Real-Time Data Engineer — Kafka Specialist

Rapsys Technologies Pte Ltd.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Rapsys Technologies Pte Ltd. is hiring a Data Engineer with Kafka in Singapore. The role focuses on building robust data pipelines, real-time streaming, and scalable data architectures to empower business decisions.

Ideal candidates will have 4+ years of data engineering experience, strong SQL/Python skills, and hands-on knowledge of cloud data platforms and BI tools. The position is office-based in Singapore with a collaborative team environment.

Qualifications

• Experience in data platform, data analytics or relevant projects.
• Proven experience designing and managing enterprise data architecture, including batch and real-time processing.
• Strong programming skills in Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Experience with data models, ETL processes, and data integration solutions.
• Experience with at least one major data processing tool (Informatica, Kettle, Talend, Airflow, Dolphin, etc.).
• Experience with cloud-based data platforms (Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, etc.) and data storage tech (SQL/NoSQL, Vector and Graph).
• Excellent problem-solving skills and ability to work with large data sets.
• Effective communication to convey complex concepts to non-technical stakeholders.
• Ability to work independently and in a team, in a fast-paced environment.
• Experience with AI tech stack is a plus.
• Experience with BI tools (Power BI, Tableau).
• Related industry experience is a plus.

Responsibilities

• Data Engineering & Platform Support.
• Design and maintain basic data pipelines and integration processes to support reliable data flow and analytics.
• Implement and monitor data validation and cleansing routines to improve data quality and reporting accuracy.
• Support and troubleshoot operational issues in data pipelines and databases for smooth performance.
• Develop and update dashboards and reports to visualize key metrics and support data-driven decisions across teams.
• Collaboration with stakeholders to gather data requirements and ensure solutions align with business needs.
• Communicate data insights to non-technical stakeholders.
• Assist in analyzing structured and unstructured data to identify trends.
• Learning and applying suitable ML models under guidance to support business use cases.

Skills

Data engineering

Real-time streaming

Python

SQL

ETL

Data modeling

Problem-solving

Communication

Education

Bachelor's degree in Computer Science, Data Science, Statistics, or a related field

Tools

Kafka

Airflow

Azure Data Factory

Databricks

Snowflake

Power BI

Tableau

Job description

Rapsys Technologies Pte Ltd. is hiring a Data Engineer with Kafka in Singapore. The role focuses on building robust data pipelines, real-time streaming, and scalable data architectures to empower business decisions.

Ideal candidates will have 4+ years of data engineering experience, strong SQL/Python skills, and hands-on knowledge of cloud data platforms and BI tools. The position is office-based in Singapore with a collaborative team environment.