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

• A chance to be a part of a casual but professional environment where you will have a safe place to try, fail and lear
• Coaching from our tech leads to advance your soft and technical skills and set your own development path
• Defined and organized the onboarding process for both, the company and the project
• Competitive compensation depending on experience and skills
• Private pension and medical insurance for you and your family. Also, maternity and sick leave are 100% paid
• Sport clubs – from fishing to basketball, whatever rocks your boat
• Awesome referral fees - because great people know great people
• Work-life balance – this is the company that really supports your professional, family and personal goals
• Freedom to decide how you want to work - partly or fully remote or from our offices