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

Working Location : Central
..We regret to inform that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes..

Data Engineer (Business Intelligence & Dashboards) - KT