Data Engineer
Posted
Summary
Rapsys Technologies is hiring a Data Engineer in Singapore to design, build, and maintain scalable data pipelines, run data validation/cleansing routines, build dashboards, and collaborate with stakeholders. Core tech includes Python/SQL, ETL tools, and cloud platforms like Databricks, Snowflake, and Kafka.
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!
What You’ll Do:KEY RESPONSIBILITES (JOB REQUIREMENTS)- Data Engineering & Platform Support
- Design and maintain basic data pipelines and integration processes to support reliable data flow and ensure data availability for analytics.
- Implement and monitor data validation and cleansing routines to improve data quality and ensure accurate reporting.
- Support and troubleshoot operational issues in data pipelines and databases to maintain smooth and continuous platform performance.
- Develop and update dashboards and reports to visualize key metrics and support data-driven decision-making across teams.
- Collaboration & Business Understanding
- Collaborate with stakeholders to gather data requirements and ensure solutions align with business needs and objectives.
- Communicate data insights and findings in a clear and actionable manner to support informed decision-making by non-technical stakeholders.
- Assist in analyzing structured and unstructured data to identify trends and patterns that contribute to solving business problems.
- Learning & Continuous Improvement
- 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.
- 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? and be part of our growth journey!