3 days old

Senior Hadoop Engineer/Administrator Job

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Senior Hadoop Engineer/Administrator Job

Senior Hadoop Engineer/Administrator Job

Date: Jul 11, 2018

City: South San Francisco, CA, US

Company: SAP

Requisition ID: 166109
Work Area: Software-Development Operations
Expected Travel: 0 - 20%
Career Status: Professional
Employment Type: Regular Full Time


As market leader in enterprise application software, SAP helps companies of all sizes and industries innovate through simplification. From the back office to the boardroom, warehouse to storefront, on premise to cloud, desktop to mobile device – SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition. SAP applications and services enable customers to operate profitably, adapt continuously, and grow sustainably.

Want to work in Hybrid Cloud? Want to work in the biggest big data deployment within SAP? Do you like breaking down problems and finding solutions? Do you like engaging with as much technology (hardware, software, operating systems, containers, network, code) as you can?


This is your chance to work in the big data space with trillions of records. SAP is seeking Senior Application Operations Engineer to join our HCM Central Operations organization.


•    Work in an agile environment to manage and operationalize multi datacenter (MDC) Hortonworks Hadoop deployment with main components HDFS, MapReduce2, YARN, Tez, Hive, NiFi, Kafka, Zookeeper.
•    Optimize and tune the MDC Hadoop deployments to meet the performance requirements. 
•    Troubleshoot complex operational issues in MDC Hadoop deployments.
•    Collaborate with release and engineering teams to ensure requirements and enhancement goals are met for Operations.
•    Participate in architecture design and review to drive continuous service improvements.
•    Participate in Capacity Planning and ensure scalability of the Cloud environments.
•    Drive performance issues out of Operations, in collaboration with various internal organizations.
•    Identify and correct issues that have resulted from integrations, customizations, and migrations.
•    Work with and enhance tools, operational processes and knowledge centers to ensure smooth and consistent operations.



•    4+ years of equivalent professional experience in Java/J2EE or Python based. application developing, troubleshooting, and supporting enterprise application.
•    2+ years hands-on experience in managing, monitoring, troubleshooting and scaling Hortonworks HDP/HDF Hadoop distributions or any other Hadoop Platforms.
•    Experience working with Kerberos in Hadoop clusters.
•    Exposure to Operation Intelligence and experience with tools like Splunk and ElasticSearch. 
•    Experience with public cloud, as such as AWS and Microsoft Azure is a plus.
•    Knowledge of Apache NiFi is preferred.
•    Experience in machine learning using Hadoop is a plus.
•    Knowledge of ServiceNow, Zabbix is a preferred.
•    Knowledge of Docker and Kubernetes is a plus.
•    Knowledge of Chef, Puppet is a plus.
•    Strong interpersonal, communication and writing skills. 
•    Ability to handle multiple projects simultaneously, meet deadlines, while effectively managing priorities and communicating progress. 


To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.

SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team (Americas: or , APJ: , EMEA: ). Requests for reasonable accommodation will be considered on a case-by-case basis.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.

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