**Experienced Full Stack Data Entry Specialist – Distributed Systems and Cloud Application Development**

At arenaflex, we're revolutionizing the way we engage with the world, constantly pushing the boundaries of how entertainment is created, produced, and delivered to a global audience. With over 30 languages streaming in 190 countries, we've surpassed 220 million paid subscribers and are venturing into new forms of entertainment like gaming. Our data engineering teams at arenaflex empower us to harness the power of data to bring joy to our members in countless ways. We provide unified data platforms and tools for various business capabilities at arenaflex, enabling them to make informed, data-driven decisions. We strive to be the best in building an elite data foundation, as arenaflex leads the way in becoming the most popular and indispensable destination for global web entertainment.

• *Join arenaflex's Dynamic Data Engineering Team**

We're seeking experienced distributed systems specialists to help advance and grow our foundation as we pursue our ambitious goal of 500 million members worldwide. We're committed to building a diverse and inclusive team to bring new perspectives as we tackle the next set of challenges. And, we're open to remote candidates. We value what you can do, from anywhere in the U.S.

• *Focus Areas in Data Engineering Teams**

### Data Access Stage

The Data Access Stage team builds and operates an adaptable query interface that enables data considerations to work at sub-millisecond latencies while allowing Netflix microservices to more effectively store, consume, and manage their data. This team holds a significant responsibility in empowering Netflix microservices to meet their increasingly growing and evolving data needs.

This team is passionate about distributed data systems technology. We're active in the open-source community and believe in working on what we own. We're a small team responsible for business-critical systems and are committed to a culture of feedback and design.

### Data Stage Foundation

The Data Stage Foundation team serves as a platform for our own data platforms. Our shared foundation and tooling enable Netflix to rapidly enhance on providing cutting-edge data and analytics platforms to the rest of the organization without building tailored platforms for each new framework. To do this, we create high-impact frameworks, control, and deployment systems that are tailored for the needs of running our data platforms at scale; many of our tools and frameworks are written in Python, making this an excellent team to consider if you enjoy working in multiple languages.

### Data Development and Handling

Offers a self-service, cleared way item to empower differed client persona across Netflix meet their low-idleness Data Development and Handling necessities; empowers deliberation throughout complex Continuous structures like Kafka and Flink; offers a Diagram driven handling experience; puts resources into functional mechanization, dependability and instruments for unsurprising information quality.

### Huge Data Figure

Responsible for giving the cloud-local stage to disseminated information handling at Netflix. This group is vital to cluster information handling in Information Stage. It offers help for Flash, to ETL information into the Petabytes-scale information distribution center and access that information utilizing Flash and Voila/TrinoDB. It likewise gives sub-second inertness to a specific class of questions utilizing Druid. We are searching for uncommon ability with experience in Flash, Presto/Trino, Druid, Ice shelf and dispersed data set frameworks overall. Jobs in this group include tackling very fascinating and testing issues of working with information at scale, building elements and execution improvements and working intimately with open source networks to shape the ventures and make commitments.

### Huge Data Arrangement

Offers the stage for booking, organizing and executing enormous information occupations and work processes in a self serve way. These stages incorporate primary administrations that have all ETL and ML responsibilities running on Huge Information Frameworks at Netflix. These completely circulated frameworks are continually advancing for Netflix scale with best in class innovation. We are moving towards occasion driven and insightful coordination which would require insignificant client input/mediation.

• *What You'll Love About This Job**

• Solving real business needs at large scale by applying your programming and scientific critical thinking skills.
• Architecting and building a robust, flexible, and highly accessible distributed foundation.
• Driving cross-functional initiatives and collaborating with engineers, product managers, and TPMs across teams.
• Contributing your experiences to the open-source community and adding to arenaflex OSS.

• *About You**

• You have 2+ years of experience in building large-scale distributed systems features or applications.
• You're proficient in the design and development of Scalable web services.
• Experienced in building and operating versatile, fault-tolerant, distributed systems.
• You're knowledgeable about Java or other object-oriented programming languages.
• Multithreading is a challenge that you're open to handling.
• You have a BS in Software Engineering or a related field.

• *Why Join arenaflex?**

• Competitive compensation and benefits package.
• Opportunities for career growth and professional development.
• Collaborative and dynamic work environment.
• Recognition and rewards for outstanding performance.
• Comprehensive training and onboarding program.
• Flexible work arrangements and remote work options.

• *Ready to Join the arenaflex Team?**

If you're passionate about building scalable, distributed systems and contributing to a dynamic team, we encourage you to apply for this exciting opportunity. Don't miss the chance to be part of arenaflex's innovative journey and shape the future of entertainment technology.