Kerja Sepenuh Masa, Data Engineer di RAPSYS TECHNOLOGIES PTE LTD - Maukerja

We're Hiring: Data Engineer!

We are looking for an experienced and driven Data Engineer to join our dynamic team in Singapore. As a key member, you will design, build, and maintain scalable data pipelines that empower business insights and innovation. If you have a passion for data architecture and thrive in collaborative environments, we want to hear from you!

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

What You'll Do:KEY RESPONSIBILITES (JOB REQUIREMENTS)
1 Data Engineering & Platform Support
2 Design and maintain basic data pipelines and integration processes to
support reliable data flow and ensure data availability for analytics.
3 Implement and monitor data validation and cleansing routines to improve data
quality and ensure accurate reporting.
4 Support and troubleshoot operational issues in data pipelines and databases
to maintain smooth and continuous platform performance.
5 Develop and update dashboards and reports to visualize key metrics and
support data-driven decision-making across teams.

1 Collaboration & Business Understanding
2 Collaborate with stakeholders to gather data requirements and ensure
solutions align with business needs and objectives.
3 Communicate data insights and findings in a clear and actionable manner to
support informed decision-making by non-technical stakeholders.
4 Assist in analyzing structured and unstructured data to identify trends and
patterns that contribute to solving business problems.

1 Learning & Continuous Improvement
2 Research and apply suitable machine learning models or statistical
techniques under guidance

to support business use cases.
• Stay updated on industry trends and tools in data engineering and analytics to
enhance technical skills and contribute to team innovation.
• - Recommend and support process improvements to increase data pipeline
efficiency and improve data reliability over time.

JOB REQUIREMENTS/JOB QUALIFICATIONS
Bachelor’s degree in Computer Science, Data Science, Statistics, or a related
field.
At least 8 years’ working experience in data platform, data analytics or
relevant projects.
Proven experience as a Data Engineer, with design and managing enterprise
data architecture, including batch and real time processing.
Solid programming skills in languages such as Python, SQL, SAS, or R for
data analysis and data engineering tasks.
Prior experience as a Data Engineer, with a demonstrated ability to design
and implement data models, ETL processes, and data integration solutions.
Proven experience in at least one major data processing tool (Informatica,
Kettle, Talend, Airflow, Dolphin etc.).
Prior experience with cloud-based data platforms (e.g., Azure Data Factory,
Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage
technologies (e.g., SQL/NoSQL, Vector and Graph etc.).
Excellent problem-solving skills and the ability to work with large, complex
data sets.
Strong attention to detail, ensuring data accuracy and reliability in all
analyses.
Effective communication skills to convey complex technical concepts to non-
technical stakeholders.
Proven ability to work independently as well as collaboratively in a fast-paced,
team-oriented environment.
Prior experience of AI technology stack is a great plus.
Prior experience in at least one BI tool (Power BI, Tableau, etc.).
Related industry experience is a plus.

Keen to drive innovation through data? Apply now and be part of our growth journey!