Amazon
Data Engineer, AMXL (Amazon Extra Large) Analytics
Amazon, Bellevue, Washington, us, 98009
Description
Do you pioneer? Do you enjoy breaking down and solving complex problems for the benefit of a quickly expanding customer base, focusing first on our customer and working backwards? Do you want to be part of a newly formed organization that is designing and launching new business models across the world? If so, the AMXL supply chain team is looking for an experienced leader with a strong record of achieving results, to create and execute the worldwide AMXL supply chain by working closely with our retail and operations partners across the globe in order to effectively manage volume flows and fullness for our fulfillment centers and delivery stations. The role requires heavy index on dive deep, bias for action, and ownership.
Amazon Extra Large (AMXL), formerly known as Special Handling, obsesses over customers by offering a white glove service where we deliver TVs and other large items like furniture in customers’ homes. Not only do we deliver large parcels, we unpack, assemble, install and sometimes even do tests, hauling away old items as needed. As we head into Peak, we continue to build our special handling fulfillment, delivery and services network and will add more fulfillment centers and delivery stations across NA. We are currently in the process of building out a network that is poised for big growth in the coming years.
AMLX Analytics is seeking a passionate Data Engineer to join our fast-paced team. In this role, you will implement modern, innovative data infrastructure and experiences across our data warehouse, web applications, and third-party integrations. You will work in one of the world's largest data environments, designing and supporting scalable solutions that integrate heterogeneous data sources to meet business needs. Exposure to cutting edge AWS technologies is provided.
We are looking for someone excited by the challenge of building new global-scale systems with a focus on customer experiences, performance, and simplicity. You will collaborate cross-functionally, gathering requirements, designing data pipelines and datasets, and staying updated on emerging technologies. The ideal candidate will develop robust, scalable data models and optimize data consumption to generate unique insights. We seek ownership in the technical vision for advanced analytics products that you will help conceive. You will solve complex problems innovatively while delivering operational excellence. If you are motivated by thinking big, moving fast, and exploring insights with the latest big data techniques, this opportunity is for you. We leverage the newest AWS and 3P services, so passion for building state-of-the-art, data-centric solutions is crucial.
We welcome those who love implementing innovative solutions through hard work, fun, and making history!
Key job responsibilities
Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and AWS big data technologies.
Oversee and continually improve production operations, including optimizing data delivery, re-designing infrastructure for greater scalability, code deployments, bug fixes and overall release management and coordination.
Establish and maintain best practices for the design, development and support of data integration solutions, including documentation.
Work closely with Product teams, Data Scientists, Software developers and Business Intelligence Engineer to explore new data sources and deliver the data.
Able to read, write, and debug data processing and orchestration code written Python/Scala etc following best coding standards (e.g. version controlled, code reviewed, etc.)
Partner with Data Science and Software Development Engineers to prioritize and define AMXL data and pipeline development needs.
Work with in-house scientists, global supply chain, transportation and logistics teams to identify new data capabilities and projects.
Basic Qualifications
3+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
Preferred Qualifications
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/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.
Do you pioneer? Do you enjoy breaking down and solving complex problems for the benefit of a quickly expanding customer base, focusing first on our customer and working backwards? Do you want to be part of a newly formed organization that is designing and launching new business models across the world? If so, the AMXL supply chain team is looking for an experienced leader with a strong record of achieving results, to create and execute the worldwide AMXL supply chain by working closely with our retail and operations partners across the globe in order to effectively manage volume flows and fullness for our fulfillment centers and delivery stations. The role requires heavy index on dive deep, bias for action, and ownership.
Amazon Extra Large (AMXL), formerly known as Special Handling, obsesses over customers by offering a white glove service where we deliver TVs and other large items like furniture in customers’ homes. Not only do we deliver large parcels, we unpack, assemble, install and sometimes even do tests, hauling away old items as needed. As we head into Peak, we continue to build our special handling fulfillment, delivery and services network and will add more fulfillment centers and delivery stations across NA. We are currently in the process of building out a network that is poised for big growth in the coming years.
AMLX Analytics is seeking a passionate Data Engineer to join our fast-paced team. In this role, you will implement modern, innovative data infrastructure and experiences across our data warehouse, web applications, and third-party integrations. You will work in one of the world's largest data environments, designing and supporting scalable solutions that integrate heterogeneous data sources to meet business needs. Exposure to cutting edge AWS technologies is provided.
We are looking for someone excited by the challenge of building new global-scale systems with a focus on customer experiences, performance, and simplicity. You will collaborate cross-functionally, gathering requirements, designing data pipelines and datasets, and staying updated on emerging technologies. The ideal candidate will develop robust, scalable data models and optimize data consumption to generate unique insights. We seek ownership in the technical vision for advanced analytics products that you will help conceive. You will solve complex problems innovatively while delivering operational excellence. If you are motivated by thinking big, moving fast, and exploring insights with the latest big data techniques, this opportunity is for you. We leverage the newest AWS and 3P services, so passion for building state-of-the-art, data-centric solutions is crucial.
We welcome those who love implementing innovative solutions through hard work, fun, and making history!
Key job responsibilities
Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and AWS big data technologies.
Oversee and continually improve production operations, including optimizing data delivery, re-designing infrastructure for greater scalability, code deployments, bug fixes and overall release management and coordination.
Establish and maintain best practices for the design, development and support of data integration solutions, including documentation.
Work closely with Product teams, Data Scientists, Software developers and Business Intelligence Engineer to explore new data sources and deliver the data.
Able to read, write, and debug data processing and orchestration code written Python/Scala etc following best coding standards (e.g. version controlled, code reviewed, etc.)
Partner with Data Science and Software Development Engineers to prioritize and define AMXL data and pipeline development needs.
Work with in-house scientists, global supply chain, transportation and logistics teams to identify new data capabilities and projects.
Basic Qualifications
3+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
Preferred Qualifications
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/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.