Amazon.com Services LLC
Technology
SoftwareDevelopmentEngineer,CommunicationsandCorporateResponsibility(CCR)Ops&Tech
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Development Engineer, Communications and Corporate Responsibility (CCR) Ops & Tech at Amazon.com Services LLC. Skills: Data engineering, Data pipelines, Analytics platforms. Develop data processing systems. Maintain data processing systems”
Industry & Context.
Performance optimization
What They're Looking For.
Must Have
3+ years software development experience, 2+ years system design experience, Experience programming one language
Nice to Have
3+ years full SDLC experience, Bachelor's degree in computer science
What You'll Do.
Develop data processing systems
Maintain data processing systems
Develop analytics applications
Maintain analytics applications
Design data ingestion pipelines
Implement data ingestion pipelines
Build data storage solutions
Write maintainable code
Implement ETL pipelines
Optimize query performance
Ensure data consistency
Develop ETL processes
Optimize Redshift queries
Optimize Redshift table designs
Implement data quality checks
Implement data monitoring
How You'll Work.
Team & Collaboration
Collaborative team environment; Working with experienced engineers
Full Job 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-te
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