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Senior Data Engineer

Razer Inc.Kuala Lumpur, Kuala Lumpur, Malaysia

8 hours ago

Job description

Razer Inc. Bangsar South, Federal Territory of Kuala Lumpur, Malaysia

Overview

Senior Data Engineer role at Razer. Responsible for leading technical initiatives in data engineering and AI data infrastructure, building scalable data pipelines, and supporting analytics, product optimization, and AI / ML applications. Collaborate with stakeholders to understand data needs and deliver robust data solutions. Exposure to cutting-edge AI / ML technologies as part of the innovation roadmap.

Responsibilities

Lead the design and development of robust, scalable data pipelines for both traditional analytics and AI / ML workloads
Build and maintain data architectures including data warehouses, data lakes, and real-time streaming solutions using tools like Redshift, Spark, Flink, and Kafka
Implement and optimize data orchestration workflows using Airflow and data transformation processes using DBT
Design and implement dimensional modeling solutions, leading dimensional modeling design initiatives
Develop automated data workflows and integrate with DevOps / MLOps frameworks using Docker, Kubernetes, and cloud infrastructure
Implement best practices for data governance, including data quality, security, compliance, data lineage, and access control
Collaborate with data scientists, analysts, and business stakeholders to understand technical requirements and deliver reliable data infrastructure
Demonstrate strong business sensitivity to ensure data solutions align with business objectives and requirements
Support AI / ML initiatives by building feature stores, vector databases, and real-time inference pipelines
Continuously explore and adopt new technologies in data engineering and AI / ML space
Proactively drive new initiatives and mentor junior team members

Qualifications

Bachelor's degree in Computer Science, Data Engineering, Statistics, or related field

5+ years of experience in data engineering with focus on scalable data architectures

Expert proficiency in Python and SQL programming languages

Hands-on experience with AWS Redshift, Apache Airflow, and DBT (Data Build Tool)

Strong experience with big data frameworks : Apache Spark, Apache Flink, and Apache Kafka

Solid understanding of Linux, Docker, and Kubernetes for containerization and orchestration

At least one cloud platform experience (AWS preferred, but GCP or Azure acceptable)

Proven experience in dimensional modeling design and implementation

Strong business acumen with sensitivity to business requirements and ability to translate them into robust technical data solutions

Fluent in English (reading, writing, and verbal communication)

Experience in data governance including data quality, security, access management, and data lineage

Foundational knowledge of AI / ML workflows, model deployment pipelines, and LLM integration patterns

Demonstrated ability to lead technical initiatives and drive adoption of new technologies independently

Strong analytical and communication skills with experience working across cross-functional teams

Nice To Have

Experience with OpenMetadata for data catalog and governance

SQL Server database experience

Experience in gaming, e-commerce, or fintech industries

Pre-Requisites

Are you game?

Employment type : Full-time | Seniority level : Mid-Senior level | Job function : Information Technology | Industries : Computers and Electronics Manufacturing

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Senior Data Engineer • Kuala Lumpur, Kuala Lumpur, Malaysia