Data Engineer - Data Science

Job description

DESCRIPTION

Amazon's retail platform has created the largest marketplace in human history. Our team leverages sophisticated econometric, machine learning, and big data technologies to recommend the right product at the right price from the most trusted merchant billions of times every day, worldwide. If you are looking for a career-defining opportunity on one of the most visible teams within Amazon, we'd love to hear from you.

Our success depends on our ability to manage and analyze the data that our customers generate. This position requires the ability to wrangle large amounts of data, a great business sense, and the desire to influence key strategic decisions with data-driven analysis. Working within our science team and collaborating with key stakeholders across the company, you will have the opportunity to design and implement features to enhance the experience of Amazon customers. You will have access to some of the most-qualified scientists in their field and will have an outsized influence on the success of the company.
We offer a technologically-sophisticated, customer-focused, data-driven and friendly work environment. Data Engineers at Amazon work directly with a diverse scientific team including computer scientists, engineers, and statisticians, as well as other data scientists.

Our team operates a modeling system which receives a billion requests per day across the globe. We seek to balance robustness with customer relevance. The role requires the ability to conceptualize, formulate, prototype, and implement algorithms to capture customer behavior and solve business problems.

Desired profile

BASIC QUALIFICATIONS

* A desire to work in a collaborative, intellectually curious environment.

* Degree in Computer Science, Engineering, Mathematics, Physics, or a related field and at least 2 years work experience

* Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets.

* Demonstrated ability in data modeling, ETL development, and data warehousing.

* Experience with Oracle, Redshift, Teradata, etc.

* Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc)
* Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)