Data Engineer
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Die Stelle
Design, implement, and operate data ingestion pipelines focused on onboarding, automation, and data quality.
Automate ingestion from diverse sources and perform data processing, transformation, and quality checks to ensure completeness and timeliness.
Develop distributed pipelines for real-time and batch processing, coordinating across multiple data systems and cloud services.
Participate in code reviews to promote maintainable pipelines and engineering best practices.
Apply Python (essential), SQL, Java, Docker, Git, and Databricks within an AWS-based environment (S3/EC2/ECS) using CLI tools.
Thrives in a fast-paced, entrepreneurial setting, communicates clearly in English, and supports a hybrid work model (at least 3 days on-site).
Automate ingestion from diverse sources and perform data processing, transformation, and quality checks to ensure completeness and timeliness.
Develop distributed pipelines for real-time and batch processing, coordinating across multiple data systems and cloud services.
Participate in code reviews to promote maintainable pipelines and engineering best practices.
Apply Python (essential), SQL, Java, Docker, Git, and Databricks within an AWS-based environment (S3/EC2/ECS) using CLI tools.
Thrives in a fast-paced, entrepreneurial setting, communicates clearly in English, and supports a hybrid work model (at least 3 days on-site).
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