Asgard Resources Sdn. Bhd. is hiring a Full time Data Engineer role in Bangsar Selatan, Wilayah Persekutuan Kuala Lumpur. Apply now to be part of our team.
Job summary :
- Looking for candidates available to work :
- Monday : Afternoon, Evening, Morning
- Tuesday : Afternoon, Evening, Morning
- Wednesday : Afternoon, Evening, Morning
- Thursday : Afternoon, Evening, Morning
- Friday : Afternoon, Evening, Morning
Role Overview
At XR, Analytics Engineers are the bridge between data engineering and data analysis. They transform raw data into trusted, analytics-ready datasets that empower analysts, data scientists, and business stakeholders to focus on insights and strategy. Think of Analytics Engineers as owning the user experience (UX) of data—ensuring it's well-organized, reliable, and easy to use.
This is a high-visibility role where you'll partner closely with leaders across Finance, Product, and Operations to ensure they have timely, accurate, and trusted data to drive critical decisions. You'll also play a central role in XR's hub-and-spoke BI model : maintaining centralized governance and standards, while enabling distributed analysts across the business to explore and self-serve with confidence.
Key Responsibilities
Data Transformation & Modeling : Build analytics-ready datasets using a layered approach (Medallion Architecture – Bronze, Silver, Gold) in Databricks.Delta Live Tables (DLT) : Design, manage, and optimize DLT pipelines to deliver reliable and automated transformations at scale.Enable Self-Service : Deliver curated, governed datasets in BI tools (Looker, , etc.) to empower analysts and business stakeholders.Data Quality Monitoring : Implement validation and monitoring processes to ensure accuracy, consistency, and trust in data across all layers.Governance & Documentation : Define and maintain data naming conventions, dictionaries, and semantic models for standardization.Access & Security : Establish and enforce dataset access controls that balance governance with usability.Cross-Functional Collaboration : Work closely with Finance, Product, and Operations leaders as well as analysts, data scientists, and engineers to enrich semantic models and accelerate time-to-insights.Qualifications
Required :
Advanced SQL skills and expertise in data modeling (star schema, dimensional modeling, semantic layers).Hands-on experience with Databricks, including Delta Live Tables (DLT).Experience building datasets with a layered architecture (Medallion : Bronze, Silver, Gold).Familiarity with ETL / ELT tools (dbt, Fivetran, Airflow, or similar).Experience with BI platforms (Looker, Power BI, Tableau, or Looker and Omni a plus).Understanding of data governance and self-service enablement.Strong communication and collaboration skills, especially when working with non-technical business leaders.Proficiency with Git and modern data stack practices.