Data Engineer - Business Intelligence & Dashboards,AWS,BI tools (Power BI, QuickSight)

RAPSYS TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 65,000 - 110,000; Full time

Job summary

RAPSYS TECHNOLOGIES PTE. LTD. in Singapore seeks a data–driven professional to join the analytics team. You will gather requirements, translate them into data specifications, and collaborate with the data platform group to deliver trusted insights.

Responsibilities include transforming data, modelling in Redshift and the data lake, and building dashboards in Tableau to meet business needs. Strong SQL and stakeholder communication are essential.

Qualifications

• Minimum 3 years of experience in data engineering, BI, or data analyst roles.
• Proficiency in SQL for data querying, transformation, and modelling.
• Hands-on experience with Tableau or Power BI for dashboard development.
• Experience with cloud data platforms (AWS Redshift, S3, AWS Glue).
• Strong stakeholder engagement and communication to translate business needs into technical requirements.
• Experience in data modelling for analytics (star schema, dimensional modelling).

Responsibilities

• 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.
• 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 trust worthy business insights.
• 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.
• 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.

Skills

SQL

Tableau

Power BI

Quick Sight

AWS

Data Modelling

Stakeholder Engagement

Tools

Amazon Redshift

S3

AWS Glue

Glue Data Catalogue

Job description

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 trust worthy 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, Quick Sight) 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