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TRCI-26-05377
Production OPS Linux & Big Data Engineer (Cloudera/Kafka/Talend)
Production/OPS-oriented Linux/Unix expert to run and support Data/Big Data and Data/AI platforms in production (MCO), providing L2/N2 support and integrating solutions under security and IS architecture constraints. The role covers administering RedHat/CentOS environments, installing/configuring/maintaining Big Data clusters (Cloudera CDP, Hadoop ecosystem), supporting Data/AI projects (incl. Azure Databricks and Terraform), and being autonomous on Cloudera/Kafka/Talend cluster installations in an Agile/DevOps context (occasional remote, Niort, contract).
Position summary
- Location
- France
- Workplace
- On-site
- Employment
- Contract
- Experience
- Minimum 7 years and Maximum 15 years
Role overview
Why This Role Matters.
Production/OPS-oriented Linux/Unix expert to run and support Data/Big Data and Data/AI platforms in production (MCO), providing L2/N2 support and integrating solutions under security and IS architecture constraints. The role covers administering RedHat/CentOS environments, installing/configuring/maintaining Big Data clusters (Cloudera CDP, Hadoop ecosystem), supporting Data/AI projects (incl. Azure Databricks and Terraform), and being autonomous on Cloudera/Kafka/Talend cluster installations in an Agile/DevOps context (occasional remote, Niort, contract).
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
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Contribute to IT projects on the dimensions that fall within the Data/AI field of expertise.
03
Ensure operability in compliance with the security and architecture rules of the COVEA IS.
04
Guarantee the relevance and sustainability of the technical and/or functional solutions for which you will be responsible in order to allow the evolution and maintenance in operational condition of the solution.
05
Ensure that the means of measuring the quality of services are operational and available (Quantification/Operational Quality)
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System/OS/API/Authentic.: Linux/Unix (RedHat, CentOS), IDM, Active Directory, Apache Knox, Kerberos and Vault.
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AI: Azure Databricks (Data Factory, Monitor, Backup, Log Analytics), Terraform.
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Big Data: Hadoop Eco system (Kafka, Solr, Hbase, Hive, Spark), Cloudera CDP (Sentry/Ranger, Kudu, Impala), Starburst and Talend.
09
LINUX expert with 7 years of experience at the L2 Admin level in a Production context.
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If the resource has additional technical skills on managing ELK and Kibana logs, this will be a plus in the application. Knowledge of the Agile and DevOps methodology is required to carry out the various missions.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Linux
Required
02
Unix
Required
03
RedHat
Required
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RHEL
Required
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CentOS
Required
06
Production
Required
07
OPS
Required
08
MCO
Required
09
Run
Required
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L2
Required
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N2
Required
12
Cloudera
Required
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CDP
Required
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Hadoop
Required
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Kafka
Required
16
Spark
Required
17
Hive
Required
18
HBase
Required
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Solr
Required
20
Impala
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Linux/Unix production administration (RedHat, CentOS)
L2/N2 production support (MCO / run / operations)
Installation, configuration and maintenance of Data/Big Data clusters
Cloudera CDP administration and/or installation (incl. components like Ranger/Sentry, Kudu, Impala)
Hadoop ecosystem knowledge (e.g., Hive, Spark, HBase, Solr)
Kafka installation/administration
Talend installation/administration
Security/authentication integration: Kerberos, Apache Knox, Vault
Identity management integration: Active Directory (IDM/AD)
Agile and DevOps ways of working
Preferred
Nice to Have
Azure Databricks (and related services: Data Factory, Monitor, Backup, Log Analytics)
Terraform
Starburst
Databases: PostgreSQL, Oracle Exadata, MariaDB, MongoDB
ELK/Elastic Stack and Kibana log management
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Production OPS Linux & Big Data Engineer (Cloudera/Kafka/Talend)
One page, about two minutes. We only ask for what we actually need to have a first conversation.