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Senior Data Engineer - AWS Data Platform (Redshift, Glue, and Airflow)
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Accountabilities:
- 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.
- Proven experience designing and building scalable batch data pipelines and ETL systems.
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.
Jobgether
The company is a technology organization focused on building scalable data platforms and analytics solutions. They operate with a distributed international team and emphasize modern engineering practices.