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Home›Jobs›Amazon›Global Lease Data Management, LeaseTech
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

Global Lease Data Management, LeaseTech

Amazon • Arlington, Virginia, USA

Posted 6 months ago🏛️ On-SiteMid-LevelData engineer📍 Arlington
Apply Now →

Job Description

Are you interested in transforming how global organizations manage and integrate complex data systems? Do you want to be part of a team that develops enterprise-scale data solutions for real estate management? Are you passionate about building efficient data pipelines and implementing automated solutions? If you're an engineer who enjoys working with diverse data sources and creating robust integration systems, this is an excellent opportunity for you. Our ideal candidate has strong programming skills, expertise in data modeling and ETL processes, and the ability to optimize database performance while ensuring data integrity and security.

Key job responsibilities
This Data Engineer role is crucial to delivering strategic data integration initiatives and managing our evolving real estate data infrastructure. You'll spearhead key projects including data mart migrations, AI-enabled database creation, and integration enrichments. Working across multiple systems in a global environment, you'll implement and maintain data solutions that ensure accurate and timely data flow for lease administration and accounting. This position requires strong technical skills in AWS services, database management, and ETL processes, combined with solid analytical and problem-solving abilities. You'll collaborate with stakeholders across the organization to understand requirements and deliver effective solutions.

Technical expertise in data engineering is required for this position. The ideal candidate will have knowledge of AWS services (including S3, Redshift, Lambda, and Glue), experience with SQL databases, and familiarity with ETL solutions. You'll be responsible for maintaining data pipelines between enterprise systems, implementing automated data quality checks, and contributing to the development of our AI-driven data solutions. The role requires someone who can assess technical challenges, propose solutions, and work collaboratively across teams to implement improvements. You should be capable of understanding technical constraints and business needs while following best practices for data governance and compliance.

About the team
LeaseTech manages and supports Amazon's global real estate lease administration technology infrastructure by providing standardized tools, training, and processes to ensure accurate lease accounting, payments, and reporting across business units and regions. Our team is responsible for integrating data from multiple enterprise sources to create a seamless and efficient lease management ecosystem. We're committed to continuous improvement and innovation in how we handle lease data management on a global scale.- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL- 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)

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.

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