Data Engineer for AWS Infrastructure Services’ Data Center Engineering Analytics team. You will partner with Business Intelligence Engineers and stakeholder teams to design and build scalable data pipelines and data solutions that capture operational data from the AWS fleet. You will own the timely delivery of data for downstream BI solutions and ensure data reliability to support business decisions. The ideal candidate is analytical, curious, and data-driven, with experience building scalable data pipelines and systems that enable informed decision making. You will collaborate with software, hardware, and network engineers, security experts, and operations managers to maintain high standards for safety, security, and cost efficiency, while delivering innovative solutions within ambitious timelines. Responsibilities include gathering requirements, translating them into robust data infrastructure within the AWS data architecture, understanding operational data sources, supporting ETL/ELT processes, monitoring data quality, and performing root-cause analysis of data anomalies. Basic qualifications: 3+ years of data engineering experience; 1+ years building and operating large-scale BI data structures using ETL/ELT and SQL; Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or related field. Preferred qualifications: Experience with AWS technologies such as Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, and IAM; experience with non-relational databases. Amazon is an equal opportunity employer and supports accommodations during the applic

Data Engineer for AWS Infrastructure Services’ Data Center Engineering Analytics team. You will partner with Business Intelligence Engineers and stakeholder teams to design and build scalable data pipelines and data solutions that capture operational data from the AWS fleet. You will own the timely delivery of data for downstream BI solutions and ensure data reliability to support business decisions. The ideal candidate is analytical, curious, and data-driven, with experience building scalable data pipelines and systems that enable informed decision making. You will collaborate with software, hardware, and network engineers, security experts, and operations managers to maintain high standards for safety, security, and cost efficiency, while delivering innovative solutions within ambitious timelines. Responsibilities include gathering requirements, translating them into robust data infrastructure within the AWS data architecture, understanding operational data sources, supporting ETL/ELT processes, monitoring data quality, and performing root-cause analysis of data anomalies. Basic qualifications: 3+ years of data engineering experience; 1+ years building and operating large-scale BI data structures using ETL/ELT and SQL; Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or related field. Preferred qualifications: Experience with AWS technologies such as Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, and IAM; experience with non-relational databases. Amazon is an equal opportunity employer and supports accommodations during the applic