Senior Data Engineer

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

Job summary

RAPSYS TECHNOLOGIES PTE LTD in Singapore is seeking a Senior Data Engineer to design, build and maintain scalable data pipelines and infrastructure for analytics. You will collaborate with engineers, data scientists and analysts to deliver reliable data solutions supporting business decisions.

Responsibilities include evolving data architectures, promoting CI/CD and automated testing, and mentoring teammates to raise data engineering standards.

Qualifications

• 5+ years of data engineering experience in a production environment.

Responsibilities

• Design scalable data pipelines, architectures and models.

Skills

Python

SQL

Data pipelines

Data modelling

Data architecture

CI/CD

Testing

Monitoring

Data quality

Mentoring

Tools

AWS

Redshift

Snowflake

Databricks

BigQuery

Datapipelines tooling

Apache Airflow

Tableau

Power BI

Job description

We are looking for a talented and detail-oriented Senior Data Engineer to join our dynamic team in Singapore. In this role, you will design, build, and maintain scalable data pipelines and infrastructure to support business analytics and decision-making. If you have a passion for data engineering and thrive in a collaborative environment, we want to hear from you!

We're Hiring: Senior Data Engineer!

We are looking for a talented and detail-oriented Senior Data Engineer to join our dynamic team in Singapore. In this role, you will design, build, and maintain scalable data pipelines and infrastructure to support business analytics and decision-making. If you have a passion for data engineering and thrive in a collaborative environment, we want to hear from you!

Location: Singapore, Singapore
Work Mode: Work from Office
Role: Senior Data Engineer

Key Responsibilities

• Design data pipelines, architectures, models and reusable data capabilities.
• Apply engineering practices to improve reliability, security, observability and performance.
• Evaluate technologies and contribute to data architecture and engineering standards.
• Promote automated testing, code review, CI/CD and infrastructure-as-code.
• Work with engineers, Product Managers, Data Scientists, analysts and users.
• Provide technical leadership through design reviews, mentoring and knowledge sharing.

Requirements

• Strong software engineering skills with Python and SQL.
• Experience building and operating complex production data systems.
• Strong enterprise data architecture and engineering experience.
• Experience with data pipelines, data modelling, data warehouses, data lakes and lakehouse architectures.
• Experience with AWS and modern data platforms such as Redshift, Snowflake, Databricks or BigQuery.
• Experience with data orchestration, transformation and modelling.
• Strong understanding of testing, CI/CD, monitoring, troubleshooting and data quality.

Good to Have

• Apache Airflow or equivalent.
• Apache Spark .
• AWS data services and cloud infrastructure.
• Tableau, Power BI or equivalent.
• Infrastructure-as-code, data observability, metadata, catalogue or lineage.
• Experience with sensitive or regulated data and technology/data for public good.