Data Engineer I, Selling Partner Services

Job summary
The Seller Partner Infrastructure and Core Experience Accelerator team seeks a talented, innovative and driven Data Engineer. Our team is foundational to the experience of our Selling Partners, managing the core infrastructure for Seller Central and Vendor Central including the site building features, accounts, and authorization models which fuel world class seller applications.
As an Amazon Data Engineer you will be working with one of the world's largest and most complex data processing environments. You will need expertise in the design, creation, management, and business use of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from server administration to metadata modeling. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and performant data solutions, and gain a deep understanding of key datasets. You will contribute to the evolution of your team’s data engineering practices, recommending changes in development, training, maintenance, and system standards. Above all you should be passionate about answering challenging and complex questions using data and your own dash and drive.
Come join our team and deliver amazing solutions that use data to delight both buyers and sellers and bring them together.

Basic Qualifications

· 3+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
· Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline
· 4+ 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
· Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)
· Knowledge of data management fundamentals and data storage principles
· Knowledge of distributed systems as it pertains to data storage and computing

Preferred Qualifications

· 5+ years of experience as a Data Engineer, BI Engineer, Business/Financial Analyst or Systems Analyst in a company with large, complex data sources.
· Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
· Experience working with AWS big data technologies (EMR, Redshift, S3)
· Demonstrated strength in data modeling, ETL development, and data warehousing
· 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



Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.