Become a pivotal part of Amazon as an AWS Data Processing Engineer, crafting efficient data systems for promotion insights. Bring your coding skills and cloud knowledge to enhance our analytics.
This position seeks an AWS Data Engineer with at least 3 years of experience in data system design and operations. You'll build robust ETL pipelines and collaborate with various stakeholders to turn complex data into strategic insights. Your technical expertise will play a key role in our promotions data & analytics team.
Key Responsibilities: • Design scalable data processing systems using AWS services • Develop automation tools with Python or Scala • Work with analysts to translate business needs into data solutions • Optimize existing pipelines for reliability and cost-effectiveness • Mentor and train junior engineers in best practices
Requirements: • 3+ years in data engineering or related field • Experience in data modeling and ETL pipeline creation • Knowledge of AWS tools: S3, Glue, FireHose • Familiarity with non-relational databases and design patterns • Open to learning and using generative AI technologies
Drive impactful data solutions and advance your career at Amazon. #J-18808-Ljbffr
or continue with email
This position seeks an AWS Data Engineer with at least 3 years of experience in data system design and operations. You'll build robust ETL pipelines and collaborate with various stakeholders to turn complex data into strategic insights. Your technical expertise will play a key role in our promotions data & analytics team.
Key Responsibilities: • Design scalable data processing systems using AWS services • Develop automation tools with Python or Scala • Work with analysts to translate business needs into data solutions • Optimize existing pipelines for reliability and cost-effectiveness • Mentor and train junior engineers in best practices
Requirements: • 3+ years in data engineering or related field • Experience in data modeling and ETL pipeline creation • Knowledge of AWS tools: S3, Glue, FireHose • Familiarity with non-relational databases and design patterns • Open to learning and using generative AI technologies
Drive impactful data solutions and advance your career at Amazon. #J-18808-Ljbffr
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