Job Description :
Job Summary:
Our client is seeking a solid Hadoop engineer focused on operations to administer/scale our clients multi-petabyte Hadoop clusters and the related services that go with it. This role focuses primarily on provisioning, ongoing capacity planning, monitoring, management of Hadoop platform and application/middleware that run on Hadoop.
- All about Application Tuning!
- Still need to understand the full Hadoop ecosystem to be able to Application tune
- Must have experience working in environment with at least 500+ Node Clusters to understand Hadoop complexities.
Job Description:
Hands on experience with managing production clusters (Hadoop, Kafka, Spark, more
Strong development/automation skills. Must be very comfortable with reading and writing Python and Java code.
Overall 10+ years with at least 5+ years of Hadoop/ Spark debugging experience in production, in medium to large clusters.
Tools-first mindset. You build tools for yourself and others to increase efficiency and to make hard or repetitive tasks easy and quick.
Experience with Configuration Management and automation.
Organized, focused on building, improving, resolving and delivering.
Good communicator in and across teams, taking the lead.
Key Qualifications:
Responsible for maintaining and scaling production Hadoop, Kafka, and Spark clusters.
Deep understanding of Hadoop/ Spark stack and hands on experience in resolving issues with Hadoop/Spark Jobs
Responsible for the implementation and ongoing administration of Hadoop infrastructure including monitoring, tuning and troubleshooting.
Provide hardware architectural guidance, plan and estimate cluster capacity, and create roadmaps for the Hadoop cluster deployment.
Able to support Shift plan with some odd hours coverage on a weekly basis
Triage production issues when they occur with other operational teams.
Conduct ongoing maintenance across our large scale deployments across the world.
Write automation code for managing large Big Data clusters
Work with development and QA teams to design Ingestion Pipelines, Integration APIs, and provide Hadoop ecosystem services
Participate in the occasional on-call rotation supporting the infrastructure.
Hands on to troubleshoot incidents, formulate theories and test hypothesis, and narrow down possibilities to find the root cause.
Education:
Bachelors or Master Degree in Computer Science or similar technical degree.
Additional Requirements:
- Familiarity with geo spatial data