Effizienter und flinker Cloud DevOps / Big Data Engineer

1/2020 – offen

- Technical Lead of solution team of Big Data Operations engineers, people enablement, resource planning.
- Technical Lead of cloud migration solution team from on-prem Big Data Ingest Pipelines
- Conception, planning, development, implementation and management assistance for internal projects (Jira & Confluence)
- Co-development of bash scripts for configuration management & distribution, user management & automation unter RHEL 7 & 8
- Management of monitoring (ICINGA) & automation initiatives (Jenkins & Ansible)
- Co-Development & support of big data developers and business analysts in the implementation of big data use cases, Hadoop applications and ETL pipelines
- Support in change management and project management activities ( ServiceNow & Atlassian )
- Administration & user support of the CDH clusters, Talend Administration Center instances, phpLDAPAdmin, IAM GUI, Git & JFrog
- QA & Expansion of Big Data Wikis & Documentation (Confluence)

Big Data, Confluence, Jenkins, Jira, Microsoft Azure

3/2019 – 12/2019

- Operations management in the area:
- VSphere (SLES 12 & 15 VMs)
- Big Data (HDP & HDF)
- Private and public cloud management (Azure & OpenNebula)
- Configuration & patch management through Suse Manager for SAP systems on SLES

- Conception, planning, development, implementation and management assistance for internal projects & consulting activities
- Development of scripts for configuration management, administration, monitoring & automation under SLES, Suse Manager & Ansible on Azure
- Daily Big Data & Unix engineering operations using
- Microsoft Teams & OTRS Tickets
- QA & expansion of big data wikis & documentation (Confluence)

Big Data, OpenSuse, SAP Basis Administration (BC), Ansible, Microsoft Azure

1/2018 – 2/2019

- Planung & Betrieb des Hadoop Platforms (HDP 2.5) & Komponenten für Produktion- und Sandboxclusters
- Zusammenarbeit und Implementierung von Upgrades für Big Data-Sandbox- und Produktionsclusters in der Datacenter-Infrastruktur und HDP
- Tägliche Unix-Engineering Betriebstätigkeiten mittels Jira & BMC Remedy Tickets & Workorders
- Analyse, Fehlerbehebung, Überwachung und Alarmverwaltung von Big Data Clusterserver und HDP-Komponenten (Ambari, MR2, HDFS, Hive, Spark, HBase, Kafka, YARN, Ranger, Knox, Kerberos usw.), Hardware und Betriebssystem (Oracle Linux 7)
- Unterstützung der Data - Scientists und Entwicklerteams (DevOps) bei der Implementierung von Big Data Use Cases (Scrum & Kanban)
- Ressourcenmanagement & Leistungsoptimierung (Smartsense)
- QA & Erweiterung der Big Data-Wikis & Dokumentation (Confluence - Sharepoint)
Hutchinson Drei Austria GmbH, Wien, Österreich

Big Data, DevOps (allg.), Systems Engineering