Senior Data Engineer: Build Scalable Pipelines & Insights

RAPSYS TECHNOLOGIES PTE LTD; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

RAPSYS TECHNOLOGIES PTE LTD in Singapore seeks an experienced Data Engineer to design, build and maintain scalable data pipelines for insights and innovation. You will work across data architecture, integration, and analytics, collaborating with stakeholders to meet business needs.

The ideal candidate has 8+ years in data platforms, strong Python/SQL skills, and hands-on experience with batch and real-time processing, cloud data services, and BI dashboards.

Qualifications

• Bachelor's degree or higher in a related field.
• 8+ years of experience in data platform and analytics projects.
• Proven data engineering experience with batch and real-time processing.
• Strong programming skills in Python and SQL.

Responsibilities

• Design, build and maintain scalable data pipelines for analytics.
• Implement data validation and cleansing to improve quality.
• Troubleshoot operational issues in data pipelines and databases.
• Develop dashboards and reports to visualize key metrics.
• Collaborate with stakeholders to gather data requirements and insights.
• Apply machine learning techniques under guidance to support use cases.
• Stay updated on data engineering trends and tools to drive improvement.

Skills

Data engineering

Python

SQL

Data modeling

Problem solving

Communication

Education

Bachelor's degree in Computer Science / Data Science / Statistics

Tools

Informatica

Airflow

Azure Data Factory

Databricks

Snowflake

Job description

RAPSYS TECHNOLOGIES PTE LTD in Singapore seeks an experienced Data Engineer to design, build and maintain scalable data pipelines for insights and innovation. You will work across data architecture, integration, and analytics, collaborating with stakeholders to meet business needs.

The ideal candidate has 8+ years in data platforms, strong Python/SQL skills, and hands-on experience with batch and real-time processing, cloud data services, and BI dashboards.