Senior Data Engineer

• 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
• Respect and support for your professional, family and personal goals