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 : This role is responsible for designing, building, and maintaining scalable, high-volume data processing systems that support Razer’s internal analytics and AI use cases.
The Data Engineer enables the reliable collection, transformation, and storage of raw data into high-quality, trusted datasets for data scientists, business analysts, and downstream applications.
The role focuses on developing and operating data pipelines, data platforms, and integration frameworks to ensure data reliability, performance, and scalability.
Working closely with data scientists, analytics engineers, data analysts, data product managers, and other internal stakeholders, the Data Engineer helps unlock insights, power analytics, and enable the effective use of AI and machine learning capabilities across the organization.
Essential Duties and Responsibilities Design, develop and maintain scalable data systems that enable the organization to store, process, and analyze large volumes of structured and unstructured data used for analytics and AI use cases.
Build and operate reliable data pipelines and platform that support batch and streaming workloads, ensure data freshness, accuracy, and completeness.
Manage data lakes and data warehouses by populating and operationalizing them.
This involves designing and creating data-marts, tokenization and vectorization techniques to support Gen AI use cases.
Leverage modern build tools and AI to enhance automation, data quality, testing, and deployment of data pipelines.
Design and implement cloud-based data infrastructure in alignment with the company’s security, governance, and cost optimization policies.
Collaborate with data scientists, data analysts, analytics engineers, data product managers and business users to understand data requirements and translate them into scalable, maintainable data solutions.
Mentor interns for the duration of their internship to upgrade, maintain and implement data pipelines.
Education & Experience Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
Minimum of 2 years of hands-on experience in data engineering or a closely related role; supporting, building and improving production data pipelines and platforms.
Pre-Requisites : Skills required Proven experience in building and maintaining ELT/ETL pipelines using Python, SQL with software programming best practices.
Excellent with various data processing techniques (streaming, batch, event-based), managing and optimizing data storage (Data Lake, Data Warehouse, Vector Data Stores and Database, SQL, and NoSQL).
Hands-on experience with cloud-based data platforms such as AWS (eg.
Redshift, Sagemaker, Glue), Snowflake, Google BigQuery, or Azure Data Lake.
Experience using pipeline orchestration tools like Airflow, distributed computing framework like Spark or Dask, data transformation tool like Data Build Tool (DBT).
Proficiency with version control systems (Git) and CI/CD pipelines (Bitbucket pipelines) for data engineering workflows.
Experience using IAC tools such as Terraform, containerization tools like Docker, container orchestration platforms like Kubernetes.
Experience with BI and analytics tools like Superset, PowerBI.
A fast learner who is interested in integrating AI into data engineering, good team player with excellent written and verbal communication skills.
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?
At Razer, you’ll be at the forefront of the most exciting industry in the world: gaming.
As gaming evolves, so does the ecosystem that powers it: hardware, software and services.
Guided by our mission “For Gamers.
By Gamers.”, we create cutting-edge products and experiences that define the ultimate gameplay.
Staying true to our mission, we’re relentlessly pushing boundaries and leading the charge in AI for gaming, shaping the future of the industry.
At Razer, you won’t just witness this evolution; you’ll help drive it.
Joining Razer means being part of a global mission to bring gamers closer to the games they love.
Whether you’re crafting the next generation of gaming gear or powering our global operations behind the scenes, you’ll take on meaningful work in a truly international, cross-cultural environment.
The journey toward Being Phenomenal isn’t always easy, but gamers excel through teamwork, grit, and problem-solving.
Our people are what make Razer exceptional.
Together, we’ll take Razer to even greater heights.
Razer is proud to be certified a Great Place to Work® in both the United States and Singapore, and recognized as a Singapore Top Employer by the Top Employer Institute, reflecting our commitment to making your journey here a rewarding one.
Equal Opportunity Employer At Razer, we believe diverse teams build better ideas and a stronger culture.
We are committed to providing an inclusive, respectful, and fair workplace for every employee.
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 by the laws of the countries we operate in.
We also provide reasonable accommodations where needed — including for disability or religious practices — so every team member can perform and contribute at their best.
Discover exciting opportunities in biotechnology. Join innovative companies that are advancing healthcare and life sciences through cutting-edge research and development.
Salary: $90,000 - $140,000
🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.
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