Data Engineer

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities/ 工作职责 :

Join Razer to help build and optimize data pipelines and data platforms that support analytics, product improvements, and foundational AI/ML data needs. Collaborate with cross-functional teams to ensure data is reliable, accessible, and governed. Tech stack includes Redshift, Airflow, and DBT.

Key Responsibilities

• Design, develop, and maintain batch and basic real-time data pipelines

• Build and optimize data warehouse / data lake solutions (Redshift, S3, etc.)

• Orchestrate workflows with Airflow; implement transformations and models with DBT

• Implement dimensional and ETL data models with attention to performance and reuse

• Develop Spark jobs for processing large-scale datasets

• Apply data quality, lineage, access control, and compliance practices

• Support analytics, product, and data science with curated, trusted datasets and features

• Leverage Hadoop ecosystem concepts where applicable (e.g., storage, formats, metadata)

• Optimize ETL processes and recommend improvements

• Explore and adopt useful tooling; document workflows

Qualifications

• Bachelor’s degree in Computer Science, Data, or related field

• 2–4 years of data engineering or related experience

• Strong Python and SQL

• Hands-on experience with Redshift, Airflow, DBT

• Mandatory hands-on experience with Apache Spark (batch and/or structured processing)

• Exposure to Apache Flink and Apache Kafka (concepts or basic implementation)

• Understanding of Hadoop ecosystem components (storage formats, metadata, resource concepts)

• Familiar with ETL design patterns and performance tuning

• Basic Linux and Docker knowledge

• Experience with at least one cloud platform (AWS preferred)

• Awareness of data quality and access control practices

• Solid problem-solving and cross-team collaboration ability

Nice to Have

• Experience with feature engineering or early MLOps patterns

• Experience with data catalog tools (e.g., OpenMetadata)

• Gaming, e-commerce, or fintech domain exposure

Pre-Requisites/ 任职要求 :

Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.

Are you game?