation, correction and aggregations to ensure compliance with business / regulatory requests;
• Build and maintain reports and dashboards using suitable data visualization tools;
• Conduct analysis on the reports and translate the findings into valuable insights to business users;
• Prepare data for prescriptive and predictive modelling;
• Perform database monitoring and performance tuning.

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

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

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

EA Licence No. 07C5639

Job Description

Responsible to monitor, analyse and troubleshoot bus & rail AFC devices by checking device logs and data

• Interpret data, analyze results using statistical techniques and provide ongoing reports

• Handle complex data sets – must be able Identify, analyse, and interpret trends or patterns in complex data sets

• Visualize the data to get insightful information.

• Identify trends to identify system degradation and to perform predictive maintenance

• Present the findings and translate the data into an understandable document

• Need to write and speak clearly, easily communicating complex ideas

• Work with management to prioritize business and information needs

• Develop strategies that optimize statistical efficiency and quality

• Locate and define new process improvement opportunities

Requirements

• Technical expertise regarding data models, database design development, data mining, clustering and segmentation techniques

• Strong knowledge of and experience with reporting packages (Cognos), databases (SQL etc), programming (Python/R and ETL frameworks)

• Prior experience in handling Python libraries: Pandas, Numpy, Scikit learn, Python Dash, Bokeh, Matplotlib

• Strong Knowledge in statistics and statistical packages for analysing datasets (Excel, SPSS, SAS, Python etc)

• Must have Visualisation knowledge and able to create dashboards in Tableau and PowerBI

• Need to have hands-on experience in Tableau server (Publishing workbook, Administration settings)

• Knowledge in java, C/C++, RTOS QNX is added advantage

• Proven working experience as a data analyst or business data analyst preferred

• Fresh graduates with relevant expertise and interest will also be considered

• Degree in Computer Science, Electrical/Electronic Engineering/Information Management or Statistics

Optimum Solutions, Singapore

(Company Registration Number: 199700895N),

Founded in 1997, Optimum is a full-spectrum IT services and solutions company whose mission is to “Empower Business with Technology.”

• 4+ years of working experience in Data Engineering, Big Data solutions, and analytics functions
• Solid background in traditional structured database environments such as Teradata / Oracle, SQL & PL/SQL
• Knowledge on Hadoop ecosystem components such as HIVE, Impala, HDFS, Spark, Scala, HBase
• Fluent in structured and unstructured data, its management, and modern data transformation methodologies
• Hands-on experience working on real-time data and streaming applications using Kafka or other similar tools
• Experience in automation process – building procedures, ETL and automated job scheduling using data integration tool such as Talend
• Knowledge on data warehouse and FSLDM concepts

This is a 12 month contract role based in Singapore

The Day-to-Day Activities
1. Generate data-driven hypotheses to solve key Product/Business problems
2. Use data to identify trends, spot anomalies and deepdive into their root causes
3. Partner closely with the broader product and engineering team to design and analyze experiments that drive key product decisions, deepdive into existing data to recommend new product ideas to solve for the most impactful customer problems
4. Design and own frontend and backend data specs for new products, while collaborating with engineering teams to ensure accurate and timely data collection, consolidate data from multiple sources to create integrated and scalable views that can be used to drive decision making
5. Provide catered analysis for specific products and operations, define critical business metrics and track them rigorously, and provide regular recommendations to achieve continuous improvements
6. Work closely with stakeholders to understand their needs/ pain points to scope up their problems and enhance internal processes through automation and improve productivity

Essential Experience / Criteria:
1. 1-2 year of experience in data analytics related roles analyzing large data sets and informing company strategy
2. Strong statistical knowledge, meticulous attitude towards data, and proficient in running experiments
3. Strong data visualization skills. Experience in creating dashboard reporting in Tableau, PowerBI or a similar visualization tool
4. Strong SQL skills and experience in scripting languages such as Python or R
5. Experience in building & maintaining data pipelines to serve data needs of different projects
6. Problem solver: ability to evaluate and design creative solutions for various tasks in a timely manner
7. Effective communicator: able to effectively communicate the analytical findings and convey clear messages

Key responsibilities:

You will be responsible for the end-to-end software development and support for all work related to projects, quarterly change requests, L3 production fixes. This includes software product implementation and administration, application design, development, implementation, testing and support. You will be expected to work on Kubernetes based platforms.

