What are the responsibilities and job description for the Software Development Engineer, Communications and Corporate Responsibility (CCR) Ops & Tech position at Amazon?
Description
As a Software Development Engineer in the Communications and Corporate Responsibility (CCR) Ops & Tech organization, you will work in a collaborative team environment delivering data-driven solutions and analytics capabilities. Our team, formed in 2022, specializes in building and maintaining data pipelines and analytics platforms that help internal customers access, analyze, and understand Amazon's communications efforts globally.
In this role, you will develop and maintain data processing systems and analytics applications. Working alongside experienced engineers, you'll design and implement data ingestion pipelines, transform raw data into actionable insights, and build efficient data storage solutions using technologies like Amazon Redshift, S3 data lakes, and various AWS analytics services.
This is an ideal role for engineers with data engineering expertise who want to expand their impact beyond traditional data functions. You'll have opportunities to grow as both a data specialist and a well-rounded software developer.
A day in the life
Your daily work will involve writing maintainable, efficient code for data processing and analytics workflows. You'll design and implement ETL pipelines, optimize query performance, and ensure data quality and consistency. Key responsibilities include building and maintaining data lakes using AWS services, developing ETL processes for data ingestion and transformation, optimizing Redshift queries and table designs, implementing data quality checks and monitoring, and creating efficient data models for analytics use cases.
The ideal candidate should have experience with data warehouse technologies, particularly Amazon Redshift, ETL pipeline development and maintenance, SQL and data modeling, working with large-scale data processing systems, data lake architecture and implementation, and Python, Java, or similar languages for data processing.
About The Team
You'll be joining a data-focused technical team within a primarily non-technical organization, providing unique opportunities to work with various data sources while building analytics solutions that make immediate impact. We emphasize data quality, performance optimization, and sustainable development practices.
Our work spans several core data initiatives supporting Amazon's communications efforts, giving you exposure to different types of data processing and analytics challenges. As part of our team, you'll contribute to systems that help internal customers derive insights from Amazon's communications data across the globe. You'll work with modern data architectures and see the direct impact of your solutions on our customers' ability to make data-driven decisions.
We've built our team from scratch since 2022, establishing a culture that emphasizes continuous learning in data engineering and analytics. We believe in providing regular feedback and support to help our engineers develop their skills in modern data technologies and advance their careers. If you're passionate about data engineering and want to work in an environment that supports your growth as a data-focused software developer.
Basic Qualifications
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 $129,300/year in our lowest geographic market up to $223,600/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.
Company - Amazon.com Services LLC
Job ID: A3051189
As a Software Development Engineer in the Communications and Corporate Responsibility (CCR) Ops & Tech organization, you will work in a collaborative team environment delivering data-driven solutions and analytics capabilities. Our team, formed in 2022, specializes in building and maintaining data pipelines and analytics platforms that help internal customers access, analyze, and understand Amazon's communications efforts globally.
In this role, you will develop and maintain data processing systems and analytics applications. Working alongside experienced engineers, you'll design and implement data ingestion pipelines, transform raw data into actionable insights, and build efficient data storage solutions using technologies like Amazon Redshift, S3 data lakes, and various AWS analytics services.
This is an ideal role for engineers with data engineering expertise who want to expand their impact beyond traditional data functions. You'll have opportunities to grow as both a data specialist and a well-rounded software developer.
A day in the life
Your daily work will involve writing maintainable, efficient code for data processing and analytics workflows. You'll design and implement ETL pipelines, optimize query performance, and ensure data quality and consistency. Key responsibilities include building and maintaining data lakes using AWS services, developing ETL processes for data ingestion and transformation, optimizing Redshift queries and table designs, implementing data quality checks and monitoring, and creating efficient data models for analytics use cases.
The ideal candidate should have experience with data warehouse technologies, particularly Amazon Redshift, ETL pipeline development and maintenance, SQL and data modeling, working with large-scale data processing systems, data lake architecture and implementation, and Python, Java, or similar languages for data processing.
About The Team
You'll be joining a data-focused technical team within a primarily non-technical organization, providing unique opportunities to work with various data sources while building analytics solutions that make immediate impact. We emphasize data quality, performance optimization, and sustainable development practices.
Our work spans several core data initiatives supporting Amazon's communications efforts, giving you exposure to different types of data processing and analytics challenges. As part of our team, you'll contribute to systems that help internal customers derive insights from Amazon's communications data across the globe. You'll work with modern data architectures and see the direct impact of your solutions on our customers' ability to make data-driven decisions.
We've built our team from scratch since 2022, establishing a culture that emphasizes continuous learning in data engineering and analytics. We believe in providing regular feedback and support to help our engineers develop their skills in modern data technologies and advance their careers. If you're passionate about data engineering and want to work in an environment that supports your growth as a data-focused software developer.
Basic Qualifications
- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3 years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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 $129,300/year in our lowest geographic market up to $223,600/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.
Company - Amazon.com Services LLC
Job ID: A3051189
Salary : $129,300 - $223,600
