The worldwide pioneer in the creation of interactive entertainment, Nintendo Co., Ltd., of Kyoto, Japan, manufactures and markets hardware and software for its Nintendo Switch™ system and the Nintendo 3DS™ family of portable systems. Since 1983, when it launched the Nintendo Entertainment System™, Nintendo has sold billions of video games and hundreds of millions of hardware units globally, including Nintendo Switch and the Nintendo 3DS family of systems, as well as the Game Boy™, Game Boy Advance, Nintendo DS™ family of systems, Super NES™, Nintendo 64™, Nintendo GameCube™, Wii™, and Wii U™ systems. It has also created industry icons that have become well-known, household names, such as Mario, Donkey Kong, Metroid, Zelda and Pokémon. A wholly owned subsidiary, Nintendo of America Inc., based in Redmond, Wash., serves as headquarters for Nintendo’s operations in the Americas. For more information about Nintendo, please visit the company’s website.
Nintendo is an equal opportunity employer. We offer a welcoming and inclusive environment in service to one another, our products, the diverse consumers we represent, and the communities we call home. We do all of this with kindness, empathy and respect for each other.
DESCRIPTION OF DUTIES
- Design, implement and support stable, scalable data pipelines that cleanse, structure and integrate disparate big data sets into a readable and accessible format for end user analyses and targeting.
- Develop quality framework to ensure delivery of high quality data and analyses to stakeholders.
- Implement/improve version control, deployment strategies, notifications to ensure product quality, agility and recoverability.
- Work with business customers in understanding the business requirements and implementing data solutions.
- Manage small projects, hold stakeholder communication and ensure objectives are met.
SUMMARY OF REQUIREMENTS
- 3+ years of quantitative and qualitative experience in building fault tolerant ETL data flows in large scale data warehouses and BI reporting systems.
- Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL.
- Hands-on knowledge on Hadoop, Hive, Presto, AWS Services, Redshift.
- Hands-on knowledge in using advanced SQL queries (analytical functions), experience in writing and optimizing efficient SQL queries
- 1+ years of experience with scripting in Python.
- Experienced in testing and monitoring data for anomalies and rectifying them.
- Excellent communication skills to be able to work with business owners to develop and define key business uses and to build data sets that address them.
- Experience in working with Data visualization tools such a Tableau is a plus.
- Prior experience with marketing data is preferred.
- Bachelor’s degree or equivalent in an engineering or technical field such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar.