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Job details
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NATURE OF JOB
Hybrid — WFH / WFO / CW
- CATEGORY Programming
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SALARY RANGE
Best in the industry Annual
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EXPERIENCE
1 – 3 Years
- JOB TYPE Full Time
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REGIONAL PREFRENCES
India
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NO. OF VACANCIES
1
Job description
Summary
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Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
Apple’s Applied Machine Learning team has built systems for a number of large-scale data science applications. We work on many high-impact projects that serve various Apple lines of business. We use the latest in open source technology and as committers on some of these projects, we are pushing the envelope. Working with multiple lines of business, we manage many streams of Apple-scale data. We bring it all together and extract the value. We do all this with an exceptional group of software engineers, data scientists, SRE devops engineers and managers.
Key Qualifications
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10 Years of Management experience leading team of engineers
Hands on manager who likes troubleshooting complex performance and scale problems
Excellent problem solving, critical thinking, and communication skills - Lead by example to motivate and challenge the team to deliver their best.
5+ years of experience in Hadoop based technologies - HDFS Yarn cluster administration, Hive, Spark
Strong Experience leading cross functional initiatives and thought leadership
Zoom in and zoom out to clear out ambiguity and set a clear path forward
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
Strong expertise in troubleshooting complex production issues.
The candidate should be adapt at prioritizing multiple issues in a high pressure environment
Should be able to understand complex architectures and be comfortable working with multiple teams
Ability to conduct performance analysis and troubleshoot large scale distributed systems
Should be highly proactive with a keen focus on improving uptime availability of our mission-critical services
Comfortable working in a fast paced environment while continuously evaluating emerging technologies
The position requires solid knowledge of secure coding practices and experience with the open source technologies.
Description
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We are seeking a hands-on Manager who has experience leading large Big Data environments spread across thousands of nodes and petabytes of data.
We look forward to a people manager with a background & experience that looks like this :
- Grown into leadership roles after proving technical skills in individual contributor roles but still enjoys hands on work when the situation calls for it.
- You have designed and built large data environments for availability, security and reliability.
- You keep yourself informed about the choices and trade off as the new technology evolves in big data landscape.
- You have an eye for talent and hire and grow your engineers by mentoring and challenging them.
- You will collaborate across many teams to deliver on projects related to big data platform and data pipeline and provide SRE support for reliability of these managed services.
- You will have significant opportunity to influence and shape our big data platform strategy and data products as we work on the next generation of our architecture, platform and processes.
Education & Experience
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BS degree in computer science or equivalent field
Additional Requirements
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Experience with running infrastructure in AWS and Kubernetes
Experience building and operating large scale hadoop spark kafka 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.
Exeprience in Capacity management on multi tenant hadoop cluster
Exeprience in Workflow and data pipeline orchestration (Airflow,Oozie,Jenkins etc.)
Experience in jupyter based notebook infrastructure.
Role Number: 200207060
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