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Home›Jobs›Amazon› Data Engineer, AFT BI Content
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, AFT BI Content

Amazon • Hyderabad, Telangana, IND

Posted 1 month ago🏛️ On-SiteMid-LevelData engineer📍 Hyderabad
Apply Now →

Skills & Technologies

AWSRedshiftEtlBigQueryPython

Job Description

Have you ever ordered a product from Amazon and been amazed at how fast it gets to you?

Every day Amazon engineers are relentlessly working to decrease the time between Click to Deliver for your products. The Amazon Fulfillment Technologies (AFT) team owns all of the software and infrastructure which powers Amazon's world-class fulfillment engine. Our team is building complex, massive data systems to capture data during every step in the automated pipeline and use that data to proactively predict efficiency and cost improvements to deliver the packages fast to our customers.

As an Amazon.com Big Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should be skilled in the architecture of DW solutions for the Enterprise using multiple platforms (RDBMS, Columnar, Cloud). You should have experience in the design, creation, management, and business use of extremely large data-sets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all, you should be passionate about working with huge data sets and someone who loves to bring data-sets together to answer business questions and drive change.

As a Big Data Engineer in this role, you will develop new data engineering patterns that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You will also be assisting with integrating the Redshift platform as our primary processing platform to create the curated Amazon.com data model for the enterprise to leverage. You will be part of a team that builds the next generation data warehouse platform and to drive the adoption of new technologies and new practices in existing implementations. You will be responsible for designing and implementing the complex ETL pipelines in data warehouse platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision-making at Amazon.com.

About the team
Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.- 4+ years of SQL experience
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines- 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)

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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