Role Overview
We are looking for a
Data Engineer with strong business engagement and BI capabilities
to bridge business requirements with data and analytics solutions. You will work closely with stakeholders to understand reporting needs, develop reliable datasets and build intuitive dashboards that support data-driven decision-making.
Key Responsibilities
Engage business stakeholders to understand
data, reporting and KPI requirements .
Conduct requirements workshops and translate business needs into technical data specifications.
Develop data transformation logic and curated datasets for reporting and analytics.
Build and maintain data models using
Amazon Redshift or cloud-based data platforms .
Ensure data accuracy, consistency and quality through appropriate validation and controls.
Design and develop interactive
Tableau dashboards and reports .
Build operational dashboards, ad-hoc analysis views and scheduled reports.
Maintain data definitions, business glossary, dashboard logic and technical documentation.
Support self-service analytics and enable business users to access and understand data effectively.
Requirements
Minimum
3 years of experience
in data engineering, business intelligence or data analytics.
Strong
SQL
skills covering data querying, transformation and modelling.
Hands-on experience developing dashboards using
Tableau, Power BI, Amazon QuickSight or equivalent BI tools .
Experience with cloud data platforms, preferably
AWS, Amazon Redshift, S3 and AWS Glue .
Experience in
data modelling for analytics , including star schema or dimensional modelling.
Strong stakeholder engagement and communication skills.
Ability to translate business requirements into clear technical and data requirements.
Preferred
Python experience for data transformation or automation.
Experience with
AWS Glue Data Catalogue
or similar metadata management tools.
Exposure to
Salesforce or other SaaS data sources .
Understanding of
data governance and data quality principles .
Experience in large-scale, government or public-sector data environments.
Interested candidates are encouraged to submit their resumes outlining their relevant experience and achievements to sherriyang(@)talentvis.com or click apply!
..We regret to inform that only shortlisted candidates would be notified..
EA License No: 04C3537
EA Personnel No: R22106683
EA Personnel Name: Yang Hui Shan, Sherri