You will also be responsible for quality assurance of the team’s delivery in conformance with the Bank-defined software delivery methodology and tools. You will partner with other technology functions to help deliver required technology solutions.

Other responsibilities include:

- Create frameworks, technical features which helps in faster implementation of OpenShift Kubernetes based applications

- Carry out POCs involving new data technologies, new container platforms, sidecars, daemonsets

- Design and develop application frameworks for container integration

- Create technical documents such as solution design, program specifications for target solutions

- Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation

- Maintain and recommend software improvements to ensure a platform centric management of software applications

- Performance tuning

- Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing

- Perform tasks as part of a cross functional development team using agile or other methodologies and utilising project management software

- Independently install, customise and integrate software packages, programs, product releases

Functional skillsets

- Degree holder or equivalent relevant qualification

- Should have more than 10 years of relevant experience.

Hands-on experience in implementing large scale data warehouse & analytics platforms in financial services industry with good functional knowledge of products & services offered in Retail bank / Wholesale / Global Markets covering some of the following analytics domains:

- Experience in deploying stateless, stateful workloads on OpenShift Kubernetes based platform

- Experience in developing microservices applications using node js, React, Java, RabbitMQ, Akka framework, Apache Consul, Apache Geode, Redis

- Experience in developing frameworks using Spark, Scala, Java, Python

- Experience in working with in-memory applications

- Strong knowledge of Operating Systems

- Experience in container deployment management using either Helm Package manager or Kustomize

- Experience in integrating container applications with an external security vault such as CyberArk Conjur, AAM

- Experience in deployment automation of container applications using Jenkins, Jfrog, Gradle, Bitbucket, Groovy

- Expertise in implementing appropriate security of data (SSL, Encryption)

- Expertise in Load balancing and replication, scheduling

- Good knowledge of Custom Resources, Docker, Taints & tolerances, Node affinity, ConfigMaps

- Experience in Shell scripting, Control-M

- Expertise in design of role based fine grained access control

- Supporting application failures, planning for resiliency, Back-up Recovery

Technical skillsets

- Platforms provided by IBM Cloud Pak for Data (CP4D)

- Kubernetes based platforms such as OpenShift, AWS, Azure, GCP

- Software defined storage (ODF)

- IBM Storage Fusion

- S3 compatible storage options (Dell ECS, HCP)

- Node js, React, Java, RabbitMQ, Akka framework, Apache Consul, Apache Geode, Redis

- Scala, Java, Python

- Helm Package manager, Kustomize

- Jenkins, Jfrog, Gradle, Bitbucket, Groovy

- Shell scripting, Docker

- Splunk, Prometheus, Geneous

At least, 2 to 3 technical certifications in any of the below technologies:

1. OpenShift

2. Kubernetes, Docker

3. Language – SQL, Java, Python, Scala

4. Automation / scripting – CtrlM, Shell Scripting, Groovy

• Good understanding and completion of projects using waterfall/Agile methodology.
• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.
• Understanding of reporting or visualization tool like SAP BO and Tableau is important.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.
• Strong SQL and data modelling and data analysis skills.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage

Description

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.
• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.
• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.
• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.
• Monitor and optimize data workflows for performance, reliability, and scalability.
• Document data processes and ensure best practices in data engineering are followed.
• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirements

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.
• Proficiency in Elasticsearch for search and analytics applications.
• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Strong SQL skills and experience with relational databases.

