Job Summary
3 - 6 years
Machine Supervisor, Data Processing,
Data Entry Machine Operator
Last Date to Apply
14 Mar 2021
Data Engineer
Posted on: 13 Jan 2021
Job Description

Job Description :

Amazon Indias Supply Chain Analytics team is looking for a talented Data Engineer (DE) who will work with Business Analysts(BA), Business Intelligence Engineers(BIE) and Ops Research Scientists(OR Scientist) to develop next generation BI solutions to better manage/optimize inventory placement, speed and operations planning while providing the best experience to our customers at the lowest possible price. Our team members have an opportunity to be at the forefront of supply chain thought leadership by working on some of the most difficult supply chain problems and shaping our roadmap to drive real impact on Amazon's long-term profitability.

As a DE within the group, you will design, implement and maintain solutions for large scale and complex Data structures to ensure the Data is auditable, available and accessible. As the owner of the overall Data infrastructure for the group, you will also be responsible for (i) exploring alternate storage and compute capabilities to support requirements for growth in Data-storage and Data-requests (ii) work with world wide Data teams and analytics team members within the group to consume and produce critical Datasets at scale (iii) work with internal technology teams to build integrations between solutions (iv) build reporting solutions to ensure availability, uniformity and accuracy of Data. As an Analytics leader, you will also mentor and develop other DEs both on the team and across the broader India operations team.

This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply your technical and engineering expertise to rapidly prototype and deliver solutions. This position also requires you to work across a variety of teams, including analytics, operations reasearch, world-wide Data teams and software teams. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate Data across various Data marts, and align research focuses on Amazons strategic needs.

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

Preferred Qualifications :
Bachelor's degree or higher in an engineering background (e.g., CS, CE, or EE degree or equivalent experience)
Relevant experience in one of the following areas: Data engineering, Database engineering or business intelligence
Hands-on experience in writing complex, highly-optimized SQL queries across large Data sets
Experience in scripting languages like Shell Script, Python etc.
Demonstrated strength in Data modeling, ETL development, and Data warehousing
Experience with AWS services including S3, Redshift, EMR, Kinesis and RDS (optional)
Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) (optional)
Experience in working and delivering end-to-end projects independently
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