Amazon
Data Engineer I, HWEng Data Science & Analytics team
Amazon, Seattle, Washington, us, 98127
Data Engineer I, HWEng Data Science & Analytics team
Job ID: 2853481 | Amazon Data Services, Inc. AWS Hardware Engineering is looking for an experienced, innovative Data Engineer to join their Data Science and Analytics team. You will be part of a group of talented engineers and scientists that builds data products and services to turn hardware monitoring data into insights using advanced analytics and machine learning. As a Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact. You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long-term view on architecting advanced data ecosystem. You are experienced in building efficient and scalable data services and can integrate data systems with AWS tools and services to support a variety of customer use cases/applications. In this role, you can: Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science. Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation. Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning. Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers. This role falls within the broader AWS Infrastructure Services (AIS) organization, which owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. BASIC QUALIFICATIONS
- A Bachelor's degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering) or equivalent industry experience. - Hands-on knowledge of ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components and reporting/analytic tools. - Hands-on knowledge on writing complex, highly-optimized SQL queries across large data sets. - Proficiency in scripting languages like Python etc. PREFERRED QUALIFICATIONS
- Experience with AWS services such as Redshift, Glue, S3, EMR, Kinesis and SNS/SQS. - Experience architecting data lake and cloud data warehouses. - Experience with big data technologies (Hadoop, Hive, Kafka, Spark, etc.) - Experience in leading and delivering end-to-end projects. - AWS certifications or other related professional technical certifications. - Meets/exceeds Amazon’s leadership principles requirements for this role. - Meets/exceeds Amazon’s functional/technical depth and complexity for this role. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
here
for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
here .
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Job ID: 2853481 | Amazon Data Services, Inc. AWS Hardware Engineering is looking for an experienced, innovative Data Engineer to join their Data Science and Analytics team. You will be part of a group of talented engineers and scientists that builds data products and services to turn hardware monitoring data into insights using advanced analytics and machine learning. As a Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact. You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long-term view on architecting advanced data ecosystem. You are experienced in building efficient and scalable data services and can integrate data systems with AWS tools and services to support a variety of customer use cases/applications. In this role, you can: Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science. Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation. Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning. Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers. This role falls within the broader AWS Infrastructure Services (AIS) organization, which owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. BASIC QUALIFICATIONS
- A Bachelor's degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering) or equivalent industry experience. - Hands-on knowledge of ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components and reporting/analytic tools. - Hands-on knowledge on writing complex, highly-optimized SQL queries across large data sets. - Proficiency in scripting languages like Python etc. PREFERRED QUALIFICATIONS
- Experience with AWS services such as Redshift, Glue, S3, EMR, Kinesis and SNS/SQS. - Experience architecting data lake and cloud data warehouses. - Experience with big data technologies (Hadoop, Hive, Kafka, Spark, etc.) - Experience in leading and delivering end-to-end projects. - AWS certifications or other related professional technical certifications. - Meets/exceeds Amazon’s leadership principles requirements for this role. - Meets/exceeds Amazon’s functional/technical depth and complexity for this role. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
here
for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
here .
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