Description Amazon operates a world-class network of large, technologically advanced fulfillment centers and supporting operations across the world. The Global Realty (GR) organization is responsible for acquisition, and disposition of all facilities in the Amazon Fulfillment Network. The GR Data Engineering team is seeking an exceptional Data Engineer to join the team. If you are passionate about Big Data technologies, build scalable real time analytical solutions, relentless in ensuring data quality and reliability, and feel comfortable communicating at different levels of leadership, you are the candidate we are looking for! This role requires deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build ETL to ingest the data into the data lake. You should be an authority at crafting, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data lake. Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive growth. As a Data Engineer, you will envision, design and develop data solutions to improve the GR business. You will be responsible for designing and implementing scalable data/ETL pipelines leveraging big data technologies and modern BI products to effectively meet the rapidly growing and dynamic demands of rich data. You will help org move towards data as a service model to improve influence on day-to-day business decisions. You will influence and guide other data engineers, business intelligence engineers, tech team members and leaders to make informed data decisions. Key job responsibilities - Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal Amazon tools (Datanet, Cradle, QuickSight etc.) - Improve existing solutions and come up with next generation GR Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security. - Develop new data models and end to end data pipelines. - Lead design reviews for other Data Engineers on the team and actively participate in design reviews of related GR tech products. - Provide technical and thought leadership for Data Engineering and Business Intelligence within GR org. - Create and implement Data Governance strategy for mitigating privacy and security risks. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan About the team The GR Data Engineering team’s vision is to build best-in-class analytics solutions to support our internal and external GR stakeholders and partners for making data driven decisions org-wide. In our team, you will have the opportunity to dive deep into complex business and data problems, drive high-impact and large scale data solutions and raise the bar for engineering and operational excellence. We care about your career growth. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our technology and our people will grow with it. Basic Qualifications - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Bachelor's degree Preferred Qualifications - 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) - Master's degree 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.