We are seeking a highly motivated Data Engineering Intern to gain hands-on experience in building data infrastructure. You'll develop your problem-solving skills by contributing to the design and implementation of data pipelines and storage solutions. This internship offers an opportunity to learn from experienced engineers within a fast-paced environment, while contributing to the agile development cycle.

ROLES AND RESPONSIBILITIES

• Assist Data Scientists, Data Engineers, and Analysts in building and managing data products, including the SISTIC Data Warehouse/Data Lake.
• Contribute to data pipeline development by learning from experienced engineers and assisting with tasks like design, testing, and documentation.
• Learn to identify and troubleshoot issues in existing data pipelines, gaining experience for future improvements.
• Gain exposure to building data pipelines by working on smaller components or contributing to specific stages.
• Support data warehouse and database maintenance under the guidance of senior engineers.
• Learn to monitor data pipelines and identify potential issues.
• Write clean and well-documented code under the supervision of experienced engineers.
• Gain experience with data ingestion techniques like scripting, web scraping, APIs, and SQL queries.
• Participate in code review sessions to learn from best practices and improve understanding.

SKILLS AND EXPERIENCE REQUIRED

• Strong foundation in computer science or a related field (e.g., coursework, projects)
• Core engineering concepts: Demonstrate a strong desire to learn about core data engineering concepts, such as data pipelines (ETL processes) and data storage solutions (data warehouses and data lakes). Familiarity with Google Cloud Platform would be a plus.
• Strong foundation in Python and SQL: This demonstrates the intern's ability to work with data manipulation tools commonly used in data engineering.
• Interest in learning Apache Spark (PySpark): This highlights the intern's desire to explore big data processing frameworks relevant to the field.
• Big data analytics: Demonstrate a basic understanding of the Hadoop ecosystem, including concepts like distributed storage and parallel data processing.
• Understanding of data warehousing and data lake concepts.

Responsibilities:
Model Development:
● Develop and refine machine learning models to improve chatbot performance intasks such as intent classification, dialogue management, and sentiment analysis.
● Experiment with different models and algorithms to achieve optimal results.
● Collaborate with engineers to integrate models into the VICA platform.

Data Analysis:
● Conduct in-depth analysis of VICA interaction data to identify patterns, trends, and areas for improvement.
● Utilize statistical techniques and visualization tools to communicate findings effectively.
● Develop key performance indicators (KPIs) to measure chatbot effectiveness and track progress.

Natural Language Processing:
● Apply NLP techniques to understand user queries, extract relevant information, and generate appropriate responses.
● Explore cutting-edge NLP methods to enhance chatbot capabilities.

Innovation:
● Stay up-to-date with the latest advancements in machine learning, NLP, and chatbot technologies.
● Propose and implement innovative solutions to address chatbot challenges and improve user experience.

Collaboration:
● Work closely with engineers, product managers, and other stakeholders to ensure that data-driven insights are effectively integrated into the VICA platform

Qualifications:
* Min. Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).
* Proven experience in data analysis and machine learning with tools including but not limited to: Python and libraries like scikit-learn, TensorFlow, or PyTorch.
* Strong understanding of Natural Language Processing (NLP) concepts and techniques.
* Experience working with real-world, large-scale datasets.
* Excellent communication and collaboration skills.
* Ability to work independently and manage multiple projects simultaneously.
* Passion for innovation and a strong desire to contribute to Singapore's Smart Nation vision.

Job Summary

An exciting opportunity for Data Engineer to be a part of a project for strategic initiatives in architecting, designing and building next-generation cloud-based data platforms.

