Azure Bigdata Admin

Role & responsibilities

Position Description
The usability of the implemented presentations
Application package expertise
The overall production schedule
Automation based on Cloudera CDP 71 based on Ansible and Terraform in a hybrid context of internal cloud and physical servers
Maintenance of production: resolution of customer tickets, infrastructure incidents, management of new requests from our beneficiaries, management of task forces presenting complex technical issues
Delivery of features that bring value to our beneficiaries involving infrastructure and/or infrastructure resource billing system upgrades
The implementation of tests of new components, their deployment in production and the updating of customer and/or internal documentation
Pilot support: The beneficiary wishes to improve the quality of the management of its IT systems As such, the beneficiary wishes to benefit from the Provider's expertise in terms of Technical Architecture
Completion of major upgrades of our components provided by Cloude
Be able to develop a close relationship with the Cloudera vendor as well as the team
Automation of administration and requests (self-service, APIs, scripts, production KPIs)

Required Skills:

• 6+ years of relevant Experience.
• Engineering graduate / MCA / Computer Science Graduate or PG
• Be able to develop a close relationship with the Cloudera vendor as well as the team
• Automation of administration and requests (self-service, APIs, scripts, production KPIs)

Preferred candidate profile

Primary Skills

Azure Automation with Java/Spring Boot /Microservice and Kubernetes
[strictly no Data Engineers]

Hadoop / Cloudera CDP 7.1
Infrastructure Automation: Ansible, Terraform
Kubernetes & DevOps
Hybrid infrastructure (cloud + physical servers)
Production support & incident management
Technical architecture & major platform upgrades

Secondary Skills

Azure Bigdata Admin [Spark, Kafka, Synapse] (secondary)

Automation (selfservice, APIs, scripts)
Infrastructure resource billing awareness
Testing & deployment of new components
Documentation (customer & internal)
Vendor coordination (Cloudera)
Production KPIs & operational monitoring