Data Eningeer, QuBIT
Description
Want to architect solutions that power decisions affecting millions of customer deliveries daily? Join Amazon's Quantitative Business Intelligence (QuBIT) organization where you'll build near real-time and historical data solutions that transform large volumes of operational data into actionable insights. As a Data Engineer, you'll design systems processing vast amounts of data from across North American fulfillment centers, directly impacting how we optimize the global network that delights our customers. This is your opportunity to tackle complex engineering challenges while working alongside passionate colleagues who are revolutionizing how the world's largest logistics network operates.
You'll be on a team of engineers at the forefront of establishing and maintaining QuBIT's data lake house - the single source of truth for North American Customer Fulfillment operations.
By leveraging data from sources such as Amazon Robotics, Labor Services, and more, you'll work alongside Product Managers, Software Engineers, and Business Intelligence Engineers to automate and scale our analytics capabilities. You'll evaluate and implement optimal technology choices for data movement and storage while owning critical datasets and building new data pipelines that integrate with Amazon's core data systems, ensuring our operations leaders have access to reliable, timely insights at scale.
You should be enthusiastic about building deep domain knowledge of Amazon's business and the fulfillment space, with a focus on data pipeline architecture and storage infrastructure. As a Data Engineer, you'll work as a liaison between business and technical stakeholders to elicit, analyze, communicate, and validate requirements for optimizing our data systems to support evolving business processes and policies.
You'll represent data infrastructure needs and challenges to both engineering and business management teams, while leveraging your technical skills to design and implement scalable data solutions. Your role will involve all aspects of the data pipeline lifecycle, including designing scalable ETL processes, optimizing data storage and retrieval processes, ensuring data quality and governance, and implementing data security measures. You'll contribute to data model design, query optimization, and the deployment of analytics-ready data structures.
Get ready to collaborate closely with your peers in a group of highly skilled engineers, working on emerging data technologies and solving complex data engineering challenges at scale!
Basic Qualifications
? 2+ years of data engineering experience
? Experience with data modeling, warehousing and building ETL pipelines
? Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
? Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
? Knowledge of distributed systems as it pertains to data storage and computing
Preferred Qualifications
? Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
? Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company - Amazon.com Services LLC
Job ID: A2936052
Apply Now
Want to architect solutions that power decisions affecting millions of customer deliveries daily? Join Amazon's Quantitative Business Intelligence (QuBIT) organization where you'll build near real-time and historical data solutions that transform large volumes of operational data into actionable insights. As a Data Engineer, you'll design systems processing vast amounts of data from across North American fulfillment centers, directly impacting how we optimize the global network that delights our customers. This is your opportunity to tackle complex engineering challenges while working alongside passionate colleagues who are revolutionizing how the world's largest logistics network operates.
You'll be on a team of engineers at the forefront of establishing and maintaining QuBIT's data lake house - the single source of truth for North American Customer Fulfillment operations.
By leveraging data from sources such as Amazon Robotics, Labor Services, and more, you'll work alongside Product Managers, Software Engineers, and Business Intelligence Engineers to automate and scale our analytics capabilities. You'll evaluate and implement optimal technology choices for data movement and storage while owning critical datasets and building new data pipelines that integrate with Amazon's core data systems, ensuring our operations leaders have access to reliable, timely insights at scale.
You should be enthusiastic about building deep domain knowledge of Amazon's business and the fulfillment space, with a focus on data pipeline architecture and storage infrastructure. As a Data Engineer, you'll work as a liaison between business and technical stakeholders to elicit, analyze, communicate, and validate requirements for optimizing our data systems to support evolving business processes and policies.
You'll represent data infrastructure needs and challenges to both engineering and business management teams, while leveraging your technical skills to design and implement scalable data solutions. Your role will involve all aspects of the data pipeline lifecycle, including designing scalable ETL processes, optimizing data storage and retrieval processes, ensuring data quality and governance, and implementing data security measures. You'll contribute to data model design, query optimization, and the deployment of analytics-ready data structures.
Get ready to collaborate closely with your peers in a group of highly skilled engineers, working on emerging data technologies and solving complex data engineering challenges at scale!
Basic Qualifications
? 2+ years of data engineering experience
? Experience with data modeling, warehousing and building ETL pipelines
? Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
? Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
? Knowledge of distributed systems as it pertains to data storage and computing
Preferred Qualifications
? Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
? Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company - Amazon.com Services LLC
Job ID: A2936052
Apply Now