Mandatory Skill-set

• Degree in Data Engineering, Computer Science, Information Technology;
• At least 5 years of experience in data engineering and modelling;
• Strong hands-on exposure in data science, data analytics and / or data engineering;
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage;
• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;
• Good understanding in using cloud technologies such as AWS, Azure, and Google Cloud;
• Experience with orchestration frameworks such as Azure Data Factory, Airflow;
• Experience with distributed data technologies such as Spark, Hadoop;
• Proficiency in programming languages such as Python, R, Java, or Scala;
• Familiarity with building and using CI/CD pipelines;
• Familiarity with DevOps tools such as Git, Terraform, Git;
• Strong hands-on exposure with ETL Extract, Transform, Load tools;
• Possess strong written and verbal communication abilities, effectively conveying information to various stakeholders.

Desired Skill-set

• Experience in designing, building, and maintaining batch and real-time data pipelines;
• Experience with Databricks or Snowflake.

Responsibilities

• Work closely with the various team in architecting, designing and building ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Involved in architecting and scaling data analytics infrastructure on cloud environment; development of systems, architectures, and platforms that can scale large volume and variety;
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Improve and optimize the workloads, processes to ensure that performance levels can support continuous accurate, reliable, and timely delivery of data products; ensure maximum database uptime;
• Monitoring of databases and ETL systems for database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence;
• Construct, test, and update useful and reusable data models based on business data needs;
• Engagement and collaboration with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools;
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures;
• Assist to maintain master data catalogue to document data assets, metadata and lineage;
• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data;
• Involved in managing production services that provide analytics capabilities to our various data users across the division.

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

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

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

EA Licence No. 07C5639

The Day-to-Day Activities
1. Generate data-driven hypotheses to solve key Product/Business problems
2. Use data to identify trends, spot anomalies and deepdive into their root causes
3. Partner closely with the broader product and engineering team to design and analyze experiments that drive key product decisions, deepdive into existing data to recommend new product ideas to solve for the most impactful customer problems
4. Design and own frontend and backend data specs for new products, while collaborating with engineering teams to ensure accurate and timely data collection, consolidate data from multiple sources to create integrated and scalable views that can be used to drive decision making
5. Provide catered analysis for specific products and operations, define critical business metrics and track them rigorously, and provide regular recommendations to achieve continuous improvements
6. Work closely with stakeholders to understand their needs/ pain points to scope up their problems and enhance internal processes through automation and improve productivity

Essential Experience / Criteria:
1. 1-2 year of experience in data analytics related roles analyzing large data sets and informing company strategy
2. Strong statistical knowledge, meticulous attitude towards data, and proficient in running experiments
3. Strong data visualization skills. Experience in creating dashboard reporting in Tableau, PowerBI or a similar visualization tool
4. Strong SQL skills and experience in scripting languages such as Python or R
5. Experience in building & maintaining data pipelines to serve data needs of different projects
6. Problem solver: ability to evaluate and design creative solutions for various tasks in a timely manner
7. Effective communicator: able to effectively communicate the analytical findings and convey clear messages

Job Description:

The role is for the position of VP – Network Data Architecture ASO TIS Job function in Singapore. The successful candidate will be part of a growing dynamic regional team that oversees IT design and development of Network Solutions In the region.

We are seeking a talented Network Architect to join our team. The Network Architect will be responsible for designing, implementing, and maintaining the network infrastructure to ensure the confidentiality, integrity, and availability of our organization's data and systems.

Roles & Responsibilities:

• Network Design and Architecture: Lead the design, planning, and implementation of scalable, high-performance data network architectures, including LAN, WAN, SD-WAN, and cloud-based network solutions.
• Data Flow Management: Ensure efficient, secure, and optimized data flows across the organization's network infrastructure, including data canters, branch offices, and cloud services.
• Technology Strategy and Roadmap: Collaborate with IT leadership to develop network strategies and roadmaps, ensuring alignment with business goals and future technology trends.
• Capacity Planning: Perform ongoing network performance monitoring and capacity planning to handle current and future data demands.
• Security Compliance: Collaborate with peer teams to ensure networks are designed and implemented with security best practices, regulatory compliance (e.g., GDPR, HIPAA), and threat mitigation in mind.
• Vendor Management: Manage vendor relationships and evaluate third-party network technologies, products, and services to support business requirements.
• Documentation and Standards: Develop and maintain documentation for network architecture, including diagrams, configuration guides, and operational procedures.
• Cross-Department Collaboration: Partner with application, cloud, and infrastructure teams to optimize overall system performance and deliver integrated solutions.
• Troubleshooting: Act as the top-level support for diagnosing, troubleshooting, and resolving complex network issues, ensuring business continuity.

