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 prioritizes 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.
2. 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
3. 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
4. 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
5. 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
