Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

Amazon

Data Engineer Entry-Level

AmazonHyderabad

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Overview

Amazon is hiring a Data Engineer I for their AP Analytics team to build and maintain complex data pipelines. You'll work with AWS technologies and SQL to generate business insights. This position is suitable for entry-level candidates.

Job Description

Who you are

You are an entry-level Data Engineer with a strong foundation in building and maintaining data pipelines. You have experience working with SQL and various AWS technologies, and you are eager to learn and grow in a fast-paced environment. You enjoy collaborating with cross-functional teams, including business analysts and software developers, to design and implement data solutions that drive business insights.

You possess a basic understanding of data warehousing concepts and have worked with both SQL and NoSQL databases. You are familiar with big data technologies such as Hadoop and Apache Spark, and you are excited about the opportunity to work with AWS services like Redshift and ElasticSearch. You are detail-oriented and have a passion for data-driven decision-making, always looking for ways to optimize and improve data processes.

What you'll do

In this role, you will design, implement, and support analytical data platform solutions that enable data-driven decisions and insights. You will work on designing data schemas and operating internal data warehouses, ensuring that data is accessible and usable for various teams. You will interface with other teams to extract, transform, and load data from a wide variety of sources using AWS big data technologies.

You will have the opportunity to explore and learn the latest AWS technologies to provide new capabilities and increase efficiency. Your responsibilities will include working on data lake platforms and different components such as Hadoop and Amazon S3. You will also help improve ongoing analysis processes, optimizing self-service support for customers. This role offers tremendous growth opportunities in a customer-facing, agile environment.

What we offer

Amazon provides a dynamic work environment where you can develop your skills and advance your career. You will be part of a team that values collaboration and innovation, and you will have access to resources that support your professional growth. We encourage you to apply even if your experience doesn't match every requirement, as we believe in fostering diverse talent and perspectives.

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