Senior Data Engineer

📋 Description

• Design, develop, and own batch ETL pipelines on AWS (Glue, Lambda, Step Functions, S3)
• Build/optimize ingestion pipelines with AppFlow, DMS, and event streams
• Develop analytical data models and queries with Athena, Redshift, ClickHouse
• Integrate data workflows with backend services on ECS
• Collaborate with engineers to expose data via APIs
• Drive event-driven architecture with EventBridge to coordinate workflows

🎯 Requirements

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

🎁 Benefits

• Fully remote work from home in Romania, Poland, or Portugal
• Collaborate with diverse international team across regions
• Flexible working environment in a distributed org
• Work on impactful, large-scale data platforms and cloud tech
• Competitive compensation based on experience
• Opportunity to influence technical strategy and architecture