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

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

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