Amazon Worldwide Returns & ReCommerce (WWR&R) is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop world-class product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus.

Key job responsibilities
The WWR&R Data Engineering team at Amazon’s Hyderabad Development Center is building the future of Reverse Logistics data infrastructure. As a Data Engineering Manager you will be working in one of the world's largest cloud-based data lakes. You should be an experienced manager capable of leading and inspiring a team of excellent data engineers. You should be skilled at helping engineers navigate priorities and communicating clear expectations with customers. You should be knowledgeable in the architecture of data warehouse solutions for the Enterprise using multiple platforms (EMR, RDBMS, Columnar, Cloud). You should have experience in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.

As a Data Engineering Manager on WWR&R team, you will be leading a team of Data Engineers and will play a thought leadership role in our team – the team will look to you for advice on data and business issues facing them. You work very efficiently and routinely deliver the right things. You will have a company-wide view of the Data Engineering solutions that you build, and you will consistently think in terms of automating or expanding the results company-wide. This high impact role will have an opportunity to lead a team to help design and build our data infrastructure and work with emerging technologies such as Redshift and associated AWS cloud services while driving business intelligence solutions end-to-end: business requirements, workflow instrumentation, data modeling and ETL. You should be an expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data lake and into end-user facing applications. The role requires someone who loves data, understands enterprise information systems, has a strong business sense, and can lead a team to put these skills into action. You will have an enormous opportunity to make a large impact on the design, architecture, and development of data products. You will be responsible for owning large-scale, multi-tiered, distributed data applications and tools.