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Experienced Full Stack Data Entry Specialist – Web & Cloud Application Development at arenaflex

Work from home Full-time role Hiring

At arenaflex, we're revolutionizing the way people engage with entertainment and media. With over 200 million paid subscribers in more than 190 countries, we're just getting started. Our next big frontier is gaming, and we're looking for talented individuals to help us bring new experiences to our rapidly growing audience. As a member of our Data Science and Engineering (DSE) team, you'll have the opportunity to shape the future of arenaflex and make a lasting impact on our users worldwide.

About arenaflex's Data Science and Engineering Team

arenaflex's DSE team is dedicated to harnessing the power of data, analytics, and science to drive innovation across our business. We're a collaborative and dynamic group of experts who are passionate about using data to tell stories, identify trends, and inform decision-making. Our team is at the forefront of arenaflex's gaming strategy, working closely with our game studio partners to design and implement data pipelines that drive business outcomes.

Job Summary

We're seeking an experienced Full Stack Data Entry Specialist to join our Games DSE team. As a key member of this team, you'll be responsible for designing and implementing data pipelines that handle structured and unstructured data, collaborating with our game studio partners to develop high-level metrics for games, and working closely with our internal game studios and external partners to ingest relevant data and game information into the arenaflex ecosystem.

Responsibilities

* Design and implement efficient, scalable, and adaptable data pipelines to handle large datasets

  • Develop a deep understanding of the emerging games space at arenaflex
  • Collaborate with our game studio partners to develop high-level metrics for games (e.g., maintenance, etc.)
  • Partner with Netflix's internal game studios (Night School, Next Games, Manager Battle, and Agile Fox) to ingest pertinent data and game information into the arenaflex ecosystem
  • Collaborate with the Netflix SDK team and external game partners (e.g., Gameloft) to collect data through the Netflix Games SDK
  • Join a dynamic team of data engineers with diverse skill sets, working closely with data science and engineering partners to drive business outcomes

About You

* You're passionate about building robust data products and have a strong understanding of data engineering principles

  • You have extensive experience in at least one of Java, Python, or Scala, with a minimum of 2 years of programming or data engineering experience
  • You're proficient in advanced SQL and have experience designing data pipelines using big data technologies (Hive, Voila, Flash, Flink) on medium to large-scale datasets
  • You're familiar with AWS cloud services (S3, EC2, RDS, etc.) and have experience working with cloud-based data platforms
  • You're skilled at taking requirements and designing adaptable data models and pipelines
  • You're excited about showcasing your skills, learning new technologies, and growing your career

What We Offer

* A dynamic and collaborative work environment with a team of experienced data engineers and scientists

  • Opportunities to work on high-impact projects that drive business outcomes and shape the future of arenaflex
  • A comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off
  • Professional development opportunities, including training, mentorship, and career growth
  • A fun and inclusive company culture that values diversity, equity, and inclusion

How to Apply

If you're passionate about data engineering and want to join a team that's shaping the future of entertainment and media, we encourage you to apply. Please submit your resume and a cover letter explaining why you're the perfect fit for this role. We can't wait to hear from you! Apply Now! arenaflex is an equal opportunity employer. We value diversity and encourage individuals from all backgrounds to apply. Apply for this job

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