The Data Engineer will lead the migration of data infrastructure to AWS, design ETL processes, and migrate dashboards while ensuring documentation and user training.
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.
Top Skills
Athena
AWS
CloudFormation
JSON
Lambda
Python
Quicksight
Sagemaker
Tableau
Uipath
Yaml
Unison Consulting Singapore Office
1 Changi Business Park Crescent, , Plaza 8 #03-06 Tower A, Singapore, , Singapore, 486025
Unison Consulting Singapore Office
#12-00, 63 Market Street, Bank of Singapore Center, Singapore, , Singapore, 048942
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