Data Engineer, Enterprise Engineering

DescriptionHow often have you had an opportunity to be an early member of a team that is tasked with solving a huge customer need through disruptive, innovative technology, reinventing an industry? Are you passionate about building cutting-edge software solutions that leverage the power of Generative AI? Do you want to be at the forefront of transforming how Amazonians work and collaborate? If so, we want to hear from you!We are working on revolutionizing the way Amazonians work and collaborate. Our team is on a mission to transform productivity through the power of advanced generative AI technologies. In pursuit of this mission we are seeking a motivated Data Engineer to join our team. If you are passionate about Big Data technologies, excel at building scalable real-time analytical solutions, are relentless in ensuring data quality and reliability, and are comfortable communicating with all levels of leadership, you are the perfect candidate for this role!This role requires deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms. You should excel in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with Data Scientists and Engineers across teams. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data.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.Key job responsibilities

3+ years of data engineering experience

Experience with data modeling, warehousing and building ETL pipelines

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.)

Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy

Basic Qualifications

3+ years of data engineering experience

Experience with data modeling, warehousing and building ETL pipelines

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)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.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.