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 self-motivated, 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 large-scale, complex datasets
- Experience with strong project management skills and the ability to thrive in a fast-paced environment
- Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
- Experience using strong customer service, communication, and interpersonal skills
- Experience analyzing data quantitatively and using customer research, data and metrics to back up assumptions, identifying opportunities, and assessing the efficacy of marketing programs
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in software development and experience working with customers with a passion for delivering exceptional service
- Experience working in a fast-paced and ambiguous environment, or experience with Oracle, Essbase, TM1 and similar tools
- Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
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