AWS Data Engineer — Build Scalable Pipelines on AWS

re-zoo-me; Singapore; Hybrid; SGD 80,000 - 120,000; Full time

Job summary

re-zoo-me in Singapore is seeking an AWS Data Engineer to design, build, and maintain scalable data pipelines on AWS. The role requires hands-on experience with cloud-based data engineering and collaboration with cross-functional teams.

You will implement ETL processes using AWS services such as Glue, Redshift, S3, and Lambda, ensuring data quality and integrity across large datasets while maintaining security best practices. Strong SQL and Python/Scala skills are essential.

Qualifications

• Minimum 3 years of experience as a Data Engineer with AWS.
• Strong SQL and Python or Scala programming skills.
• Experience with big data tools like Spark or Hadoop is a plus.
• Solid understanding of ETL design patterns and best practices.

Responsibilities

• Design, develop, and optimize scalable data pipelines on AWS.
• Implement ETL processes using AWS services such as Glue, Redshift, S3, and Lambda.
• Ensure data quality and integrity across large datasets.
• Collaborate with analytics and business teams to deliver actionable insights.
• Maintain security best practices for sensitive information.
• Monitor pipeline performance and troubleshoot issues proactively.

Skills

SQL

Python

Scala

AWS

ETL

Tools

Spark

Hadoop

Job description

re-zoo-me in Singapore is seeking an AWS Data Engineer to design, build, and maintain scalable data pipelines on AWS. The role requires hands-on experience with cloud-based data engineering and collaboration with cross-functional teams.

You will implement ETL processes using AWS services such as Glue, Redshift, S3, and Lambda, ensuring data quality and integrity across large datasets while maintaining security best practices. Strong SQL and Python/Scala skills are essential.