Data Engineer

UNIZEN TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

UNIZEN TECHNOLOGIES PTE. LTD. in Singapore is seeking an experienced Data Engineer to design and maintain scalable data pipelines, data marts, and OLAP models.

You will work with SQL (PostgreSQL), Python (Pandas/PySpark), and API-based ingestion to feed analytics platforms. The role involves orchestrating ETL with Airflow or Step Functions, leveraging AWS services (Glue, S3, RDS, Athena, Lambda), and ensuring data governance, RBAC, and encryption.

Qualifications

• Bachelor's in Computer Science, Data Engineering, or related field.
• 4+ years of experience in data engineering & pipeline development.
• Strong expertise in SQL (PostgreSQL) and Python (Pandas / PySpark).
• Hands-on experience with Kafka, AWS (Glue, S3, RDS, Athena, Lambda), and ETL orchestration tools (Airflow / Step Functions).
• Proficiency in building data marts and OLAP models.
• Experience with API-based ingestion and microservice data flows.
• Understanding of data governance, RBAC, and encryption.
• Familiarity with Docker and GitHub CI/CD

Skills

SQL (PostgreSQL)

Python (Pandas / PySpark)

Kafka

ETL orchestration

APIs ingestion

Data governance & RBAC

Encryption

Docker

GitHub CI/CD

OLAP / data marts

Education

Bachelor's in Computer Science / Data Engineering or related field

Tools

Airflow

Step Functions

Docker

GitHub CI/CD

AWS (Glue, S3, RDS, Athena, Lambda)

PostgreSQL

Job description

What We're Looking For

• Bachelor's in Computer Science, Data Engineering, or related field.
• 4+ years of experience in data engineering & pipeline development.
• Strong expertise in SQL (PostgreSQL) and Python (Pandas / PySpark).
• Hands-on experience with Kafka, AWS (Glue, S3, RDS, Athena, Lambda), and ETL orchestration tools (Airflow / Step Functions).
• Proficiency in building data marts and OLAP models.
• Experience with API-based ingestion and microservice data flows.
• Understanding of data governance, RBAC, and encryption.
• Familiarity with Docker and GitHub CI/CD