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Data Engineer

SKU 1734 Categories ,
Location

Hyderabad

Technical area

YoE

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Description

Do you want to build a cutting-edge and highly scalable data platform? Value Added Services team at Amazon is looking for Data Engineer to play a key role in building next generation data platform to support multi tenants. The ideal candidate will be passionate about building extremely large, scalable and distributed systems on AWS stack and will want to be part of a team that has accepted the goal to enable data driven innovations for services business in Amazon.

Looking for a candidate with strong background in new age AWS stack (S3, EMR, Redshift) or traditional BI & DW with interest in data intelligence and ability to screen emerging patterns and trends from large amounts of data. Data Engineer should have strong experience with all standard data warehousing technical aspects (e.g. ETL, Data Modeling and Reporting), infrastructure (e.g. hardware and software) and their integration. The ideal candidate will have extensive experience in dimensional modeling, excellent problem solving ability dealing with huge volumes of data. Excellent written and verbal communication skills are required, as the candidate will work very closely with diverse teams and senior leadership.
As a Data Engineer, you will be responsible for leading the architecture, design and development of the data, metrics and reporting platform for Services. You will design and implement new and automate existing Business Intelligence solutions to support analytical needs of Business Analysts and Service business stakeholders with timely, actionable insights.

Value Added Services team in Hyderabad, India is developing a services data platform, which will make it possible to analyze services with the same degree of convenience and flexibility we analyze products. We are looking to hire smart and highly motivated Engineers who will work towards launching this next wave of disruptive services data platform for Amazon. As a member of this team, your mission will be to design, develop, deploy, document and support scalable and data systems.

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