Amazon

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Data Engineer

Data Engineer

Job ID 
535885
Location 
IN-KA-Bangalore
Posted Date 
22-05-2017
Company 
ADCI - BLR SEZ
Recruiting Team 
..

Job Description

The Appstore Technology team in Bangalore is responsible for building curated catalog of high quality third party mobile apps. The team uses cutting edge technologies to develop large-scale platforms to ingest huge number of app submitted by mobile app developers and making these available for millions of Amazon Appstore customers. Now, we are becoming multi-tenant and supporting Alexa and a few other digital goods.

The central Data Platform team is building a brand new data warehouse for these digital groups.
As a part of this team, you will be building and enhancing this new data platform, and be the owner of data ingestion, processing and presentation. In this role, you will be working with multiple people across the org and geographies to cater to their data needs. In a data driven company like Amazon, this role would come with a lot of responsibilities and exciting challenges.
The ideal candidate would be the exceptional analytical person who is passionate about the Customers, who thinks/acts globally, and who has the ability to contribute major new innovations in the industry to join us as a Data Engineer.

Roles and Responsibilities:

Own data processes and reports; write queries that meet stakeholder business requirements, lead work with SDEs for full-scale automation.
Have the capability to handle large data sets in analysis through the use of additional tools.
Define analytical approach; review and vet analytical approach with stakeholders.
Proactively and independently work with stakeholders to construct use cases and associated standardized outputs.







Basic Qualifications


Bachelor’s degree or higher in an engineering or technical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar.
5+ years of experience as a Data Engineer dealing with large complex data scenarios.
High level of aptitude with SQL, SAS, R, SPSS, Excel (pivot tables) required
Strong understanding of BI technologies and their application including database warehousing and dashboarding experience.
Experience on at least one data visualization tools such as OBIEE and Tableau .
A self-starter who loves data!




Preferred Qualifications

Master’s degree at a well-regarded institution in an analytical field with deep understanding of underlying technologies preferred
High degree of comfort to own/lead statistical/quantitative analysis and reach sound conclusions and disseminate findings to key stake holders and/or senior management