DATA ENGINEER

Rapsys Technologies Pte Ltd.; Singapore; Sur place; SGD 140 000 - 190 000; Plein temps

Résumé du poste

Rapsys Technologies Pte Ltd. in Singapore is seeking an experienced Data Engineer to design, deploy, and maintain data solutions using advanced analytics and AI technologies.

You will play a key role in conducting research and performing comprehensive data analysis to uncover new business use cases and address operational challenges. By enabling data-driven solutions, this role supports strategic decisions and IT transformation.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• 8+ years of experience in data platforms, 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 Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Experience with cloud-based data platforms (e.g., Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage technologies (SQL/NoSQL).
• Proven experience in at least one major data processing tool (Informatica, Kettle, Talend, Airflow, Dolphin etc.).
• Proficiency with BI tools (Power BI, Tableau).
• Excellent problem-solving skills and attention to detail in large datasets.

Responsabilités

• Design, deploy, and maintain data pipelines to support analytics.
• Develop and update dashboards and reports to visualize key metrics.
• Collaborate with stakeholders to gather data requirements and ensure alignment with business needs.
• Validate and cleanse data to improve quality and ensure accurate reporting.
• Troubleshoot data pipelines and databases to maintain platform performance.
• Research and apply suitable ML models or statistical techniques to support business use cases.

Connaissances

Data Analytics

Problem Solving

Communication

Independent Work

Team Collaboration

Formation

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

Outils

Informatica

Airflow

Databricks

Snowflake

Power BI

Tableau

Azure Data Factory

Azure Purview

SQL/NoSQL

Kafka

Description du poste

We're Hiring: Data Engineer!

JOB SUMMARY

We are seeking an experienced Data Engineer to join our team. This role is responsible for understanding business priorities and designing, deploying, and maintaining innovative data solutions using advanced analytics and AI technologies to support strategic decision-making. You will play a key role in conducting research and performing comprehensive data analysis to uncover new business use cases, address operational challenges, and solve complex problems. By enabling intelligent data-driven solutions, this role contributes directly to RWS’s strategic goals, enhances customer experience, and supports the IT division’s transformation agenda.

KEY RESPONSIBILITIES (JOB REQUIREMENTS)

1. 1 Data Engineering & Platform Support
2. 2 Design and maintain basic data pipelines and integration processes to support reliable data flow and ensure data availability for analytics.
3. 3 Implement and monitor data validation and cleansing routines to improve data quality and ensure accurate reporting.
4. 4 Support and troubleshoot operational issues in data pipelines and databases to maintain smooth and continuous platform performance.
5. 5 Develop and update dashboards and reports to visualize key metrics and support data-driven decision-making across teams.
6. 1 Collaboration & Business Understanding
7. 2 Collaborate with stakeholders to gather data requirements and ensure solutions align with business needs and objectives.
8. 3 Communicate data insights and findings in a clear and actionable manner to support informed decision-making by non-technical stakeholders.
9. 4 Assist in analyzing structured and unstructured data to identify trends and patterns that contribute to solving business problems.
10. 1 Learning & Continuous Improvement
11. 2 Research and apply suitable machine learning models or statistical techniques under guidance to support business use cases.
12. Stay updated on industry trends and tools in data engineering and analytics to enhance technical skills and contribute to team innovation.
13. - 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.

CORE COMPETENCY

1. 1. Data Analytics
2. 2. Design thinking
3. 3. Business Needs Analysis
4. 4. Data Engineering
5. 5. Data Quality Assurance
6. 6. Data Security & Compliance