Data Analytics Engineer - Apple Services Engineering

Cupertino, CA, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Analysis
  • Innovation
  • Data Engineering
  • Strategic Management
  • Scripting
  • SAP BASIS
  • Leadership
  • Analytical Skill
  • Privacy
  • Collaboration
  • Computer Science
  • Analytics
  • Data Processing
  • Apache Flink
  • Scala
  • Java
  • Big Data
  • Apache Hadoop
  • HDFS
  • Apache Spark
  • SQL
  • Apache Kafka
  • Kubernetes
  • Apache Cassandra
  • Software Engineering
  • Algorithms
  • Data Structure
  • Management
  • Functional Requirements
  • Communication

Summary

Gaming is a massive and rapidly growing part of the Apple ecosystem, bringing joy to hundreds of millions of players across all Apple devices. The Apple Games App is at the forefront of this experience, designed to connect players with incredible games, foster communities, and empower developers to build the next generation of interactive entertainment. We believe we are just getting started in redefining the gaming landscape.\\n\\nWe are seeking a software data engineer to join the Apple Games App Data Engineering team. In this role, you will help deliver an unparalleled gaming experience and improve the platform every day for both players and game developers by generating insights from data in a privacy-friendly manner. We enable data-driven innovation by building solutions, services, and analytical workloads for a variety of internal collaborators and external gaming partners. In a world where gaming has become a central pillar of digital entertainment, the Apple Games team is essential to Apple's business.\\n

As a member of the Apple Games App Data Engineering team, you will have significant responsibility and influence in shaping its strategic direction. This is a software engineering position. We write robust code, not just ad-hoc scripts. Our software processes dozens of terabytes of gaming and player engagement data on a daily basis. Our jobs and applications must be efficient, scalable, and stable.\n\nAlthough we write software, data is our main product and first-class citizen. We care about accurate and qualitative data as much as we care about fine, clean, and manageable code. The data we produce powers Apple leadership and our game developer partners with insights about player behavior, new innovations, and the next big things in gaming. You will play a key role in developing analytics solutions tailored specifically for game developers, leveraging your knowledge of the third-party gaming analytics ecosystem to help build best-in-class tools.\n\nTo succeed here you will need to be a proponent of building world-class analytical solutions. To be a part of the team means we will want your ideas, concerns, and opinions in our discussions. We are highly collaborative. You will collaborate closely with engineering, product, and partner organizations. Privacy is a foundational engineering requirement in everything we build, and our solutions are designed to comply with Apple's privacy principles from the ground up. Our team is small and focused, where engineers work across a broad range of problems.\n

Bachelor's Degree in Computer Science, Engineering, or equivalent related experience\nExperience building analytics and data solutions specifically for game developers.\nFamiliarity with third-party analytics tools and platforms used in the gaming industry.\n5+ years of hands-on experience building distributed data processing applications using Apache Spark or Apache Flink.\n5+ years of programming experience in Scala (preferred) or Java.\nExperience with Big data: Hadoop, HDFS, Spark, SQL, Kafka.\nProven skills in designing scalable, highly available distributed systems using technologies like Kafka, Iceberg, Kubernetes, Airflow, and Cassandra.

Good understanding of software engineering principles and fundamentals including algorithms and data structures.\nSelf-directed, self-motivated, and ability to create architecture and design documents.\nAbility to capture cross-functional requirements and translate them into practical engineering tasks.\nExcellent communication skills and proven ability to work in a cross-functional environment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 67521dd381bd3e019d2bcc4abf68025
  • Posted 5 hours ago
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