Join a modern software company operating a cloud-based data platform and take responsibility for administering, monitoring, and optimizing a big data environment in AWS. You will work with cutting-edge technologies like Kafka, Flink, NiFi, and DynamoDB while ensuring high availability through 3rd-level support and on-call duty.

Your responsibilities:

Administer, monitor, and optimize a big data platform in the AWS cloud
Manage and maintain Cloudera on-cloud PaaS services and AWS-native technologies (e.g., Kafka, Flink, NiFi, Iceberg Tables, DynamoDB)
Deploy and automate infrastructure in AWS using Terraform and ArgoCD
Perform updates, upgrades, and incident management for platform components
Advise developers on selecting suitable services for business use cases
Provide 3rd-level support, including error analysis, troubleshooting, and on-call duty to ensure system availability
Optimize workloads (e.g., Flink job memory management, Impala/Trino query tuning)
Evaluate and implement cloud-native services in line with system architecture

Your profile:

Strong Linux and Hadoop ecosystem knowledge (HDFS, Zookeeper, Yarn, Impala, Spark, Kafka)
Experience with automation tools like Terraform
Programming skills in Spark, Python, and ideally knowledge of Cloudera services (e.g., Hue, Knox, Ranger RAZ, Streams Messaging Manager, NiFi, Kudu)
Experience with on-call duty, troubleshooting, and rolling restarts is beneficial
Kubernetes experience is a strong advantage
Team-player mindset

What to expect:

Hybrid working model with flexible working hours
Personal training and development opportunities
Work with modern cloud and big data technologies in a collaborative environment
Meal allowance, free drinks, and fruit
Health initiatives and company pension benefits
Team events and professional exchange in engineering communities
Good transport connections, parking options, and relocation support where applicable

Senior Data Platform Engineer