Senior Data Engineer

📋 Description

• Design and own batch data pipelines and ETL using AWS Glue, Lambda, Step Functions, and S3.
• Build ingestion pipelines with AWS-native services (AppFlow, DMS, event streaming).
• Develop analytical data models and queries with Athena, Redshift, and ClickHouse.
• Design integrations between data workflows and backend microservices on ECS.
• Collaborate with software engineers to expose data capabilities via APIs.
• Drive event-driven architectures with EventBridge to coordinate workflows.

🎯 Requirements

• 8+ years of experience in data or backend engineering roles.
• Strong hands-on AWS: Glue, Lambda, Step Functions, S3, Athena, Redshift.
• Proven experience designing scalable batch data pipelines and ETL.
• Java for backend and Python for data processing.
• Experience with containerized apps and Amazon ECS.
• Familiarity with microservices architectures and backend design.

🎁 Benefits

• Fully remote from Romania, Poland, or Portugal.
• Collaborate with an international team across regions.
• Flexible, distributed engineering environment.
• Work on large-scale data platforms with modern cloud tech.
• Competitive compensation based on experience.
• Influence architecture and technical strategy.