Search Jobs
Search by job, company or skills
Search by job, company or skills
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.
Essential Duties and Responsibilities
Assistin developing and maintainingdbtmodels to transform raw data into structured, analytics-ready datasets.
Support implementation of testing and documentation standards withindbt.
HelpoptimizeSQL queries for performance and scalability.
Assistin monitoring andmaintainingAirflow workflows.
Help troubleshoot data pipeline issues under supervision.
Build andmaintaindashboards in Apache Superset under guidance.
Work closely with analytics engineers, data engineers,datascientistsand business stakeholders.
Support ad hoc analytical requests using existing data models.
Candidate Requirements
Strong foundational knowledge of SQL.
Basic understanding of data modeling concepts.
Familiarity withdbt, workflow tools (e.g., Airflow), or cloud data platforms (Redshift, Snowflake,BigQuery) is a plus.
Exposure to BI tools (Superset, Tableau, Power BI, Looker) isadvantageous.
Basic understanding of AI tools and their application in enhancing productivity.
Strong analytical and problem-solving mindset.
Detail-oriented with a structured approach to debugging and validation.
Good written and verbal communication skills.
Eagerness to learn modern analytics engineering best practices.
Learning Objectivesand Outcomes
Gain hands-on experience building and testingdbtmodels.
Understand how Airflow orchestrates production data workflows.
Learn best practices in analytics engineering (documentation, version control, testing).
Build production-level dashboards in Apache Superset.
Develop the ability to translate business requirements into technical data models.
Gain exposure to large-scale data environments supporting multiple applications and business stakeholders.
Develop skills in using AI tools to enhance data analysis and support employee tasks.
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
Razer Inc., is an American-Singaporean multinational technology company that designs, develops, and sells consumer electronics, financial services, and gaming hardware. Founded by Min-Liang Tan and Robert Krakoff, it is dual headquartered in one-north, Singapore and Irvine, California, US
Job ID: 143567375
