Data Engineer (Kafka)

TL;DR

Data Engineer (Kafka): Building and optimizing real-time data pipelines and in-house streaming key/value databases with an accent on event-driven architecture and resource utilization. Focus on developing high-throughput streaming features, improving data ingestion, and designing distributed services.

Location: Hybrid (Chișinău, Moldova)

Company

hirify.global is a software company specializing in real-time data processing and streaming database solutions.

What you will do

• Collaborate with stakeholders to expand and improve customer-defined real-time targetings.
• Develop new features for proprietary in-house streaming key/value databases.
• Optimize resource utilization across all data pipeline stages, including validation, ingestion, storage, and dynamic queries.
• Design services in collaboration with developers and stakeholders to meet business and product requirements.

Requirements

• Strong experience designing and maintaining large real-time data pipelines using Kafka and Kafka Streams.
• Significant expertise in event-driven system concepts, data consistency, and throughput.
• Fluency in Python and/or Java.
• Proficiency in designing and deploying data jobs.
• Experience managing and monitoring service infrastructure and deployments.
• Hands-on experience with Trino, Airflow, Kubernetes, Docker, Helm, Jenkins, Prometheus, Grafana, and Elasticsearch.

Nice to have

• Basic knowledge of AWS services (S3 and RDS).
• Experience with Terraform.

Culture & Benefits

• Work on challenging projects within a professional, collaborative, and supportive environment.
• Opportunity to work in small, highly skilled teams.
• Potential for long-term professional growth within the development center.
• Competitive compensation based on skills and experience.
• Respect and support for personal and family goals.