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Home›Jobs›Amazon›Data Engineer, Digital Acceleration
Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA⭐ 3.7
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 ...

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Amazon

Data Engineer, Digital Acceleration

Amazon • Bellevue, Washington, USA

Posted 5 months ago🏛️ On-SiteMid-LevelData engineer📍 Bellevue
Apply Now →

Job Description

Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?

The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled individual to join our team. In this role, you will play a critical part in developing foundational data instrumentation components to seamlessly surface relevant digital content to Amazon customers.

An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.

Key job responsibilities
- Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc.
- Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.
- Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.

A day in the life
This team is a dynamic group of data engineering and analytics professionals dedicated to developing innovative data products, providing data-driven services, and empowering the organization with robust business intelligence. Composed of talented individuals from diverse backgrounds, we foster a collaborative culture of excellence, knowledge-sharing, and collective problem-solving.

We are committed to staying at the forefront of data trends, continuously expanding our expertise to deliver tailored solutions that address our stakeholders' evolving needs.

About the team
Amazon Digital Acceleration powers ordering, subscriptions, and device management for Prime, Amazon Video, Music, Audible, Alexa, and Kindle, amongst other digital businesses. We process billions of digital purchases every year and enable our digital businesses to grow their businesses worldwide. We are on a mission to be earth's best provider of one-time and recurring digital commerce, delivering a seamless and enjoyable post-purchase customer experience.- Bachelor's degree
- 3+ years of data engineering experience
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience working on and delivering end to end projects independently
- Coding proficiency in at least one programming language (Python, Ruby, Java, etc)- Master's degree
- 5+ years of data engineering experience
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Knowledge of Engineering and Operational Excellence using standard methodologies.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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