Senior Data Engineer

📋 Description

• Build and maintain scalable data solutions; influence platform evolution.
• Design and own batch ETL pipelines using AWS Glue, Lambda, Step Functions, S3.
• Build ingestion pipelines with AWS AppFlow, DMS, and event-streaming solutions.
• Develop analytical data models and queries using Athena, Redshift, and ClickHouse.
• Integrate data workflows with backend microservices on ECS; collaborate with engineers.
• Enable event-driven architectures with EventBridge to coordinate workflows.

🎯 Requirements

• 8+ years in data engineering or related hybrid role.
• Strong AWS: Glue, Lambda, Step Functions, S3, Athena, Redshift; ClickHouse.
• Experience designing scalable batch data pipelines and ETL.
• Java for backend and Python for data processing.
• ECS containerization, microservices, and event-driven systems (SQS, EventBridge).
• Advanced SQL; Spark; data modeling and performance optimization.

🎁 Benefits

• Fully remote work from home in Romania, Poland, or Portugal.
• Collaborate with a diverse international team across regions.
• Work on impactful, large-scale data platforms and cloud tech.
• Competitive compensation based on experience.
• Contribute to technical strategy and architecture decisions.
• Professional growth through challenging projects with experienced teams.