Data Engineer: AWS, Tableau Dashboards & BI Tools

Tap Growth ai; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Tap Growth ai in Singapore is hiring a Data Engineer to build robust data pipelines and design insightful dashboards using AWS and BI tools. This role focuses on transforming data for reporting and analytics, partnering with business units to define KPIs and requirements.

The ideal candidate has 3+ years in data engineering or BI, strong SQL, and hands-on experience with Tableau or Power BI, QuickSight, and AWS Redshift/S3. Office-based in Singapore.

Qualifications

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

Responsibilities

• Partner with business units to understand data and reporting needs.
• Facilitate requirements workshops and document data requirements and KPIs.
• Translate business requirements into data specifications for the engineering team.
• Act as liaison between stakeholders and data platform teams.
• Design, develop, and maintain dashboards in Tableau/Power BI/QuickSight.

Skills

SQL

Tableau

Power BI

QuickSight

AWS Redshift

S3

AWS Glue

Data modelling

Stakeholder engagement

Python

Tools

Tableau

Power BI

QuickSight

AWS Glue Data Catalogue

Job description

Tap Growth ai in Singapore is hiring a Data Engineer to build robust data pipelines and design insightful dashboards using AWS and BI tools. This role focuses on transforming data for reporting and analytics, partnering with business units to define KPIs and requirements.

The ideal candidate has 3+ years in data engineering or BI, strong SQL, and hands-on experience with Tableau or Power BI, QuickSight, and AWS Redshift/S3. Office-based in Singapore.