Senior Data Engineer

📋 Description

• Design and own batch ETL pipelines with AWS Glue, Lambda, Step Functions, and S3.
• Build ingestion pipelines with AppFlow, DMS, and event streams.
• Develop analytical data models using Athena, Redshift, and ClickHouse.
• Integrate data workflows with backend services on ECS.
• Enable event-driven workflows with EventBridge.
• Ensure data quality, lineage, observability, and alerts.

🎯 Requirements

• 8+ years in data or backend engineering.
• Strong AWS hands-on: Glue, Lambda, Step Functions, S3, Athena, Redshift.
• Design scalable batch data pipelines and ETL.
• Java for backend, Python for data processing.
• Experience with containerized apps and ECS; microservices.
• Event-driven systems with SQS and EventBridge.

🎁 Benefits

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