Job Description

Analytics Engineer/Data Engineer

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, Omni.co, 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 Omni.co. 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.

Job Types: Full-time, Permanent

Pay: RM6,000.00 - RM16,000.00 per month

Work Location: In person