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

Rapsys Technologies Pte Ltd.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Rapsys Technologies Pte Ltd. in Singapore is seeking a Data Engineer to design robust data pipelines and deliver BI dashboards using AWS and Tableau/Power BI.

You will partner with business units, translate requirements into data specifications, and develop data models in Redshift and data lakes, ensuring data quality and accessible insights for non-technical users.

Qualifications

• Minimum 3 years of experience in a data engineering, BI, or data analyst role.
• Proficiency in SQL for data querying, transformation, and modelling.
• Hands-on experience with Tableau or equivalent BI tools for dashboard development.

Responsibilities

• Partner with business units to understand data and reporting needs.
• Document data requirements, KPIs, and reporting use cases.
• Translate business requirements into data specifications for the data engineering team.
• Liaise between business stakeholders and the data platform team.

Skills

SQL

Tableau

Power BI

QuickSight

AWS Redshift

S3

AWS Glue

Data modelling

Stakeholder communication

Tools

Tableau

Power BI

QuickSight

Amazon Redshift

S3

AWS Glue

Job description

We're Hiring: Data Engineer – AWS, BI Dashboards, Tableau, BI Tools (Power BI, QuickSight)

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!

Location: Singapore, Singapore

Work Mode: Work from Office

Role: Data Engineer – AWS, BI Dashboards, Tableau, BI Tools (Power BI, QuickSight)

What You'll Do:

Key Responsibilities

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

Data Transformation & Modelling

• Design and develop data transformation logic to prepare curated datasets forreporting and analytics consumption
• Build and maintain data models in Amazon Redshift or the curated/consumptionzone of the Data Lake
• Ensure data accuracy, consistency, and completeness for all reportingdatasets
• Apply data quality checks and validation rules to support trustworthybusiness 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, andscheduled 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 businessrequirements

Data Catalogue & Documentation

• Document data definitions, business glossary terms, and dashboard logic inthe AWS Glue Data Catalogue
• Maintain clear documentation of data sources, transformation logic, andreport specifications
• Support self-service analytics by enabling business users to discover andaccess 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 — AmazonRedshift, S3, AWS Glue)
• Strong stakeholder engagement and communication skills, with the ability totranslate business needs into technical requirements
• Experience in data modelling for analytics (star schema, dimensionalmodelling)

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