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Home›Jobs›Amazon›Data Engineer I, FBA EU
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 ...

🌐 Website💼 LinkedIn𝕏 TwitterAll 92860 jobs →
Amazon

Data Engineer I, FBA EU

Amazon • Hyderabad, Telangana, IND

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

Skills & Technologies

AWSEtlSQLPythonHadoopSparkData modelingData warehousing

Job Description

Join us in the FBA EU Analytics Team and Tackle Data Warehousing, AI initiatives and Reporting Challenges!

Our mission is to deliver data-driven analytical solutions that empower sellers to thrive on Amazon's EU platform. We specialize in constructing and maintaining intricate standard data pipelines , derive and analyze performance of the sellers selling on Amazon.

We are currently in search of a brilliant, self-driven, Data Engineer to join our team. In this role, you will have the opportunity to work on building scalable solutions, including extensive data models and complex ETL pipelines that support AI/ML initiatives while utilizing your expertise to raise the bar on data timeliness, discoverability and availability of the same.

Key job responsibilities
• Design and implement scalable, secure data pipelines and infrastructure using AWS services (eg., Glue, EMR, Lamba)
• 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 using AI- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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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