Data Engineer
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Die Stelle
Role: Data Engineer responsible for building scalable data pipelines and enabling AI/ML-powered personalization across the email platform.
Design and optimize data processing using DataProc, Dataflow, and Composer; manage Data Lake storage and Pub/Sub streaming.
Create insightful visualizations with Looker Studio to support analytics and AI initiatives.
Collaborate with cross-functional teams in the USA to align data solutions with user experiences and business goals.
Ensure data governance, quality, and compliance while continuously improving workflows for efficiency, fault tolerance, and cost optimization.
Requirements include 2+ years in data engineering, proficiency in SQL/Python/Java, experience with Hadoop/Spark/Kafka, and strong problem-solving with a growth mindset.
Design and optimize data processing using DataProc, Dataflow, and Composer; manage Data Lake storage and Pub/Sub streaming.
Create insightful visualizations with Looker Studio to support analytics and AI initiatives.
Collaborate with cross-functional teams in the USA to align data solutions with user experiences and business goals.
Ensure data governance, quality, and compliance while continuously improving workflows for efficiency, fault tolerance, and cost optimization.
Requirements include 2+ years in data engineering, proficiency in SQL/Python/Java, experience with Hadoop/Spark/Kafka, and strong problem-solving with a growth mindset.
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