TripAdvisor is hiring a

Senior DevOps Engineer - Data Warehouse

Needham, United States

TripAdvisor, the world’s largest travel site, operates at scale with over 760 million reviews, opinions, photos, and videos reaching over 490 million unique visitors each month.  We are a data driven company, and we have lots and lots of data! 

The Data Warehouse team at TripAdvisor is responsible for maintaining the petabyte-scale data lake, and we are looking for the right dev-ops engineer to help us take it to the next level. 

The ideal candidate will have hands-on and operational experience with Big Data technology. Our technology stack is a hybrid of open-source Hadoop/CDH cloud and house-built distributed platforms to help drive the analytics of the company. We’re also increasing our footprint on AWS and designing new platforms that integrate our on-prem environments with those. A successful engineer will need to be able to solve problems in a complex and distributed environment, as well as communicate and interact with other teams and engineers. 

What you will be doing:

  • Writing code! This is an engineering role, after all.
  • Working with a team of engineers to identify and improve upon the operational deficiencies of modern Big Data systems. 
  • Using your expertise to help scale a multi-datacenter analytics platform.
  • Jumping head-first into complex code to implement solutions to operational shortcomings.
  • Leading engineering best practices, especially those surrounding build systems and development environments.
  • Moving quickly to create today’s solutions. 

What you will bring to the team:

  • 5+ years of Dev-Ops experience
  • 5+ years of in-depth technical experience with Big Data technologies such as Hadoop, Hive, Presto, Kafka, or Spark
  • Proven experience with Amazon Web Services technology, including S3, EMR, Glue, and Athena
  • Familiarity with the Linux operating system and Bash shell
  • Familiarity with build systems such as Jenkins
  • General software engineering expertise; Most of our codebase is in Java, but we have a lot of Kotlin, Python, and Shell code as well. 
  • Ability to communicate effectively in an operations environment
  • Willingness to "get your hands dirty" with Big Data



 

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