121 Cloud Integration jobs in Singapore

We are looking for a Cloudera Cloud Integration Engineer to design, deploy, and optimize hybrid Cloudera Data Platform (CDP/CDH) environments integrated with leading cloud platforms such as AWS, Azure, or GCP. The role focuses on data migration, automation, and performance tuning across on-prem and cloud infrastructures.

Key Responsibilities:

· Integrate and migrate Cloudera/Hadoop clusters to cloud services (AWS EMR, Azure HDInsight, GCP Dataproc).

· Configure and manage HDFS, Hive, Spark, Kafka, and YARN in hybrid environments.

· Design and implement secure data transfer, replication, and backup strategies between on-prem and cloud storage (S3, ADLS, GCS).

· Automate provisioning, scaling, and monitoring using Jenkins, Terraform, and scripting (Shell/Python).

· Ensure security, compliance, and high availability across distributed data platforms.

Required Skills:

· Strong experience in Cloudera CDP/CDH administration and cloud integration.

· Expertise in AWS/Azure/GCP (EMR, S3, IAM, VPC, networking).

· Proficiency in Linux, scripting, and CI/CD tools.

· Knowledge of Kerberos, Ranger/Sentry, and cluster monitoring tools.

Certifications Required:

· Cloudera Essentials for CDP

· AWS Fundamentals for CDP Public Cloud (Cloudera)

We are seeking a Hadoop Cloud Integration Specialist to design, implement, and manage hybrid data platforms integrating on‐premise Hadoop clusters with cloud environments (AWS, Azure, or GCP). The role focuses on data migration, automation, and performance optimization across distributed systems.
Key Responsibilities
Integrate and migrate Hadoop/Cloudera environments to cloud platforms such as AWS EMR, Azure HDInsight, or GCP Dataproc.
Configure and manage HDFS, Hive, Spark, Kafka, and YARN within hybrid or multi‐cloud setups.
Design secure data transfer, replication, and backup strategies between on‐prem and cloud storage (e.g., S3, ADLS, GCS).
Implement CI/CD pipelines for automated deployment and scaling of Hadoop services.
Ensure data security, compliance, and performance tuning across environments.
Collaborate with data engineering, DevOps, and infrastructure teams for seamless integration and operational reliability.
Required Skills
Expertise in Hadoop ecosystem administration (Cloudera/Hortonworks/CDP).
Strong knowledge of AWS EMR, S3, IAM, VPC, or equivalent cloud services.
Proficiency in Shell/Python scripting, Jenkins, Git, and Terraform.
Hands‐on with Kerberos, Ranger/Sentry, and cluster monitoring tools.
Experience with data migration, replication, and disaster recovery in hybrid platforms.
Certifications Required
Cloudera Essentials for CDP
AWS Fundamentals for CDP Public Cloud (Cloudera)
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We are seeking a Hadoop Cloud Integration Specialist to design, implement, and manage hybrid data platforms integrating on-premise Hadoop clusters with cloud environments (AWS, Azure, or GCP). The role focuses on data migration, automation, and performance optimization across distributed systems.

Key Responsibilities:

· Integrate and migrate Hadoop/Cloudera environments to cloud platforms such as AWS EMR, Azure HDInsight, or GCP Dataproc.

· Configure and manage HDFS, Hive, Spark, Kafka, and YARN within hybrid or multi-cloud setups.

· Design secure data transfer, replication, and backup strategies between on-prem and cloud storage (e.g., S3, ADLS, GCS).

· Implement CI/CD pipelines for automated deployment and scaling of Hadoop services.

· Ensure data security, compliance, and performance tuning across environments.

· Collaborate with data engineering, DevOps, and infrastructure teams for seamless integration and operational reliability.

Required Skills:

· Expertise in Hadoop ecosystem administration (Cloudera/Hortonworks/CDP).

· Strong knowledge of AWS EMR, S3, IAM, VPC, or equivalent cloud services.

· Proficiency in Shell/Python scripting, Jenkins, Git, and Terraform.

· Hands-on with Kerberos, Ranger/Sentry, and cluster monitoring tools.

· Experience with data migration, replication, and disaster recovery in hybrid platforms.

Certifications Required:

Cloudera Essentials for CDP

AWS Fundamentals for CDP Public Cloud (Cloudera)

We are looking for a Cloudera Cloud Integration Engineer to design, deploy, and optimize hybrid Cloudera Data Platform (CDP/CDH) environments integrated with leading cloud platforms such as AWS, Azure, or GCP. The role focuses on data migration, automation, and performance tuning across on-prem and cloud infrastructures.

Key Responsibilities:

· Integrate and migrate Cloudera/Hadoop clusters to cloud services (AWS EMR, Azure HDInsight, GCP Dataproc).

· Configure and manage HDFS, Hive, Spark, Kafka, and YARN in hybrid environments.

· Design and implement secure data transfer, replication, and backup strategies between on-prem and cloud storage (S3, ADLS, GCS).

· Automate provisioning, scaling, and monitoring using Jenkins, Terraform, and scripting (Shell/Python).

· Ensure security, compliance, and high availability across distributed data platforms.

Required Skills:

· Strong experience in Cloudera CDP/CDH administration and cloud integration.

· Expertise in AWS/Azure/GCP (EMR, S3, IAM, VPC, networking).

· Proficiency in Linux, scripting, and CI/CD tools.

· Knowledge of Kerberos, Ranger/Sentry, and cluster monitoring tools.

