Data Engineer – AWS ,BI Dashboards, Tableau, BI tools (Power BI,QuickSight

RAPSYS TECHNOLOGIES PTE LTD; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

RAPSYS TECHNOLOGIES PTE LTD in Singapore is seeking a Data Engineer to build robust data pipelines and deliver insightful dashboards using AWS, Redshift, and Tableau.

You will transform data, model datasets for analytics, catalog data definitions, and partner with business units to translate reporting needs into technical requirements, enabling self-service analytics. The role emphasizes data governance, documentation, and pragmatic problem solving to empower business users.

Qualifications

• 3+ years of data engineering, BI, or data analytics experience.
• Proficient in SQL for querying, transformation, and modelling.
• Experience with Tableau or equivalent BI tools for dashboards.
• Experience with cloud data platforms (AWS Redshift, S3, Glue) and data governance.

Responsibilities

• Partner with business units to understand data and reporting needs.
• Document data requirements, KPIs, and reporting use cases; translate to data specs.
• Design and develop data transformations and data models for analytics.
• Create and maintain dashboards and reports in Tableau or BI tools.

Skills

SQL

BI Tools

AWS Redshift

Data Modelling

Stakeholder Engagement

Tools

Tableau

Power BI

AWS

QuickSight

Job description

Join our dynamic team in Singapore as a Data Engineer to drive impactful data solutions and business intelligence initiatives. If you have a passion for building robust data pipelines and designing insightful dashboards using AWS and leading BI tools, we want to hear from you!

What You'll Do: Key Responsibilities

Requirements Gathering & Stakeholder Engagement

• Partner with business units across the organization to understand their data and reporting needs
• Facilitate requirements workshops and interviews to document data requirements, KPIs, and reporting use cases
• Translate business requirements into clear data specifications for the data engineering team
• Act as the primary liaison between business stakeholders and the technical data platform team

Data Transformation & Modelling

• Design and develop data transformation logic to prepare curated datasets for reporting and analytics consumption
• Build and maintain data models in Amazon Redshift or the curated/consumption zone of the Data Lake
• Ensure data accuracy, consistency, and completeness for all reporting datasets
• Apply data quality checks and validation rules to support trustworthy business insights

Dashboard & Visualisation Development

• Design, develop, and maintain interactive dashboards and reports in Tableau (connected via Amazon Redshift or S3)
• Create near-real-time operational dashboards, ad-hoc analysis views, and scheduled reports tailored to business unit needs
• Ensure dashboards are intuitive and accessible for non-technical end users
• Iterate on dashboard designs based on user feedback and evolving business requirements

Data Catalogue & Documentation

• Document data definitions, business glossary terms, and dashboard logic in the AWS Glue Data Catalogue
• Maintain clear documentation of data sources, transformation logic, and report specifications
• Support self-service analytics by enabling business users to discover and access data independently

Requirements

Essential

• Minimum 3 years of experience in a data engineering, business intelligence, or data analyst role
• Proficiency in SQL for data querying, transformation, and modelling
• Hands-on experience with Tableau or equivalent BI tools (Power BI, QuickSight) for dashboard development
• Experience working with cloud data platforms (AWS preferred — Amazon Redshift, S3, AWS Glue)
• Strong stakeholder engagement and communication skills, with the ability to translate business needs into technical requirements
• Experience in data modelling for analytics (star schema, dimensional modelling)

Preferred

• Familiarity with Python for data transformation and automation
• Experience with AWS Glue Data Catalogue or similar metadata management tools
• Exposure to Salesforce or other SaaS data sources
• Prior experience working in a government, or public sector environment
• Understanding of data governance and data quality principles

If you're ready to make an impact through innovative data solutions—