AWS Data Engineer
Summary
Design and build scalable AWS data platforms, including data lakes and ETL/ELT pipelines using AWS Glue, Redshift, and Kinesis for batch and streaming workloads.
Are you an experienced AWS Data Engineer looking to work on large-scale cloud data platforms and digital transformation projects? We're hiring passionate professionals to join our team in Singapore!
Start Date: ASAP (Subject to Security Clearance)
Salary: Up to SGD 9,500/month (All-Inclusive, based on experience)
Design and build scalable AWS Data Lake & Lakehouse solutions
Develop ETL/ELT pipelines using AWS Glue, Lambda, Step Functions & EventBridge
Build batch and streaming data processing solutions with Amazon Redshift & Kinesis
Implement data governance, security, and metadata management using Lake Formation & IAM
Optimize data platform performance, monitoring, and cost efficiency
Support data quality, documentation, and operational excellence
3-5+ years of Data Engineering experience
Strong hands-on experience with:
- AWS Glue
- Amazon S3
- Amazon Redshift
- AWS Lambda
- Amazon Kinesis
- AWS Step Functions
- Amazon EventBridge
- AWS Lake Formation
- AWS AppFlow
- IAM & Secrets Manager
Strong SQL and Python (or Scala) programming skills
Knowledge of batch & streaming data pipelines
Understanding of data governance and metadata management
AWS Certified Data Engineer Associate or AWS Solutions Architect
Experience in Singapore Government or Public Sector projects is an advantage