Job Id: 20200921010
Job Role: Data Engineer – Intern
Experience: 1+ Years
Job Location: Hyderabad
Salary: Best in Industry
Vacancies: Not Mentioned
Job Description Amazon Job Vacancies in Hyderabad Hiring for Data Engineer Intern in September 2020:
As a Data Engineer, you will analyze large amounts of business data, solve real world problems, and develop metrics and business cases that will enable us to continually delight our customers worldwide. You will also work with a team of Product Managers, Data Scientists, and Software Engineers to automate and scale the analysis, and to make the data more actionable to manage business at scale. You will own many large datasets, implement new data pipelines that feed into or from critical data systems at Amazon.
Successful candidates will bring strong technical abilities combined with a passion for delivering results for customers, internal and external. This role requires a high degree of ownership and a drive to solve some of the most challenging data and analytic problems in retail. Candidates must have demonstrated ability to manage large-scale data modeling projects, identify requirements and tools, build data warehousing solutions that are explainable and scalable. In addition to the technical skills, a successful candidate will possess strong written and verbal communication skills and a high intellectual curiosity with ability to learn new concepts/frameworks and technology rapidly as changes arise.
Our diversity, measured by thought, gender and culture, is paramount to our ability to meet the evolving needs of our customers. Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
· 1+ years of experience as a Data Engineer or in a similar role
· Experience with data warehousing, and building ETL pipelines
· Experience in SQL
· Knowledge of databases and SQL.
· Experience using business intelligence reporting tools (Tableau, Business Objects, Cognos, etc.)
· Knowledge of data management fundamentals and data storage principles
· Knowledge of distributed systems as it pertains to data storage and computing
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