Cloud Data Engineer — Build Scalable Data Pipelines

UNAVAILABLE; Singapore; Hybrid; SGD 80,000 - 110,000; Full time

Job summary

A leading digital solutions provider in Singapore is looking for a Data Engineer to enhance their cloud-based data capabilities. The ideal candidate will design scalable data pipelines and work closely with cross-functional teams. Applicants should have 5-6 years of experience in data engineering, strong skills in Python and SQL, and a solid understanding of data modeling and ETL processes. The role offers opportunities for professional development and flexible work arrangements.

Benefits

Flexible work environment

Professional development programs

Global opportunities for collaboration

Health and well-being programs

Qualifications

• 5-6 years of experience in data engineering or a related field.
• Experience working with large datasets in databases like Greenplum, Hadoop, or MongoDB.
• Proficient in building data pipelines and data warehousing solutions.

Responsibilities

• Design, build, and maintain data pipelines for batch and real-time processing.
• Collaborate with stakeholders to translate business requirements into data solutions.
• Implement data governance, quality, privacy, and management standards.

Skills

Python

SQL

ETL

Data Modeling

Analytical Skills

Problem-Solving

Education

Bachelor’s degree in Software Engineering or equivalent

Tools

AWS

Hadoop

Tableau

Spark

Job description

A leading digital solutions provider in Singapore is looking for a Data Engineer to enhance their cloud-based data capabilities. The ideal candidate will design scalable data pipelines and work closely with cross-functional teams. Applicants should have 5-6 years of experience in data engineering, strong skills in Python and SQL, and a solid understanding of data modeling and ETL processes. The role offers opportunities for professional development and flexible work arrangements.