Big Data Platform Engineer

Big data experience is must

Number of positions 3

Location – Anywhere in India – Remote

Shift timing – Rotational Shift (EST, PST, UK Shift)

Glider test - Yes

Summary

People at Apple don’t just build products — they craft the kind of experience that have revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple and help us leave the world better than we found it. The Apple Services Engineering (ASE) organization builds and provides systems and infrastructure that fuel Apple’s services (such as iCloud, iTunes, Siri, and Maps). We are the foundation on which Apple’s software developers build the products that our customers love. We are looking for passionate and dedicated Site Reliability Engineers to continue our focus on providing our customers the highest quality Apple Services experience. Our services must scale globally, stay highly available, and "just work.” If you love designing, engineering and running systems and infrastructure that will help millions of customers, then this is the place for you.

Description

Apple Cloud Services infrastructure is planetary scale. Data Platform Site Reliability Engineering manages infrastructure and applications on bare-metal and cloud computing platforms to deliver data processing, governance, and storage for many of Apple’s global products and organizations. Our platform teams work with exabytes of data, terabytes of memory, and hundreds of thousands of jobs running millions of executions to support predicable and performant data analytics enabling features in Apple Music, TV, Maps, News, and other world class products. Ensuring all of these technologies in geographically distributed data centres and platforms work together in harmony presents unique challenges. As an SRE at Apple, you’ll need to solve problems that arise using empirical data, teamwork, and your own unique expertise. Data Platform Services SRE work directly with our partner engineering teams in an embedded SRE model, operating in unison with the developers to deliver seamless experiences for our customers. We run a combination of open source, vendor licensed, and internally developed tools which you will use and have opportunities to improve upon. The cross functional team collaborates to ensure we apply a consistent incident management process across all data platform services and provide user journey based SLOs derived from exhaustive observability metrics, high availability architecture, and automation for deployments. We think critically and strive to balance the best solution with the need to get things done for each engineering challenge we face.

Must Have skills:

• Strong Kubernetes
• Understanding of Python (ability to do basic coding)
• Experience in Linux systems and supporting them.
• Experience in Big Data platforms (Apache Spark, Flink, AirFlow, Hive, Hadoop/HDFS, Trino, Druid, or related software).
• Experience in Apache Spark is a huge bonus
• Experience handling 24x7 on-call support

Nice to have Skills

• Understanding of Java coding
• Pulumi

Must have exp.

• Min total Experience -5+ years
• Min relevant experience -5+ years – Big Data
• Min education qualification -bachelor’s in computer science