Senior Data Engineer

📋 Description Build and maintain scalable data solutions; influence platform evolution. Design and own batch ETL pipelines using AWS Glue, Lambda, Step Functions, S3. Build ingestion pipelines with AWS AppFlow, DMS, and event-streaming solutions. Develop analytical data models and queries using Athena, Redshift, and ClickHouse. Integrate data workflows with backend microservices on ECS; collaborate with engineers. Enable event-driven architectures with EventBridge to coordinate workflows. 🎯 Requirements 8+ years in data engineering or related hybrid role. Strong AWS: Glue, Lambda, Step Functions, S3, Athena, Redshift; ClickHouse. Experience designing scalable batch data pipelines and ETL. Java for backend and Python for data processing. ECS containerization, microservices, and event-driven systems (SQS, EventBridge). Advanced SQL; Spark; data modeling and performance optimization. 🎁 Benefits Fully remote work from home in Romania, Poland, or Portugal. Collaborate with a diverse international team across regions. Work on impactful, large-scale data platforms and cloud tech. Competitive compensation based on experience. Contribute to technical strategy and architecture decisions. Professional growth through challenging projects with experienced teams.