Amazon.com Services LLC

Technology

SoftwareDevelopmentEngineer,CommunicationsandCorporateResponsibility(CCR)Ops&Tech

$129–224k New York, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Technology
Problems you'll solve

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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