Senior Data Engineer

📋 Description

• Design, develop, and own batch-oriented data pipelines and ETL workflows using AWS Glue, AWS Lambda, AWS Step Functions, and Amazon S3.
• Build and optimize ingestion pipelines using AWS-native services, including AppFlow, DMS, and selected event-streaming solutions.
• Develop and maintain analytical data models and query layers using Amazon Athena, Amazon Redshift, and ClickHouse.
• Design integrations between data workflows and backend microservices running on Amazon ECS.
• Collaborate with software engineers to develop backend services and APIs that expose data capabilities.
• Contribute to event-driven architectures using EventBridge to coordinate workflows and system interactions.

🎯 Requirements

• 8+ years of experience in data engineering, backend engineering, or a related hybrid role.
• Strong hands-on experience with AWS services, including AWS Glue, AWS Lambda, AWS Step Functions, Amazon S3, Amazon Athena, and Amazon Redshift.
• Proven experience designing and building scalable batch data pipelines and ETL systems.
• Strong programming skills in Java for backend services and Python for data processing workflows.
• Experience working with containerized applications and orchestration platforms such as Amazon ECS.
• Familiarity with microservices architectures and backend system design.

🎁 Benefits

• Fully remote work arrangement from a home office in Romania, Poland, or Portugal.
• Opportunity to collaborate with a diverse international team across multiple regions.
• Flexible working environment within a distributed engineering organization.
• The chance to work on impactful, large-scale data platforms and modern cloud technologies.
• Competitive compensation package based on experience and expertise.
• Opportunity to contribute to technical strategy and influence architecture decisions.