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Data Engineer II

Data Engineer II

Job ID 
Posted Date 
ASSPL - Karnataka
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Job Description

Are you excited about driving business growth for millions of sellers through business analytics?’s 3rd party Marketplace business is looking for a talented Data/Business Intelligence Engineer with a strong background in ETL, Data warehousing and interest in data mining, statistical modeling, linking data to key business trends.

Amazon Marketplace provides business solutions that enable millions of sellers around the world to sell on Amazon’s marketplaces. This Data Engineer will design and develop ETLs that drive creation and improvement of timely, relevant, and actionable recommendations that help these Sellers grow their business on Amazon.

They will analyze data trends to understand behavior and key insights into current performance and will recommended targeted improvements. They will have an opportunity to work with big data and emerging technologies like Redshift, EMR and Spark.

A successful candidate will be able to speak the language of business and technical teams, taking business requirements and developing solutions to understand business impact. If you are excited about data analytics, are results oriented, and like to work hard and have fun, then this is the position for you.

Basic Qualifications

Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar.
5+ years of relevant employment experience.
3+ years in with Advanced SQL (analytical functions), ETL, DataWarehousing.
Advanced data analysis skills – e.g. pivot tables
Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures.
Ability to effectively communicate with both business and technical teams.

Preferred Qualifications

5+ years of relevant employment experience with a Bachelor's or 3+ years of relevant experience with a Masters.
2+ years in using OLAP technologies and BI Analytics (Oracle BI Enterprise Edition is preferred).
Excellent written and verbal communication and data presentation skills