Data Engineer

About the Company

Our client is a prominent enterprise organization based in Petaling Jaya, leading digital innovation across its business functions. They are currently scaling their internal technology capabilities to better harness high-volume data assets for advanced analytics, automated reporting, and strategic business decision-making.

About the Job

As a Senior Data Engineer, you will be responsible for designing, constructing, and maintaining end-to-end data pipelines, modern data warehouses, and structured lakehouses. You will lead complex data migration initiatives, optimize legacy workflows, and ensure high reliability, performance, and accessibility across all data products.

Salary: Up to RM 15,000 per month
Work Arrangement: Hybrid (4 days in PJ office / 1 day WFH)
Location: Petaling Jaya (PJ), Selangor

About the Team

You will be joining an agile, collaborative Data & AI squad comprising Data Engineers, Data Architects, and Business Intelligence Analysts. The team emphasizes hands-on execution, analytical rigor, and knowledge-sharing in a supportive tech ecosystem.

Education

Bachelor's Degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related quantitative discipline.

Qualifications

5+ years of hands-on experience in Data Engineering, Data Warehousing, and Database Administration.
Strong, demonstrated track record in planning, executing, and optimizing enterprise Data Migration projects.
Proven experience in dimensional modeling and building production-grade Data Warehouses using industry best practices.

Key Skills & Responsibilities

Key Responsibilities:

Pipeline Development: Design, build, and optimize automated ETL/ELT data pipelines to ingest, process, and clean data from disparate sources into centralized repositories.
Architecture Implementation: Build and organize data layers following the Medallion Architecture framework (Bronze, Silver, Gold) to support clean operational and analytical data consumption.
Data Migration: Execute data migration strategies from legacy systems/databases to modernized cloud-based environments with minimal downtime and data loss.
Data Modeling: Construct efficient Star Schema and Snowflake data models optimized for business intelligence, reporting, and ad-hoc analytical workloads.
Optimization & Performance Tuning: Write and refine complex SQL queries and Python scripts to improve performance, query efficiency, and pipeline throughput.
Governance & Data Quality: Establish automated validation checks, error handling, logging, and monitoring systems to ensure high levels of data accuracy, integrity, and security.
Stakeholder Collaboration: Partner with Data Analysts, BI Developers, and business units to translate business requirements into scalable, technical data specifications.

Key Skills Required

Must-Have:

Technical Mastery: Advanced proficiency in Python and SQL for pipeline development, scripting, and data transformations.
Core Frameworks: In-depth working knowledge of Star Schema Modeling and Medallion Architecture standards.
ETL & Migration: Deep experience with modern ETL/ELT tooling, data orchestration, and cloud migration frameworks.

Nice-to-Have:

Language Proficiency: Conversational or fluent Mandarin (written and spoken) to liaise directly with regional stakeholders, teams, or vendors who communicate primarily in Mandarin.
Oracle Stack: Hands-on experience with Oracle Data Integrator (ODI) and Oracle Cloud Infrastructure (OCI) systems.

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