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Home›Jobs›Amazon›Data Engineer II, ShipTech Analytics
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 II, ShipTech Analytics

Amazon • Hyderabad, Telangana, IND

Posted 2 months ago🏛️ On-SiteMid-LevelData engineer📍 Hyderabad
Apply Now →

Job Description

ShipTech Analytics (STA) is on a mission to revolutionize Amazon's global transportation network through data-driven innovation and artificial intelligence. Our vision is to be the central nervous system of Amazon's transportation operations, providing real-time insights, diagnostive analytics, and AI-powered decision-making capabilities that drive operational excellence across the network.

As a Data Engineer, you'll be building and scaling mission-critical data products that power worldwide operations business decisions. In this role, you'll drive technical excellence while building data infrastructure and products. You'll be working on scalable solutions that process petabytes of data daily, serving diverse user personas from front-line operators to corporate leadership. We expect you to bring strong technical acumen to solve difficult problems at scale, while maintaining high operational standards and driving innovation in both traditional analytics and AI/ML domains.

Key job responsibilities
• Design and implement scalable, secure data pipelines and infrastructure using AWS technologies and big data tools
• Build and maintain high-performance ETL processes that handle large-scale, complex datasets
• Architect end-to-end analytical solutions that are highly available, stable, and cost-effective
• Transform raw data into actionable insights through effective data modeling and integration
• Implement best practices in data system creation, data integrity, and documentation
• Proactively identify opportunities for process improvement and automation
• Partner with business stakeholders to gather requirements and translate them into technical solutions- 3+ years of data engineering experience
- 4+ years of SQL 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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