Cloud Data Engineer/AWS Migration Lead

KYNDRYL (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A global IT services provider is seeking a Cloud Data Engineer/AWS Migration Lead in Singapore. The role involves leading the migration of data infrastructure to AWS, creating documentation, and developing training materials. The ideal candidate will have extensive experience with AWS services, proficiency in Python, and a strong background in data visualization tools like Tableau. Competitive benefits and opportunities for professional growth are offered.

Benefits

Learning opportunities

Certification programs

Qualifications

• Extensive experience with AWS services such as SageMaker, QuickSight, and Lambda.
• Proficiency in Python programming and serverless architecture design.
• Strong background in Tableau and data visualization.

Responsibilities

• Lead migration of on-premises data to AWS Data Analytics Platform.
• Create comprehensive documentation for AWS processes.
• Develop training materials for end users.

Skills

AWS Services

Infrastructure-as-Code

Programming and Automation Skills

Data Visualisation and Analytics

DevOps and Collaboration

Job description

Kyndryl is looking for experienced Cloud Data Engineer/AWS Migration Lead in Singapore.

Key Responsibilities

1. Migration & Technical Implementation:

• Lead migration of on-premises and SharePoint-based data infrastructure to AWS Data Analytics Platform (DAP)
• Collaborate with AWS teams to develop comprehensive migration strategies and implementation plans
• Re-architect existing Python scripts and UiPath automation workflows for AWS SageMaker or Glue scripts
• Design and implement robust data pipelines and ETL processes within AWS environment
• Migrate Tableau dashboards to AWS QuickSight whilst maintaining full functionality
• Establish data connections from multiple sources (HRPS, Gateway, SharePoint, Microsoft Lists, FormSG, MS Access)
• Ensure seamless transition with zero disruption to existing data operations

2. Documentation & Knowledge Transfer:

• Create comprehensive documentation for all new AWS processes and workflows
• Develop training materials and conduct knowledge transfer sessions for end users
• Support HR officers in accessing and utilising dashboards in the new AWS environment
• Conduct thorough testing and validation of migrated systems

Your Future at Kyndryl

Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands‑on experience, learning opportunities, and certification programs. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Who you are

You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritises customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

Required Skills

1. AWS Services

• Extensive experience with AWS services (SageMaker, QuickSight, Athena, Lambda, data pipelines).
• Experience using AWS services in Python and Command Line Interface
• Proficiency in serverless architecture design and Lambda function development.

Infrastructure as Code (IaaC)

• Experience in Infrastructure-as-Code (eg. CloudFormation, YAML, JSON infrastructure scripts)
• Lambda function provisioning and management through IaaC templates
• Integration of serverless components with traditional infrastructure resources

Programming and Automation Skills

• Proficiency in Python programming and UiPath automation
• Experience developing and deploying Lambda functions for data processing and automation
• Understanding of event‑driven architecture and serverless computing patterns

Data Visualisation and Analytics

• Strong background in Tableau and QuickSight dashboard development
• Experience with ETL processes and data pipeline design
• Knowledge of serverless data processing workflows using Lambda

DevOps and Collaboration

• Experience working with DevOps stack (eg. Ship‑hats, GitLab, Nexus Repo etc)
• Understanding of CI/CD pipelines for both application code and infrastructure deployment
• Experience with infrastructure change management including security groups and network ACLs