Jobs at Ibm in Singapore, Singapore

Build, test, and maintain the data pipelines required for effective data ingestion and integration into the AWS datalake.

Key Responsibilities:

• Develop and deploy data ingestion processes for structured and unstructured data.
• Implement best practices for data quality and error handling.
• Work with the Data Architect to optimize performance and scalability.
• Ensure compliance with governance and security protocols.

• 5-8 years of hands-on experience in data engineering.
• Proficiency in AWS data services (AWS Glue, AWS S3, and optionally AWS Lake Formation).
• Strong programming skills in languages such as Python or Java.
• Experience in ETL/ELT processes and data quality assurance.

Software Experience:

• AWS Glue, AWS S3
• Familiarity with AWS Lake Formation is a plus
• Knowledge of data engineering from an analytics, ML, data science use case and data need fulfillment is necessary.
• Experience is building reusable templates and assets on AWS is essential.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world.​ Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology

• Establish and implement best practices for DBT workflows , ensuring efficiency, reliability, and maintainability.
• Collaborate with data analysts, engineers, and business teams to align data transformations with business needs.
• Monitor and troubleshoot data pipelines to ensure accuracy and performance.
• Work with Azure-based cloud technologies to support data storage, transformation, and processing

• Strong MS SQL, Azure Databricks experience
• Implement and manage data models in DBT, data transformation and alignment with business requirements.
• Ingest raw, unstructured data into structured datasets to cloud object store.
• Utilize DBT to convert raw, unstructured data into structured datasets, enabling efficient analysis and reporting.
• Write and optimize SQL queries within DBT to enhance data transformation processes and improve overall performance

• Establish best DBT processes to improve performance, scalability, and reliability.
• Design, develop, and maintain scalable data models and transformations using DBT in conjunction with Databricks
• Proven interpersonal skills while contributing to team effort by accomplishing related results as required

• Deploy, configure, and monitor EDR systems across all endpoints to ensure optimum performance and security.
• Monitor EDR systems for suspicious activity, analyze security issues, and respond appropriately to mitigate threats.
• Regularly update and optimize EDR setups and policies to improve detection capabilities and eliminate false positives.
• Collaborate with IT and security teams to integrate EDR solutions with other security tools and systems, such as SIEM (Security Information and Event Management) platforms, to improve overall security operations.
• Maintain documentation on EDR configurations and processes.
• Ensure that endpoint security rules are enforced and kept up to date and are compliant according organizational and security standards.

• Experience administering and operating EDR platforms (such as CrowdStrike, Carbon Black, Symantec, Microsoft Defender ATP).
• Strong understanding of cybersecurity fundamentals, such as threat detection, malware analysis, and incident response.
• Experience with scripting languages (such as PowerShell and Python) for automation.
• Familiarity with network security, endpoint protection solutions, and IT infrastructure.
• Understanding of operating systems (Windows, Linux, and macOS) and their associated security protocols.

3-5 years in cybersecurity, IT operations, or a related function with an emphasis on endpoint security.

Design the AWS datalake architecture and develop a robust integration framework that supports efficient data ingestion and processing.

Key Responsibilities:

• Architect scalable AWS datalake solutions to meet technical and business needs.
• Design data integration pipelines for diverse data sources.
• Collaborate with technical teams to ensure secure, compliant data flows.
• Document the overall data architecture supporting catalog, quality, and lineage initiatives.

• Extensive experience with AWS services, particularly AWS Lake Formation, AWS Glue, and AWS S3.
• 8-10+ years in data architecture or similar roles.
• Proficiency in designing and integrating cloud-based data solutions.
• Understanding of data security and compliance standards, especially for public sector projects.

Your primary responsibilities will include:

Technology Expertise:Leveraging broad and deep technology expertise to provide highly contextual insights into the benefits of emerging technology adoption.

• Client Market/Industry Expertise : Experience in one or more client market/industry segments, with a track record of winning through collaboration, resilience, empathy, and innovation. A natural at inspiring and motivating others to succeed in highly complex, enterprise-scale, technically complex sales environments.

• Technical Expertise : Technical knowledge around cloud, data & AI, automation, security, and storage technologies, in addition to deep industry knowledge and contemporary methods for co-creating client solutions, with and through others.

• Communication and Influencing : Palpable people, communication, and collaboration skills, with a proven record networking and influencing throughout the successful closure of complex technology sales cycles (including $multi-million deals).

Software Experience:

• Experience in implementing Data Governance Framework in large, complex organizations.

• Familiarity with data governance industry frameworks and variations for cloud data management and governance.
• Working experience in public sectors is a plus.
• Understanding of organizational change management and DataOps in relationship with data governance.
• Deep understanding of the design principles of one or many commercial data governance toolsets such as Collibra, Alation, Atlan, Talend including their intended usage and limitations.
• Familiarity with IBM CloudPak for Data and associated IBM Data Governance toolkit is a plus.

Overview: Implement data governance framework, ensuring policies, procedures, and practices meet both business and regulatory requirements. Guide engineers and technical team with the right inputs needed to achieve a functional data governance process. Ability to identify process limitations and proactively recommending solution measures and best practices to prevent such issues from occurring in a production situation.

Key Responsibilities:

• Define and implement the data governance strategy and roadmap.
• Collaborate with stakeholders to ensure adherence to governance standards.
• Oversee integration of data catalog, quality, and lineage tools.
• Ensure compliance with public sector regulations and security standards (including minimum category 2 clearance).

• 10+ years in data governance, with a proven track record in large-scale projects.

• Deep expertise in data governance tools (e.g., Collibra, Alation, Atlan, Talend).
• Experience working in regulated environments, preferably within the public sector.
• Prior exposure to IBM CloudPak for Data is advantageous.

Developing trusting relationships, you'll work with clients to shape the future of their technology landscape.

As we help you combine your technical education with consultative sales best practices, you will accelerate enterprises' success by providing award winning solutions across Cloud, Data & AI, Security and Automation.

Your primary responsibilities will include:

• Solution-Selling
• Client Management : Help a CSM to manage a dedicated client set and define, confirm and communicate the differentiated value of IBM's technology at both the technical and business level.
• Sales Process Management : Help a CSM manage the entire sales process and ensure delivery against KPIs, with a strong emphasis on new business sales, while expanding existing accounts.
• Collaboration with IBM Ecosystem : Collaborate with the broader IBM sales ecosystem, from Marketing to Sales and technical colleagues, to IBM Business Partners, in order to build sales campaigns and incremental pipeline.

• Technical Education : Enrolled and in the final year of a technical degree such as Computer Science, Engineering, Information Systems, or a related field.
• Communication Skills : Possess excellent communication and presentation skills that are engaging, compelling and influential.

Additional requirements:

• Singaporean Citizen / Permanent Resident
• Be available to work full-time hours (or close to), Monday to Friday, with up to 3 days in our Singaporean Office.
• Have no more than two years full-time work experience

• It is mandatory that all applicants are currently enrolled in studies at a Singaporean University during the entire internship.
• Candidates must be at their final year of University (Ideally to graduate Q1 2026)

• Software Sales Experience : 1 – 2 years of experience in software sales with a proven track record of contributing to the resolution of client's issues.
• IT Use Cases : Hands-on exposure to the practical application of computer science, information systems, or engineering concepts.