Senior Data Engineer

📋 Description Design and own batch data pipelines using AWS Glue, Lambda, Step Functions, and S3. Build and optimize ingestion pipelines using AppFlow, DMS, and event streams. Develop data models and query layers with Athena, Redshift, and ClickHouse. Design data workflow integrations with backend services on ECS. Collaborate with engineers to expose data via APIs. Contribute to event-driven architectures with EventBridge. 🎯 Requirements 8+ years in data or backend engineering. Strong hands-on AWS: Glue, Lambda, Step Functions, S3, Athena, Redshift. Design scalable batch data pipelines and ETL. Java (backend) and Python (data) proficiency. Containerized apps and ECS experience. Event-driven systems: SQS and EventBridge. Advanced SQL skills for analytics; Spark familiarity. Data modeling, storage strategies, and performance optimization. 🎁 Benefits Fully remote work in Romania, Poland, or Portugal. Collaborate with a diverse international team across regions. Flexible environment within a distributed engineering org. Work on impactful, large-scale data platforms with modern cloud tech. Competitive compensation based on experience. Growth opportunities through challenging projects.