Senior AWS Data Engineer - AI & Analytics

Ernst & Young Advisory Services Sdn Bhd; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A global professional services firm in Singapore is seeking an experienced AWS Data Engineer to design, build, and maintain scalable data pipelines. This role will require strong proficiency with AWS services such as S3, Glue, and Redshift, alongside skills in SQL and Python. Candidates should possess a Bachelor's degree in computer science or a related field, coupled with a minimum of 3 years' experience in data engineering. The company promotes a diverse and inclusive culture with continuous learning opportunities.

Benefits

Competitive remuneration

Continuous learning opportunities

Flexible working arrangements

Qualifications

• Minimally 3 years' experience in data engineering (AWS).
• Strong experience with AWS data services (S3, Glue, Athena, Redshift).
• Experience building and maintaining production data pipelines.

Responsibilities

• Design and develop end-to-end data pipelines (batch and near-real-time).
• Ensure data quality, reliability, and scalability of pipelines.
• Work closely with Data Analysts to deliver analytics-ready datasets.

Skills

Data engineering

AWS services (S3, Glue, Athena, Redshift)

SQL

Python

Data modeling

Education

Bachelor's degree in computer science or related field

Tools

Kinesis

Kafka

Airflow

Terraform

Tableau

Job description

A global professional services firm in Singapore is seeking an experienced AWS Data Engineer to design, build, and maintain scalable data pipelines. This role will require strong proficiency with AWS services such as S3, Glue, and Redshift, alongside skills in SQL and Python. Candidates should possess a Bachelor's degree in computer science or a related field, coupled with a minimum of 3 years' experience in data engineering. The company promotes a diverse and inclusive culture with continuous learning opportunities.