Data Engineer III, Data Engineering India

Job ID: 10593262 | ASSPL - Karnataka

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The Amazon Delivery and Shopping Experience Product Team is looking for a Data Engineer-III who will develop data solutions to optimize customer experience by disproportionately improving discoverability and speed. As part of Amazon’s DEX product team, you have the opportunity to be at the forefront of DEX product thought leadership - working on some of the most difficult Customer Experience problems while partnering with research scientists, software developers, and business leaders. With the focus on driving real impact on Amazon's long-term profitability, we build new data sets & analysis from ground up, proposing new concepts and technology to meet business needs.

We need a strong Data Engineer who enjoys and excels at diving into data, analyzing root causes, defining long-term solutions and driving their implementation with stakeholders.

This position requires someone who can quickly approach large ambiguous problems and apply their technical and engineering expertise to rapidly prototype and deliver solutions. This role also requires you to work across a variety of teams, including software tech teams, operations, finance, category, search, and inventory platform (software) teams. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving.

An ideal candidate will be someone with sound technical background in managing large data infrastructures, working with petabyte-scale data, building scalable data solutions/automations and driving operational excellence. An ideal candidate will be someone who is a self-starter that can start with a Platform requirement & work backwards to conceive and devise best possible solution, a good communicator while driving customer interactions, a passionate learner of new technology when the need arises, a strong owner of every deliverable in the team, obsessed with customer delight, business impact and ‘gets work done’ in business time.

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

Basic Qualifications

• - 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

Preferred Qualifications

• - 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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Job details

Ind, Ka,

• Bengaluru
• Business Intelligence

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