HomeApple | Jobs | Big Data Reliability Engineer | BigDataKB.com | 08-02-22
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Apple | Jobs | Big Data Reliability Engineer | BigDataKB.com | 08-02-22

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Job Location: Hyderābād

Summary

Posted: Feb 7, 2022
Role Number: 200339967
People at Apple don’t just build products — they craft the kind of experience that has revolutionised entire industries. The diverse collection of our people and their ideas encourage innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple. Do you want to be part of a team that builds cutting edge software service, a team that is continually innovating and is proud of making a difference? If so, bring your passion and talent and come join us to be part of something big and amazing. Apple’s IS&T team is looking for highly motivated and Big Data DevOps/Site Reliability Engineers (SRE) to build the next generation of software services that powers several critical applications.

Key Qualifications

  • Hadoop SRE Experience – Manage HDFS, YARN, HIVE.
  • Experience in managing Kafka-based data-pipelines / Spark Jobs / Airflow DAGs / Jupyter Notebooks.
  • Experience in managing/deploying application on thousands of nodes across multiple Data-centers using configuration management tool (such as SaltStack, Ansible etc.)
  • Experience managing Hadoop/YARN clusters with thousands of nodes and 10’s of petabytes of data running 10’s of thousands of jobs
  • Have a passion for automation by creating tools using Python, Java or other JVM languages
  • Excellent troubleshooting, problem solving, critical thinking, and communication skills
  • Good understanding of Unix/Linux based operating system. Proficient in unix, command-line tools, and general system debugging

Description

You like to automate anything you do and document it for the benefit of others. You are an independent problem-solver who is self-directed and capable of exhibiting deftness to handle multiple simultaneous competing priorities and deliver solutions in a timely manner. Provide incident resolution for all technical production issues. Create and maintain accurate, up-to-date documentation reflecting configuration, and responsible for writing justifications, training users in complex topics, writing status reports, documenting procedures, and interacting with other Apple staff and management. Provide guidance to improve the stability, security, efficiency and scalability of systems. Determine future needs for capacity and investigate new products and/or features. Strong troubleshooting ability will be used daily; will take steps on their own to isolate issues and resolve root cause through investigative analysis in environments where the candidate has little knowledge/experience/documentation. Administer and ensure the proper execution of the backup systems. Provide 24×7 on-call support to handle urgent critical issues.

Education & Experience

Additional Requirements

  • Experience with Kubernetes or other container orchestration framework.
  • Experience building and operating large scale Hadoop/Spark data infrastructure used for machine learning in a production environment
  • Experience in tuning complex hive and spark queries
  • Expertise in debugging Hadoop/Spark/Hive issues using Namenode, Datanode, Nodemanager, spark executor logs.
  • Experience in Capacity management on multi tenant Hadoop cluster
  • Experience in Workflow and data pipeline orchestration (Airflow, Oozie, Jenkins etc.)
  • Experience in Jupyter based notebook infrastructure.

Apply Here

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