AWS Data Engineer: Build Scalable Lakehouse Pipelines in Singapore

Rapsys Technologies Pte Ltd.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Rapsys Technologies Pte Ltd. in Singapore is hiring an AWS Data Engineer to design, build and optimize data pipelines on AWS.

The role focuses on data lakehouse architectures, ETL/ELT processes, data quality, governance and secure access across S3, Glue, Lake Formation and Redshift.

Candidates should have 6+ years of experience, strong Python, PySpark and SQL skills, and a track record turning raw data into actionable business insights.

Qualifications

• 6+ years of experience in data engineering on AWS.
• Experience building data pipelines and data lakehouse architectures.
• Proficient in Python, PySpark and SQL with Databricks and Apache Spark.
• Strong knowledge of ETL/ELT, CDC, data modeling and query optimization.
• Data quality, schema validation and automated testing.
• Workflow orchestration, Git, CI/CD and Terraform.
• Pipeline monitoring, troubleshooting, alerting and recovery.
• AWS security: IAM, KMS, encryption and access management.

Skills

Python

PySpark

SQL

Databricks

Apache Spark

Data Lakehouse

ETL/ELT

CDC

Data Modeling

Query Optimization

Data Quality

Tools

S3

Glue

Lake Formation

IAM

KMS

Lambda

Redshift

Kinesis

MSK

Terraform

Git

CI/CD

Job description

Rapsys Technologies Pte Ltd. in Singapore is hiring an AWS Data Engineer to design, build and optimize data pipelines on AWS.

The role focuses on data lakehouse architectures, ETL/ELT processes, data quality, governance and secure access across S3, Glue, Lake Formation and Redshift.

Candidates should have 6+ years of experience, strong Python, PySpark and SQL skills, and a track record turning raw data into actionable business insights.