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DevOps Engineer – Experience with AWS Data Lake – Remote MAX. 65€ / Hour

Original title: DevOps Engineer – !! Erfahrung mit AWS Data Lake !!! – Remote MAX. 65€ / Stunde (m/w/d)

Westhouse Group · REMOTE, Germany · Remote · Senior

  • REMOTE, Germany · Remote
  • 12 Monate + Option
  • German · English

Indexed (8 days ago) · refreshed constantly

Start
20 October 2026
Duration
12 Monate + Option
Work mode
Remote
Contract
Freelance / B2B
Seniority
Senior
Reference
180601

Required skills

Nice to have:Cloudera Data PlatformCloudera Data WarehouseCloudera Data EngineeringCloudera AIDremio LakehouseTerraformHelmPythonBash

Languages: German · English

Job description

Seeking a remote DevOps Engineer with experience in AWS Data Lake, Kubernetes, and Apache Hive for a 12-month contract with potential for extension. The role involves administration, support, and automation of cloud infrastructure.

Project overview

Westhouse is one of the leading recruitment companies for the placement of highly qualified specialists from the entire IT lifecycle and engineering sector.

We are currently looking for a

DevOps Engineer – Experience with AWS Data Lake – Remote MAX. 65€ / Hour – REMOTE

Framework Information

Your Qualifications

  • Reference: 180601
  • Start: 2026-10-20ASAP
  • Duration: 12 months + Option
  • Location: REMOTE
  • Scope of work: full-time
  • Languages: German + English
  • Sound knowledge of Apache Hive, Impala, Ranger, Iceberg, Hive Metastore, and Impala Catalog
  • Experience with AWS, especially S3-based Data Lakes, EKS, Auto Scaling Groups, Load Balancers, and AWS Policies
  • Knowledge of Kubernetes and the operation of cloud infrastructures

Responsibilities

Interested?

Interested? We look forward to receiving your comprehensive CV in electronic form.

Your Contacts

Mandy Granz

P: [contact removed]

E: [contact removed]

  • Administration and support of AWS EKS and Kubernetes clusters
  • Management of S3 buckets, access policies, and data lake connections
  • Operation and troubleshooting of Apache Hive, Impala, Iceberg, and Ranger
  • Monitoring of availability, performance, capacity, and security
  • Analysis and resolution of incidents in the AWS and Data Lake environment
  • Support with upgrades, maintenance, and lifecycle management
  • Automation of infrastructure and operational tasks, e.g., with Terraform, Helm, Python, and Bash

Nice to have

  • Cloudera Data Platform on the Cloud, Cloudera Data Warehouse, Cloudera Data Engineering, or Cloudera AI
  • Dremio Lakehouse

Project details

  • Start: 2026-10-20
  • Duration: 12 Monate + Option
  • Remote: remote
  • Location: REMOTE, DE
  • Languages: German, English

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