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

RAPSYS TECHNOLOGIES PTE. LTD. • Islandwide, SG

24 days ago

Job description

Roles & Responsibilities

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

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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

Tell employers what skills you have

Tableau
Data Reports
Dashboards
Business Data Analysis
AWS
Amazon Redshift
Data Transformation
Private Equity
ETL
Define Data Requirements
requirements from stakeholders
Use Case Analysis
Requirements Documentation
Data Lake
Rendering
achieving KPIs
Business Intelligence (Bi) Tools
Hedge Funds
Power BI
Data Visualisation

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