Description 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. Basic Qualifications - 5+ years of experience as a Data Engineer or in a similar role - Experience managing a data or BI team - Experience with data modeling, data warehousing, and building ETL pipelines - Experience leading and influencing the data strategy of your team or organization - Experience in SQL - Expert-level skills in writing and optimizing SQL. - Experience with Big Data technologies such as Hive/Spark. - Proficiency in one of the scripting languages - python, ruby, java or similar. - Experience operating very large data warehouses or data lakes. - Proven interpersonal skills and standout colleague. - A real passion for technology. We are looking for someone who is keen to demonstrate their existing skills while trying new approaches. Preferred Qualifications - A strong desire to work in a fast paced dynamic environment. - Experience leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, Glue, EMR, EC2, Data-pipeline and other big data technologies - 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. - Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) - Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets - Experience building data products incrementally and integrating and managing datasets from multiple sources - Experience prioritizing competing demands, scoping large efforts and negotiating timelines are necessary skills. - Experience hiring, developing, promoting engineers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.