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Senior Data Engineer - Big Data (Apache/AWS) - Multiple Locations, Austria

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AI Summary

Manage and optimize big data platform in AWS cloud. Maintain services like Kafka, Flink, NiFi, and DynamoDB. Advise on data platform services. Ensure high system availability with 24/7 on-call duty. Experience in Cloudera and AWS required.

Key Highlights
Manage big data platform in AWS cloud
Maintain and update services like Kafka, Flink, NiFi, and DynamoDB
Advise on data platform services for business use cases
Ensure high system availability with 24/7 on-call duty
Key Responsibilities
Administrate, monitor and optimize our big data platform in AWS cloud
Manage and maintain services in Cloudera on-cloud PaaS & AWS-native like Kafka, Flink, NiFi, Iceberg Tables & DynamoDB
IaaC deployment in AWS cloud via Terraform & ArgoCD
Update, upgrade & incident management of all platform components
Advise our data platform developers on the selection of data platform services for business use cases
3rd level support through monitoring, error analysis and troubleshooting to ensure a highly available system (incl. on-call duty 7 × 24 h)
Support workload optimization (e.g. Flink job memory management, Impala/Trino query optimization)
Evaluation and implementation of cloud native services according to our system architecture
Technical Skills Required
AWS Cloudera Big Data
Benefits & Perks
Permanent position in a renowned IT company
Attractive working environment: Homeoffice, flexible working hours, individual training, family-friendly company, ergonomic workplace, top hardware and much more
Additional day off on your birthday, parking spaces or good public transport connections, relocation support, meal allowance or company restaurant, community events, various benefits, company doctor, etc.

Job Description


Have you always wanted to work in a successful IT company? Then take advantage of your chance:

JOB WORLD GmbH is a partner of the leading IT companies in Austria. We offer dedicated Data Engineer "Big Data" (Apache/AWS) (all genders)top access to interesting IT jobs.

We are looking for ***DIRECT EMPLOYMENT*** for a renowned IT company


Data Engineer "Big Data" (Apache/AWS) (all genders)

für Wien, Linz, Wels, Salzburg, Graz, St. Pölten

Aufgaben:


  • Administrate, monitor and optimize our big data platform in AWS cloud
  • Manage and maintain services in Cloudera on-cloud PaaS & AWS-native like Kafka, Flink, NiFi, Iceberg Tables & DynamoDB
  • IaaC deployment in AWS cloud via Terraform & ArgoCD
  • Update, upgrade & incident management of all platform components
  • Advise our data platform developers on the selection of data platform services for business use cases
  • 3rd level support through monitoring, error analysis and troubleshooting to ensure a highly available system (incl. on-call duty 7 × 24 h)
  • Support workload optimization (e.g. Flink job memory management, Impala/Trino query optimization)
  • Evaluation and implementation of cloud native services according to our system architecture


Ihr Profil:


  • Technical education (Computer Science HTL, Computer Science Degree, Data Science etc.)
  • Technical education (computer science studies, etc.)
  • At least 3-5 years experience in Cloudera environments. Migration to AWS
  • Experience in Kubernetes and in system administration of Linux systems
  • Expertise in building and operating Big Data environments based on Cloudera clusters


Wir bieten:


  • Permanent position in a renowned IT company
  • Explicit willingness to overpay: The annual gross salary is at least € 70.000,- (full-time) depending on qualifications and experience
  • Our technology: Using state-of-the-art technologies is part of our mission
  • Modern company: Constantly growing company, flat hierarchies, self-organized teams and agile way of working
  • Attractive working environment: Homeoffice, flexible working hours, individual training, family-friendly company, ergonomic workplace, top hardware and much more
  • Your personal benefits: Additional day off on your birthday, parking spaces or good public transport connections, relocation support, meal allowance or company restaurant, community events, various benefits, company doctor, etc.



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