Experienced Full Stack Data Engineer – Ring Data Warehouse | Amazon | Remote Work Opportunity

Join the Innovative Team at Amazon Amazon, a pioneer in e-commerce and technology, is seeking a highly skilled and experienced Data Engineer to join our Ring Data Warehouse team. As a Data Engineer II, you will play a crucial role in designing, building, and maintaining large-scale data systems that power our business decisions. This is a full-time remote opportunity, offering the flexibility to work from the comfort of your own home. About the Role As a Data Engineer II on the Ring Data Warehouse team, you will be responsible for gathering and discussing requirements from business partners across various verticals, such as Memberships, Sales, Logistics, Finance, and Product. You will build new data ingestions using a combination of local AWS services and in-house Amazon tools, while maintaining and improving existing data ingestions to ensure they meet evolving standards and corporate mandates. Key Responsibilities: Collaborate with business partners to understand their needs and ensure data ingestions meet their requirements Design, build, and maintain large-scale data systems using AWS services and in-house Amazon tools Develop and implement data pipelines using ETL (Extract, Transform, Load) processes Ensure data quality, integrity, and cleanliness across various data sources Perform code reviews and ensure best practices are followed by colleagues and supporting teams Troubleshoot data-related issues and provide solutions to stakeholders Stay up-to-date with new technologies and business needs, and adapt quickly to changing requirements Requirements and Qualifications Essential Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field 3+ years of experience in data engineering, with a focus on building large-scale data systems Strong understanding of data modeling, warehousing, and ETL pipelines Proficiency in SQL and data querying languages Experience with data storage solutions, such as relational databases and data warehouses Preferred Qualifications: Experience with AWS services, such as Redshift, S3, AWS Glue, EMR, Kinesis, Fire Hose, Lambda, and IAM roles and permissions Proficiency in modern programming languages, such as Python, Java, Scala, or NodeJS Experience with non-relational databases and data stores, such as object storage, document or key-value stores, graph databases, and column-family databases Strong understanding of data architecture and data governance principles What We Offer Competitive Compensation and Benefits: Competitive salary range: $35-$40 per year (dependent on location and experience) Comprehensive benefits package, including medical, dental, and vision coverage Opportunity to participate in Amazon's employee stock purchase plan Flexible remote work arrangement, with the option to work from home Career Growth and Learning Opportunities: Opportunity to work with cutting-edge technologies and innovative solutions Collaborative and dynamic work environment, with a team of experienced professionals Professional development opportunities, including training and mentorship programs Path for career advancement and growth within the company Our Culture and Values At Amazon, we are committed to creating a diverse and inclusive work environment. We believe that a diverse workforce brings different perspectives, ideas, and experiences that drive innovation and success. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. How to Apply If you are a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume and a cover letter, through our website. Required Documents: Qualifications certificate with mark sheets Passport-size photographs Signature We look forward to hearing from you and exploring how you can contribute to our team! Apply now and join the innovative team at Amazon! Apply for this job