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

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

6. Technical writing and documentation skills

7. Training delivery and user support capabilities

8. At least 7 years of professional experiences