Technical Capabilities

Arch, Design and Implement Network Solutions:

• Design and implement Network solutions to protect the organization's network from unauthorized access and attacks.
• Review current designs and re-design to improve quality of services and to ensure modernized, fit for purpose Network infra for employees.

Develop and Maintain Network Security Policies, Standards, and Procedures:

• Develop network data security policies that outline the organization's security objectives and requirements.
• Establish security standards and procedures for configuring and managing network security devices.

Contribute into Risk Assessments for Data / Connectivity Audits:

• Participate in regular risk assessments on core infra to identify potential security vulnerabilities and threats.
• Contribute to security audits to assess the effectiveness of existing controls and identify areas for improvement.
• Recommend security enhancements based on the findings of risk assessments and audits.

Collaborate with IT Teams:

• Work closely with IT teams to integrate requirements into network infrastructure and applications.
• Provide guidance on implementing best practices and standards.
• Collaborate with application developers and system administrators to ensure that business requirements are met.

Enhance Network Traffic Monitoring and Innovate Automations:

• Enhance network traffic monitoring to effectively detect issues
• Take appropriate actions to mitigate the impact of incidents and prevent future occurrences.
• Look for predictive analysis/solutions to improve user experience, quality and capabilities of networks.

Provide Technical Guidance and Support:

• Provide technical guidance and support to team on network best practices.
• Assist in troubleshooting network Problems and coming up with solutions to address them.
• In-depth insight and oversight onNetworking Protocols: Expertise in IP networking protocols (e.g., BGP, OSPF, MPLS, VLANs, IPsec, TCP/IP, QoS) and related technologies.
  Cloud Networking: Hands-on experience with cloud networking in platforms such as AWS, Azure, and Google Cloud, including hybrid cloud designs and integrations.
  Network Automation: Knowledge of network automation tools (e.g., Ansible, Python scripting, Terraform) to automate configuration, deployment, and management processes.
  Virtualization: Experience with network virtualization technologies such as SDN (Software-Defined Networking) and NFV (Network Function Virtualization).
  Security Technologies: Proficient in network security technologies like firewalls, VPNs, IDS/IPS, DDoS protection, and identity access management (IAM).
  Network Monitoring: Familiarity with network monitoring tools (e.g., SolarWinds, Netscout, Wireshark ) for performance and anomaly detection.
  Data Center Architecture: In-depth understanding of data center networking (e.g., spine-leaf, fabric architectures) and cloud connectivity
  

Job Requirements:

• Min 15 years of experience in networking, with at least 7+ years in an architectural or senior engineering role.
• Experience in leading the design, planning, and implementation of scalable, high-performance data network architectures, including LAN, WAN, SD-WAN, and cloud-based network solutions.
• Cisco Certified Internetwork Expert (CCIE), AWS Certified Advanced Networking, or other equivalent certifications.
• Strong understanding of enterprise-level network architectures, data center environments, and cloud integration.
• Demonstrated ability to lead cross-functional teams and communicate complex technical concepts to both technical and non-technical stakeholders.
• Proven track record of innovative problem-solving and ability to troubleshoot complex network systems.
• Experience in managing network infrastructure projects from initiation to completion, including budgeting, planning, and execution.
• Bachelor’s Degree: Degree in Computer Science, Information Technology, Network Engineering, or a related field is required.
• Master’s Degree (Preferred): An advanced degree in a relevant field is a plus, particularly in network architecture, cybersecurity, or cloud technologies.

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

Job ID: 10067214