Data Engineer

Job description

DESCRIPTION

Do you love working with data and analytic platforms?

Amazon Live is a V1 startup that leverages interactive streaming video to create new shopping experiences for customers. Our group offers a creative and fast-paced work environment where you’ll invent and launch scalable solutions that directly impact Amazon customers. Data is at the center of every product we develop as we create new features that serve the needs of our growing base of consumers, brands and influencers.

The ideal candidate has a strong bias toward data driven decision making, be a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and will enjoy working in a fast-paced dynamic environment. If you are excited about using experimentation, data and machine learning to improve customer and brand experience, and want to join a growing team within Amazon - this role is for you.

PREFERRED QUALIFICATIONS

· Advanced degree in Engineering, Computer Science or related field
· Understanding of Amazon Web Services (AWS) technologies.
· Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.
· Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
· 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.

Desired profile

BASIC QUALIFICATIONS

· Bachelors of Science degree in Computer Science or related field.
· 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.
· Understanding of Big Data technologies and solutions (Spark, Hadoop, Hive, S3, Redshift, etc.)