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Data Engineer III, Data Engineering India

Amazon · Posted Oct 30

E-commerce, cloud computing, online advertising, and digital streaming services

IN, KA, BengaluruFull-timeOnsiteSenior Level5+ years₹35.0L–₹60.0L yearly100+ applicants
E-CommerceCloud ComputingArtificial IntelligenceDigital StreamingLogisticsConsumer ElectronicsPublic Company
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About the role

The Amazon IN Platform Development team is responsible for democratizing data access for the Amazon India marketplace and improving productivity by processing every Amazon India transaction. The role is a data engineering position focused on analytics infrastructure, ETL, and AI-powered data solutions. The Data Engineer will partner with business owners to build scalable data deliverables such as automation, payment behavior analysis, campaign analysis, and failure prediction using AWS big data technologies.

What you will do

  • Design, implement and support an data infrastructure for analytics needs of large organization
  • Adopt and drive AI-native practices while building data solutions. Build AI-powered products for business requirements
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Redshift SQL, Spark SQL and other AWS big data technologies
  • Optimize data pipelines, build and manage Python-based automations/tools for data pipelines
  • Be enthusiastic about building deep domain knowledge about Amazon’s business
  • Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment
  • Enjoy working closely with your peers, stakeholders and customers.
  • Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
  • Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency

Skills used in this role

What the employer is looking for

  • 5+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL
  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
  • Experience mentoring team members on best practices
  • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
  • Experience operating large data warehouses

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Amazon

Amazon.com, Inc. is a multinational technology conglomerate focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence. Recognized as one of the world's most valuable brands, it operates the largest internet retail marketplace globally alongside its prominent cloud platform, Amazon Web Services (AWS).

Industry
E-Commerce
Company size
1576000+ employees
Founded
1994-07-05
Location
Seattle, Washington, USA
Funding stage
Public Company

Funding

Public Company · $8M raised

Kleiner Perkins
  • 2013-03-22Post Ipo Debt$200M

Leadership

AJ
Andy Jassy

President and Chief Executive Officer

JB
Jeff Bezos

Founder and Executive Chair

BO
Brian Olsavsky

Senior Vice President and Chief Financial Officer

MG

Matt Garman

CEO, Amazon Web Services

DJ
Douglas J. Herrington

CEO, Worldwide Amazon Stores

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