Working with stakeholders to grow the amount and kinds of customer-defined targetings we can calculate in real-time
Develop new features for our in-house streaming key/value DBs
Improve resource utilization across all stages of our data pipelines, from validation and ingestion to storage to dynamic queries
Collaborate with developers and stakeholders to design services in order to meet product and business requirements

Requirements

Strong experience designing, building, implementing, and maintaining large real-time data pipelines with Kafka and Kafka Streams
Significant expertise with data consistency, throughput, and event-driven system concepts
Fluent in Python and/or Java
Familiar with designing and deploying data jobs
Experience with managing and monitoring service infrastructure and deployments
Worked with Kafka, Kafka Streams, Trino (or any distributed SQL engine), Airflow, Kubernetes, Docker, Helm, Jenkins, Prometheus, Grafana, Elasticsearch
Nice to have: Basic knowledge of AWS services such as S3 and RDS, and Terraform

Benefits

Challenging projects in a highly professional, but also a collaborative and supportive environment
Working in small and excellently skilled teams
Opportunity for long-term professional growth within our development center
Competitive compensation depending on experience and skills

Senior Data Engineer