Data Engineer

Job description

DESCRIPTION

Do you want a unique, exciting opportunity to help build something from the ground up? We are looking for builders who are passionate about data engineering to join the Marketing Science team within Amazon Advertising.

Amazon is investing heavily in building a world class advertising business, and we are responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

In this role, you will be a technical expert with massive impact. You work tightly with the machine learning scientists on our team to create the data infrastructure and pipelines to drive our machine learning projects from initial experimentation to production level deployment. Your work will directly impact the success of Amazon's growing advertising business. You will work across diverse science/engineering/business teams. You will work on critical data engineering problems, building unique high quality reliable, accurate, consistent and architecturally sound data sets that are aligned with our business needs.

Key Performance Areas
• Design, implement and support an analytical data infrastructure
• Managing AWS resources including EC2, EMR, S3, Glue, Redshift, etc.
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
• Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

PREFERRED QUALIFICATIONS

· Experience working with AWS big data technologies (Redshift, S3, EMR)
· Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
· Experience providing technical leadership and mentoring other engineers for best practices on data engineering
· Familiarity with statistical models and data mining algorithms
· Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
· Masters in computer science, mathematics, statistics, economics, or other quantitative fields.

Amazon.com is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age

Desired profile

BASIC QUALIFICATIONS

· • Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline
• 3+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
• Demonstrated strength in data modeling, ETL development, and data warehousing
• Experience using big data technologies such as Spark and Hive
• Knowledge of data management fundamentals and data storage principles