Data Engineer AWS ,BI Dashboards, Tableau, BI tools (Power BI,QuickSight
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Summary
Singapore-based (office) Data Engineer who gathers business reporting requirements, builds transformation logic and dimensional data models on AWS (Redshift, S3, Glue), and develops Tableau/Power BI/QuickSight dashboards while maintaining documentation and data quality for self-service analytics.
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 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—apply now!
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 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—apply now!