Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.Data team builds the foundational data infrastructure and analytics tools that power Amazon's hiring decisions. We create secure, scalable solutions that enable teams across ITA to access and analyze recruitment data effectively while maintaining data integrity.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 solutionsA day in the lifeWithin ITA, the Data team delivers high-quality recruiting data, reusable tools, and analytics reporting to Amazon Talent Acquisition customers. The Data team is the engine behind ITA’s success, creating pathways to information upon which all of the organization’s products are built and enabling Amazon to make correct hiring decisions a million times over. Focused on building scalable long term solutions, the team empowers engineers and consumers to develop, access, and analyze data independently with a high degree of data privacy and integrity. As a member of the Data team, you will deliver robust data solutions that drive fair and efficient hiring and rapidly evolve with the needs of the business.Within ITA, the Data team delivers high-quality recruiting data, reusable tools, and analytics reporting to Amazon Talent Acquisition customers. The Data team is the engine behind ITA’s success, creating pathways to information upon which all of the organization’s products are built and enabling Amazon to make correct hiring decisions a million times over. Focused on building scalable long term solutions, the team empowers engineers and consumers to develop, access, and analyze data independently with a high degree of data privacy and integrity. As a member of the Data team, you will deliver robust data solutions that drive fair and efficient hiring and rapidly evolve with the needs of the business.
Locations
United States, WA, Seattle, Seattle, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
150,000 - 220,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- 3+ years of data engineering experienceintermediate
- Experience with data modeling, warehousing and building ETL pipelinesintermediate
- Experience with SQLintermediate
Required Qualifications
- 3+ years of data engineering experience (experience, 3 years)
- Experience with data modeling, warehousing and building ETL pipelines (experience)
- Experience with SQL (experience)
Preferred Qualifications
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions (experience)
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) (experience)
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. (experience)
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
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