Certifications Required:

· Cloudera Essentials for CDP

· AWS Fundamentals for CDP Public Cloud (Cloudera)

We’re looking for a passionate Data Engineer to join our fast-growing AI-driven data team. You’ll design and maintain scalable data pipelines, integrate with next-gen AI platforms, and collaborate with business teams to drive data-informed decisions.

Responsibilites

• Develop and maintain scalable data pipelines leveraging Python and AWS (S3, Lambda, ECS, RDS, SNS/SQS, Vector DB).
• Build data integrations with AI platforms like AWS Bedrock, Google Gemini, and OpenAI.
• Collaborate with analytics and business stakeholders to refine data models for BI and decision-making.
• Develop and maintain engineering documentation, testing, and best practices.
• Work closely with frontend, backend, and product teams to ensure successful project delivery.

Requirements

• Proven experience in Python and AWS data services (Lambda, ECS, RDS, etc.).
• Familiarity with data modeling, ETL design, and AI integrations (Bedrock, Gemini, or OpenAI models).
• Hands-on with unit/integration testing and data pipeline optimization.
• Strong collaboration and communication skills across technical and business teams.

Lead a small development team on a government Oracle Cloud project.

• Lead and mentor a small technical team in developing Oracle PaaS solutions
• Design, code, and integrate Oracle Fusion SaaS applications with cloud and on-prem systems
• Drive development best practices and ensure code quality and performance
• Collaborate with functional, technical, and integration teams to deliver end-to-end solutions

• Strong hands-on coding skills in Oracle Fusion / Oracle Cloud Platform (PaaS)
• Experience integrating Oracle SaaS with external applications or services
• Ability to lead and guide a development team
• 6-10 years relevant experience
• Excellent communication and problem-solving skills

Key Responsibilities:

• Support tenants in architecting and deploying systems on private cloud platforms.
• Conduct technical consultations covering cloud services, DevSecOps pipelines, collaboration tools, and compliance requirements.
• Develop reference architectures, solution templates, and deployment patterns.
• Triage and resolve technical enquiries to ensure smooth onboarding.
• Maintain FAQs and technical documentation to guide tenants.
• Create and deliver training materials and hands-on sessions on onboarding, cloud services, and DevSecOps practices.
• Collaborate with team leads to maintain knowledge repositories and reusable assets.

Requirements:

• Degree in IT, Engineering, or related field.
• At least 3 years of IT experience.
• Professional-level certification in AWS, Azure, GCP, Oracle, VMware, or Nutanix.
• Strong problem-solving, communication, and organizational skills.
• Proficiency in MS Office and project tools (e.g., JIRA, Trello, MS Project).
• Detail-oriented and able to meet tight deadlines.

Work Location: North

(EA Reg No: 20C0312)

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

Only shortlisted candidates will be notified.

We are seeking an experienced Cloud Solutions professional to join our team, focusing on delivering resilient and secure Google Cloud Platform (GCP) infrastructure services.

The successful candidate will be responsible for administering and managing cloud infrastructure deployment on GCP, including provisioning and de-provisioning resources, maintaining security posture, monitoring resource utilization, configuring networks, and managing backup/restore processes.

• Collaborate closely with application stakeholders to deliver high-quality cloud infrastructure services that meet business requirements.
• Administer and manage cloud infrastructure deployment on GCP, including provisioning and de-provisioning resources.
• Troubleshoot issues effectively and implement corrective and preventive actions during and after incidents.
• Create and maintain comprehensive documentation and processes for troubleshooting, system maintenance, and configuration management.
• Develop Infrastructure-as-Code (IaC) solutions on GCP using tools such as Google Cloud Deployment Manager, Ansible, or Terraform.
• Provide training and conduct knowledge-sharing sessions for the cloud community within the organization.
• Explore, evaluate, and implement new technologies to reduce costs or enhance operational efficiencies.

A Cloud DevOps Engineer plays a crucial role in designing, building, and maintaining cloud infrastructure using infrastructure as code. Their primary responsibility is to ensure the reliability and efficiency of cloud-based systems.

The ideal candidate should have a strong understanding of security best practices in AWS and possess hands-on experience with automation tools like AWS Lambda, Step Functions, and AWS Systems Manager.

They must also be proficient in scripting languages such as Python, Bash, and PowerShell, and have experience with GCC, CI/CD, and Infrastructure as Code tools like Gitlab, Terraform, CloudFormation, and Ansible.

Additionally, a minimum of 5 years of experience in Cloud DevOps Infrastructure and cloud certification (AWS / Azure / GCP) are mandatory. Knowledge in Active Directory, Public Key Infrastructure, or Networking will be advantageous.

Key areas of expertise include IT Infrastructure Design, Kubernetes, GCC, Azure, Cloud Security, Technology Architecture, DevOps, Azure DevOps, AWS, IT infrastructure, Cloud Infrastructure, Networking, Python, Cloud-based, Cloud, Infrastructure, Ansible, and Infrastructure design.

We are looking for skilled professionals who can contribute to our organization's growth and success.

As a Cloud DevOps Engineer, you will be responsible for:

1. Designing and implementing cloud infrastructure solutions
2. Ensuring the security and compliance of cloud-based systems
3. Collaborating with cross-functional teams to achieve organizational goals

Our organization values innovation, teamwork, and professional development. We offer a dynamic work environment and opportunities for career growth.

Apply now and take your first step towards a successful career in Cloud DevOps!