Data Engineer II

Data Engineer II

Amazon
Bengaluru / Bangalore
3-6 years
Not Specified

Job Description


Job Description :
The Datalytics Platform team is building a brand new data warehouse for digital goods processed by the Appstore and Alexa teams, and also a few other digital good providers.
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. You will get deep understanding of the business requirements, and own the transformation and storage of the data that can be consumed by the customers to drive the business forward. In a data driven company like Amazon, this role would come with a lot of responsibilities and exciting challenges.
Roles and Responsibilities:
Own data processes; write queries that meet stakeholder business requirements, lead work for full-scale automation.
Mentor engineers on Data Engineering concepts.
Liaise with stakeholders to understand the requirements and translate into data model, processes, and tie them back to source
Have the capability to handle large data sets in analysis through the use of additional tools/scripts
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 :
· 3+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
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, 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 .
Experience with Big data technologies like S3, Hadoop, Spark, PIG
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

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