Machine Learning Data Structures Data Processing Big Data Data Modeling Inventory Management Web Technologies User Interface Designing Server Administration etl pl sql
Experience
10 to 18 Years
Industry
IT - Software Services
Functional Area
IT
AMAZON is HIRING. Data Engineer @ Big Data Team, Hyderabad About Amazon: Many of the problems we face have no textbook solution, and so we-happily-invent new ones. Jeff Bezos, 2010 Shareholder letter. Amazon.com a place where builders can build. We hire the worlds brightest minds and offer them an environment in which they can invent and innovate to improve the experience for our customers. A Fortune 100 company based in Seattle, Amazon is the global leader in e-commerce. Technological innovation drives the growth of Amazon - Amazons evolution from Web site to e-commerce partner to development platform is driven by the spirit of invention that is part of our DNA. We do this every day by inventing elegant and simple solutions to complex technical and business problems. Were making history and the good news is that weve only just begun. Join us in this revolution! About Amazon India Development Centre : Amazon teams in India work on complex technology challenges to innovate and create efficient solutions that enable various Amazon businesses, including Amazon websites across the world as well as support Payments, Transportation, and Digital products and services like the Kindle family of tablets, e-readers and the store. We are proud to have some of the finest Engineering Talent, Machine Learning Scientists, Product Visionaries and Strong Leaders with proven experience working to make Amazon the Earths most customer-centric company. Amazon India offers opportunities where you can dive right in, work with smart people on challenging problems and make an impact that contributes to the lives of millions. About the Opportunity @ Hyderabad Location About Big Data Technologies Team : Excited about big data processing and analysis by working with one of the largest data warehouses in the world? Eager to interact with a large variety of business units from Inventory Management to Customer Service, from AWS to Kindle. At Amazon.com data is generated by thousands of systems and data guides every business decision to deliver enormous business value. Amazon's Big Data Technologies team provides services to thousands of teams across Amazon including, data ingestion, metadata, analysis platforms, No-SQL platforms and data mining. Amazon.com is seeking an outstanding Data Engineer to join Amazon.com's Big Data Technologies team. The Amazon.com BDT Team delivers to over 1000 internal customers, and a diverse community of external customers, from one of the worlds largest and most complex data sets. Responsibilities Amazon.com Big Data is a fast paced environment where every day brings new challenges and new opportunities. As a Data Engineer working on the Big Data platform, you will be implementing and supporting the technologies that give our customers timely, flexible and structured access to their data. You will be challenged with a variety of tasks, ranging from server administration to metadata modeling to UI design. You will interact with customers to gather requirements and structure solutions. Design, implement and drive adoption of new analytic technologies and solutions. Promote industry standard best practices. Interface with business customers, gathering requirements and gaining a deep-dive understanding of key datasets. Tuning application and query performance against large, complex data structures. You Should Also Have The Following Skills Or Experiences Were looking for Data Engineers who have a passion for data and a passion for supplying their clients with that data. You love working with analytic tools, providing a comprehensive platform for customers to access their data; understanding your customers challenges, you can partner with customers to invent great solutions, and you are an advocate for your customers. You are analytical and creative, and you dont quit. Retail knowledge Engineering or CS degree Minimum of 5 years of IT experience Ability to write complex SQL Queries, Data modelling skills Internal ORACLE DB Concepts, Performance tuning Distributed Technologies (Hadoop, EMR, HIVE).