Senior Database Engineer(Elastic / Mongo / Hadoop)

Senior Database Engineer(Elastic / Mongo / Hadoop)

Senior Database Engineer(Elastic / Mongo / Hadoop)

Workplace Type : Remote - Region :

San Francisco, CA

Job Description

• Must have experience with MongoDB installations, upgrades, support on MongoDB
• Responsible for administration, maintenance, Performance analysis, and Capacity planning for Mongo dB / Elastic / Hadoop clusters.
• Coordinate and plan with Application teams on Mongodb capacity planning for new applications.
• Should have knowledge of using mongo base tools - like mongodump , mongoexport ,mongorestore, mongoimport , mongostat , mongotop
• Must be well-versed with JSON scripting , writing queries in mongo in shell scripts and in the mongo shell
• Should be able to support sharded clusters and perform upgrades and other config maintenance on sharded clusters
• Must be able to address , monitor and manage capacity requirements - all aspects CPU , memory and storage .
• Must be able to assist application teams with assessment and / or resolution of performance bottlenecks observed in the MongoDB Database tier of their stack
• Must be aware of different authentication / authorization methods used in Mongo - SCRAM-SHA1 , X509 , LDAP - including reconfiguration of instances with TLS / SSL and / or LDAP
• Candidate must also be able to develop automated solutions for ad-hoc script execution requests, ad-hoc report generation, upgrades , installs
• Experienced in NoSQL DB technologies
• Must be aware of how to use Cloud manager and share relevant metrics for a given deployment when an issue arises
• Must have experience with docker, deploying Mongo containers running on docker and supporting all aspects of MongoDB administration needs within a docker container
• Knowledge of administration and support of Hadoop systems will be an added advance.
• Deploy Hadoop(Bigdata) cluster, Comm / decommissioning of nodes, track jobs, monitor services like zookeeper, hbase, SOLR indexing, configure name-node HA, schedule, configuring backups & restore
• To develop script to review logs and alert us in case of long running queries.
• Demonstrable expertise (deployment, use) in some of the following data storage technologies : Postgres / MySQL (“on-prem”, RDS, Aurora), Kafka / Kinesis (“on-prem” or managed),
• Strong scripting experience with Python (preferred), and Shell (secondary).
• Individually build services, and expose internal APIs for these services that allow other teams, and workflows to use data infrastructure automation components.

Required Skills

Core Responsibilities

#J-18808-Ljbffr