AWS Data Engineer
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Summary
An AWS Data Engineer in Singapore (work from office) who designs, builds, and maintains scalable ETL data pipelines on AWS using services like Glue, Redshift, S3, and Lambda, ensuring data quality and collaborating with analytics and business teams.
We're Hiring: AWS Data Engineer!
We are looking for a skilled AWS Data Engineer to join our dynamic team and help design, build, and maintain robust data pipelines on AWS. The ideal candidate will have hands‑on experience in cloud‑based data engineering, a passion for solving complex data challenges, and the ability to collaborate effectively with cross-functional teams.
Location: Singapore, Singapore
Work Mode: Work from Office
Role: AWS Data Engineer
What You'll Do:
- 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
What We're Looking For:
- Minimum 3 years of experience as a Data Engineer working with AWS technologies
- Strong proficiency in SQL and Python or Scala programming languages
- Experience with big data tools (e.g., Spark, Hadoop) is a plus
- Solid understanding of ETL design patterns and best practices
- Excellent problem‑solving skills and attention to detail
- Strong communication skills for effective teamwork