Software Development Engineer II, Measurement Products-Advertiser Brand benchmarks and Cross-Channel measurement (ABC)

About the position

Do you want to build new products from the ground up using the latest technology and AWS offerings? Do you want to work with the largest datasets on Amazon? We are building new measurement products to help brands grow on Amazon. Our products are featured in Amazon conferences and keynote speeches and are ground breaking in the industry. As an engineer on Advertiser Brand benchmarks and Cross-Channel measurement (ABC) Org, you will work with a collaborative and entrepreneurial team and will be encouraged to invent on behalf of our customers and will have visibility across senior leaders and engineers.

Responsibilities

• Collaborate closely with software leaders to innovate and contribute to new ads products.
• Work with the Measurement and Data Science (MADS) Reporting User Experience team responsible for software used by hundreds of thousands of advertisers.
• Lead the design of architectures and software technology that are exemplary in terms of robustness, stability, and scalability.
• Expand technical skills into emerging technologies.

Requirements

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture experience of new and existing systems.
• Experience programming with at least one software programming language.

Nice-to-haves

• 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Bachelor's degree in computer science or equivalent.
• Passion for building new products in a fast paced, team-oriented environment.
• Solid coding practices including good design documentation, unit testing, peer code reviews, operations experience, and a preference for agile processes.
• Sharp analytical abilities, proven design skills, excellent written and oral communication skills.
• Strong sense of ownership, bias for action, urgency, and drive.
• Experience with Big Data technologies such as Spark, Hadoop or any other distributed data processing engine.
• Experience working with Amazon Web Services.
• Experience in SQL and data modeling skills.

Benefits

• Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package.
• Full range of medical, financial, and/or other benefits.