2,082 jobs for "Data Platform Engineer"

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At Apple, we work every day to create products that enrich people's lives. Apple Ads makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads, App Store, and Apple News. Our platforms are highly performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy.

Description
Apple Ads Team is seeking a Software Engineer with a passion for data engineering and building large-scale data pipelines. We are looking for someone who is eager to build high-performing, scalable, well-designed back-end systems that are the foundation for critical internal and customer-facing platforms at Apple.","responsibilities":"Apple Ads Engineering team is a diverse, global, agile engineering team that moves smart and fast by consuming and optimizing readily available technology. In this role, you will contribute to the design and development of robust big data pipelines, helping ensure efficient data exposure to consumers. This role calls for a passion for learning and applying data technologies to elevate our platform. You'll work closely with senior engineers and diverse stakeholders, building your ability to communicate data concepts clearly. You will take ownership of well-scoped projects and features end to end, growing into broader technical ownership over time. If you're ready to grow as a data engineer and help solve complex challenges while adhering to Apple's privacy commitments, we encourage you to apply.

Preferred Qualifications
BS in Computer Science or equivalent degree
Exposure to Flink or other stream-processing frameworks
Exposure to building Pub/Sub mechanisms for message flow
Exposure to applied machine learning, analytics, or business intelligence is a plus
Commitment to developing high-quality software and products
Curiosity to explore and understand data is a strong plus

Minimum Qualifications
3-10 years of experience in software development in a Java/Linux environment, including hands-on experience building data services or pipelines
Proficient in Data Engineering concepts across batch and/or streaming
Solid hands-on experience with Spark or similar distributed data processing frameworks
Strong programming skills in Java or Scala
Experience with Cloud Services like EKS, Kubernetes, etc.
Ability to automate manual tasks to achieve efficiency
Experience with one or more databases such as MySQL, Postgres, Oracle, Snowflake, Cassandra, etc.
Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
A desire to work in a fast-paced and challenging work environment

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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