Key job responsibilities
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
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
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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