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 technologies such as Amazon Athena, Amazon Redshift, and ClickHouse.

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.
Strong programming skills in Java for backend services and Python for data processing workflows.

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.
Competitive compensation package based on experience and expertise.

Partner Company

This company specializes in building scalable, cloud-native data platforms for critical analytics and reporting. It operates with a distributed international team and emphasizes a remote-first culture.

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