Platform Operations/SRE (Hadoop) - Sunnyvale, CA, US

Location:
Sunnyvale, CA, US
Employee Type:
Contractor
Posting ID:
6302649
Pay Rate:
$45.00 - $80.00 /Hour

Job Summary



1. 3+ years of Python programming experience
2. Experience debugging and troubleshooting Hadoop/Spark jobs. 
This person needs to understand how to launch and troubleshoot jobs in their big data pipeline
3. Experience monitoring with Splunk and Linux Systems.

Experience with Docker is a plus 

We are seeking a Mid-Sr. level Site Reliability/Platform Operations Engineer to join our clients' core 
maps data store. This person will be dealing with day to day operations of the data store service 
which supports backend operations for Maps team. 
The ideal candidate will need to have the following experience - 
- 3+ years of Python programming experience; able to read and write advanced scripts that automate
 big data pipeline jobs
- Develop tools to automate repetitive tasks and monitoring 
- Experience with maintenance of big data ecosystems and infrastructure; optimize and troubleshoot 
various jobs in Spark, Oozie, MapReduce, HDFS, etc. 
- Monitor, troubleshoot, and analyze deployments in Splunk. 
- Create Splunk dashboards for analysis
- Experience troubleshooting Linux systems and Bash scripts

This team at Apple Maps is responsible for site reliability and platform operations for applications 
that run on top of the big data infrastructure. This includes HDFS, Spark, Oozie, MapReduce, Kafka, 
etc. There is another team that is in charge of operations from an infrastructure standpoint


Name:
Cody Koelzer
Phone:
ckoelzer@teksystems.com

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