Senior Data Services Operations Engineer
Bengaluru Area, India, IN - Internet, Information Technology and Services
Senior Data Services Operations Engineer
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LinkedIn 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 strong 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 data 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 /mysql/Teradata based data warehouse environment
· Partner with data-engineering, program management, site reliability operations, and other related groups.
· 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
Basic Qualifications:
· Deep UNIX/Linux systems knowledge and/or systems administration background
· Strong trouble-shooting skills that span systems, network, and application
· Demonstrated programming skills in one or more: Python, Java
· Good experience in implementing monitoring solutions and automating processes.
· Prior experience in a technical operations role – ideally in a large scale data warehouse environment
· Understanding of large-scale data processing technologies like Hive,PIG, Map/Reduce.
· Bachelor’s Degree in Computer Science or related field, Master’s Degree preferred.
Preferred Qualifications:
· 3+ years in a UNIX-based web operations role
· Experience working in large-scale data warehousing environment.
Good experience working with databases including abilities to write/tune SQL queries
Python experience, specifically for systems automation
No salary provided
Posted June 22, 2015 at 12:05AM from LinkedIn http://ift.tt/1JdkBcP
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