Senior Data Engineer

📋 Description

• Design, build, and own batch data pipelines and ETL on AWS.
• Build ingestion pipelines using AppFlow, DMS, and event streaming.
• Develop analytical models and queries with Athena, Redshift, ClickHouse.
• Integrate data workflows with backend services on ECS.
• Mentor engineers and influence long-term architecture.
• Ensure data quality, lineage, observability, monitoring.

🎯 Requirements

• 8+ years in data/backend engineering.
• Strong AWS hands-on: Glue, Lambda, Step Functions, S3, Athena, Redshift.
• Design scalable batch data pipelines and ETL.
• Java and Python programming.
• ECS/containerized apps and microservices architecture.
• Event-driven systems (EventBridge, SQS).

🎁 Benefits

• Fully remote work from home in 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.