Senior Data Engineer

📋 Description

• Design and own batch data pipelines and ETL on AWS.
• Build/optimize ingestion pipelines with AppFlow, DMS, streaming.
• Develop analytics data models and queries with Athena/Redshift/ClickHouse.
• Design integrations between data workflows and backend services on ECS.
• Collaborate with engineers to expose data via APIs and services.
• Contribute to event-driven architectures using EventBridge.

🎯 Requirements

• 8+ years in data engineering or related hybrid role.
• Strong hands-on AWS: Glue, Lambda, Step Functions, S3, Athena, Redshift.
• Design scalable batch data pipelines and ETL.
• Proficient in Java and Python.
• Experience with ECS and containerized apps.
• Familiarity with microservices and backend design.
• Experience with event-driven systems (SQS, EventBridge).
• Advanced SQL and analytics query optimization.

🎁 Benefits

• Fully remote from Romania, Poland, or Portugal.
• Collaborate with international team across regions.
• Flexible distributed engineering organization.
• Work on large-scale data platforms and cloud tech.
• Competitive compensation based on experience.
• Growth opportunities through challenging projects.