Data Engineer II, Talent Development

Growth and Onboarding team's mission is to make it easier for Amazonians to build rewarding careers in Amazon's peculiar culture. To deliver on this mission, the Growth and Onboarding tech team is building onboarding and growth tools (Grow). Grow enables Amazonians to get personalized experiences to help them deliver for customers from Day 1. As a Data Engineer on Growth and Onboarding, you will be responsible for the design, development, and deployment of data architectures and pipelines for a new platform that supports the growth and development of Amazonians. As a Data Engineer, you will set a high bar throughout the data engineering lifecycle, including design, development, documentation, testing, and operations. You will collaborate closely with BI Engineers, Software Engineers, Data Scientists, and Learning Scientists to deliver high-quality data pipelines and architecture. You must be able to think and act both strategically and tactically. We're working hard, having fun, making history; come join us! Key job responsibilities Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. Contribute to the architecture and implementation of next generation data solutions from the ground up. Manage AWS resources including S3, Athena, Batch, lambda etc. Optimize automated processes for performance and fault tolerance. Optimize support for ad-hoc analysis across various data sources Collaborate with BI Engineers, Software Engineers, and cross-functionally to deliver high quality data architecture and pipelines. Make large and/or complex data more accessible, understandable and usable by applications and teams. Basic Qualifications - 3+ years of data engineering experience

• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
• 3+ years of in the job offered or a related occupation experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
• 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 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually #J-18808-Ljbffr Socket