Apple's Insight Analytics Engineering team needs to design and maintain enterprise-scale data pipelines and real-time analytics platforms that process petabytes of data daily to support various business functions and enable data-driven decision making.
Requirements
- 8+ years of hands-on experience with data analytics in large scale volumes in Cloud environment AWS and GCP.
- Experience with Spark, SQL, Iceberg, Trino and Big Data systems and tools
- Programming skills in Scala, Java, Python, Jupyter Notebook
- Technical minded with the ability to learn new technologies
Responsibilities
- Design, develop and maintain robust pipelines to support various LOBs analytics needs in multi-petabyte cloud environment.
- Perform in-depth analysis on our Analytics platform to help solve hard business questions.
- Developing maintain data models and architecture to support analytics reporting.
- Work side by side with exceptional people that run, optimize and scale our environment and help to tell relevant stories with data.
- Stay ahead of the latest trends and technologies in data analytics, and cloud computing
- Perform complex data analytics in new and innovative ways and demonstrating your creativity to go beyond current tools to deliver amazing solutions.
- Work with high degree of independence, but supported by a broad technical team
Other
- Bachelors/Masters in technical field (math, statistics, engineering, computer science, analytics, or similar)
- Ability to work with various multi-functional teams to gather input and provide guidance
- Ability to present information to peers and senior management
- Ability to bring creative, simple and logical approaches to complex problems
- Your rock solid integrity, teamwork and ability to work independently are valued and encouraged. Having the ability to quantify your decisions, critical thinking and using your gut instinct are all key qualities that make our Analytics Team successful and fun!
