Data Services Operations Engineer | LinkedIn | Mountain View, California
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Job description
Data Services Operations Engineer-Mountain View, CALinkedIn is a deeply data-driven company with data driving not only business decisions but also product features and direction. Data is embedded in the LinkedIn DNA. The Data Services team is responsible for building and maintaining the infrastructure that makes this data available and accessible to the entire company. The team works closely with Data scientists, Product Managers, Executives and other key parts of the business to understand their data requirements and build appropriate systems that meet or exceed those needs.
The Data Services team is looking for someone with a background in Data Warehouse Operations that has managed and administered multi-petabyte data warehouse deployments and is open to working with and learning cutting-edge technologies in this space. This is a mission-critical role that ensures that our complex data warehouse/pipeline and related services are healthy, monitored, automated, and designed to scale.
Responsibilities:
• Serve as a primary point responsible the overall health, performance and capacity of our back-end Hadoop based data warehouse environment
• Gain deep knowledge of our complex applications and data pipeline by working hands on with the engineer
• Develop tools to improve our ability monitor our application and system environment
• Perform the “Root cause analysis” of any identified issues
• Work closely with development teams to ensure that platforms are designed with "operability" in mind
• Participate in a 12x7 on-call rotation
Required Experience:
• Deep UNIX/Linux systems knowledge and/or systems administration background
• Demonstrated programming skills in one or more of: Bash/Shell, Python, Perl, and automation
• Understanding of large-scale data processing technologies like PIG, Map/Reduce, Hadoop
• Working knowledge of databases including abilities to write/tune SQL queries
• Bachelor’s Degree in Computer Science or related field
• 2-3 years in a UNIX-based technical operations role – ideally in a large scale data warehouse environment
http://www.linkedin.com/jobs2/view/18036774?trk=jserp_job_details_text
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