Data Engineer II, Seller Growth Opportunities

Job summary
The Seller Growth and Development organization owns the charter to increase profitability of sellers in Amazon. Our products are strategically important to the long term growth of Amazon’s consumer businesses, and our organization's initiatives are highly visible to Amazon's executive leadership. Our larger team owns the growth recommendation platform that surfaces strategic growth recommendations on different Amazon programs and end-customer insights that sellers can leverage to increase their profitability.

We are seeking passionate data engineers to join our team to build the growth recommendations onboarding platform team. This is a great opportunity to build a large scale data architecture that involves both batch big data, high TPS streaming data, traditional data pipelines as well as heuristics and Machine Learning.

As a data engineer in the team, you will work backwards from our customers’ business needs, you will interact with our product managers to shape our product vision, you will design data solutions that solves business problems, you will work with state of art Big Data processing technologies including Elastic Search, Spark, Redshift, EMR and Hive and orchestration solution like MWAA (Airflow), and you will continuously innovate and simplify. A successful candidate will have a data engineering background, excellent design and problem solving skills, and strong project management and communication skills. Excited? We are looking forward to you joining us!


A day in the life
The main charter of our team is creating/onboarding growth based recommendations for sellers using Amazon scale data. As a recommendation platform, our team also owns relevance and quality of the recommendations.

So, day-to-day activities of data engineers include designing and implementing optimized big data ETL pipelines to ingest recommendations. They are also responsible for coming up with business rules, heuristics or ML based solutions to increase relevance and quality of the recommendations to sellers in Amazon.

About the team
Our team's vision is to increase the profitability of sellers on Amazon. Currently, we do this by coming with recommendations on what actions sellers can take to increase their sales or save money in fees. Our team owns coming up with recommendations or onboarding recommendation data from partner teams, making sure the individual recommendations are high quality and relevant to the sellers before ingesting the recommendation into our product.

Basic Qualifications

• Bachelor's Degree in Computer Science or related field;
• 3+ years industry experience as a Data Engineer.
• Strong practical understanding of Computer Science fundamentals;
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• Strong analytical skills;
• Strong passion for delivering high-quality software.

Preferred Qualifications

• MS or PhD in Computer Science or equivalent
• 5+ years industry experience as a Data Engineer
• Experience with Big Data technologies such as Elastic Search, Spark, Amazon EMR, Amazon Redshift and Amazon Athena
• Experience building distributed software systems;
• Experience with AWS or other cloud computing platforms;
• Knowledge of professional software engineering practices;
• Strong focus on clean code and robust design.

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.