The Data Engineer will own the data infrastructure for the Reverse Logistics Team which includes collaboration with software development teams to build the data infrastructure and maintain a highly scalable reliable and efficient data system to support the fast growing business. You will work with analytic tools can write excellent SQL scripts optimize performance of SQL queries and can partner with internal customers to answer key business questions. We look for candidates who are selfmotivated flexible hardworking and who like to have fun.
About the team
Reverse Logistics team at Amazon Hyderabad Development Center is an agile team whose charter is to deliver the next generation of Reverse Logistics platform. As a member of this team your mission will be to design develop document and support massively scalable distributed data warehousing querying and reporting system.
2 years of data engineering experience
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)
Knowledge of AWS Infrastructure
Knowledge of writing and optimizing SQL queries in a business environment with largescale complex datasets
Strong analytical and problem solving skills. Curious selfmotivated & a selfstarter with a can do attitude. Comfortable working in fast paced dynamic environment
Bachelors degree in a quantitative/technical field such as computer science engineering statistics
Proven track record of strong interpersonal and communication (verbal and written) skills.
Experience developing insights across various areas of customerrelated data: financial product and marketing
Proven problem solving skills attention to detail and exceptional organizational skills
Ability to deal with ambiguity and competing objectives in a fast paced environment
Knowledge of software engineering best practices across the development lifecycle including agile methodologies coding standards code reviews source management build processes testing and operations
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