As a Data Engineer , you will be responsible for leading the architecture, design and development of the data, metrics and reporting platform for Pricing. You will architect and implement new and automated Business Intelligence solutions, including big data and new analytical capabilities that support our Development Engineers, Analysts and Retail business stakeholders with timely, actionable data, metrics and reports while satisfying scalability, reliability, accuracy, performance and budget goals and driving automation and operational efficiencies. You will partner with business leaders to drive strategy and prioritize projects and feature sets. You will also write and review business cases and drive the development process from design to release. In addition, you will provide technical leadership and mentoring for a team of highly capable Data Engineers.

Responsibilities

1. Own design and execution of end to end projects
2. Own managing Amazon Pricing services data infrastructure
3. Build end to end Data Pipeline for Amazon Pricing
4. Establish key relationships which span Amazon business units and Business Intelligence teams
5. Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting to meet or exceed SLAs

BASIC QUALIFICATIONS

– 1+ years of data engineering experience
– Experience with SQL
– Experience with data modeling, warehousing and building ETL pipelines
– Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
– Experience with one or more scripting language (e.g., Python, KornShell)

PREFERRED QUALIFICATIONS

– Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
– Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.