**Experienced Full Stack Data Engineer – Cloud-Based Data Pipeline Development and Management**

Are you a highly skilled and motivated data engineer looking for a challenging and rewarding role in a dynamic and innovative company? Do you have a passion for designing and developing scalable and efficient data pipelines, and a strong desire to work in a fast-paced and collaborative environment? If so, we may have the perfect opportunity for you. At Amazon, we are committed to innovation and excellence in all that we do. Our Information Stage group is at the forefront of this effort, creating and maintaining the infrastructure that enables Amazon's data-driven decision-making. With over 220 billion events processed every day, our data pipeline is a critical component of our business, and we are seeking an experienced full stack data engineer to join our team. **About the Role** As a full stack data engineer at Amazon, you will be responsible for designing, developing, and maintaining our data pipeline, which is the backbone of our business. You will work closely with our data scientists, engineers, and other stakeholders to ensure that our data is accurate, reliable, and easily accessible. Your responsibilities will include: * Designing and implementing data pipelines that are scalable, efficient, and secure * Developing and maintaining data quality control processes to ensure data accuracy and reliability * Collaborating with data scientists and engineers to develop and implement data analytics solutions * Working with cross-functional teams to identify and prioritize data-related projects and initiatives * Developing and maintaining documentation and knowledge base for data pipeline and related systems * Troubleshooting and resolving data-related issues and errors **Key Responsibilities** * Design and implement data pipelines that are scalable, efficient, and secure * Develop and maintain data quality control processes to ensure data accuracy and reliability * Collaborate with data scientists and engineers to develop and implement data analytics solutions * Work with cross-functional teams to identify and prioritize data-related projects and initiatives * Develop and maintain documentation and knowledge base for data pipeline and related systems * Troubleshoot and resolve data-related issues and errors **Essential Qualifications** * Bachelor's degree in Computer Science, Information Technology, or related field * 2+ years of experience in data engineering, programming, or related field * Strong understanding of data modeling, data warehousing, and data analytics * Experience with data pipeline development and management using tools such as Apache Beam, Apache Spark, and AWS Glue * Strong programming skills in languages such as Java, Python, and Scala * Experience with cloud-based data storage and processing using AWS services such as S3, EMR, and Redshift * Strong understanding of data security and compliance regulations **Preferred Qualifications** * Experience with petabyte-scale data processing and management * Experience with Amazon Web Services and Apache Druid * Strong understanding of data governance and data quality control * Experience with data visualization and reporting tools such as Tableau and Power BI * Strong communication and collaboration skills **What We Offer** * Competitive salary and benefits package * Opportunities for career growth and professional development * Collaborative and dynamic work environment * Flexible work arrangements and remote work options * Access to cutting-edge technology and tools * Opportunities to work on high-impact projects and initiatives * Recognition and rewards for outstanding performance **About Our Company** Amazon is a leading e-commerce company that is committed to innovation and excellence in all that we do. Our Information Stage group is at the forefront of this effort, creating and maintaining the infrastructure that enables Amazon's data-driven decision-making. With over 220 billion events processed every day, our data pipeline is a critical component of our business, and we are seeking an experienced full stack data engineer to join our team. **How to Apply** If you are a motivated and experienced data engineer looking for a challenging and rewarding role in a dynamic and innovative company, please submit your application today. We look forward to hearing from you! **Work Environment and Company Culture** At Amazon, we are committed to creating a work environment that is collaborative, dynamic, and inclusive. Our company culture is built on a set of core values that include: * Customer obsession: We are committed to delivering exceptional customer experiences and exceeding customer expectations. * Ownership: We take ownership of our work and are accountable for our results. * Innovation: We are committed to innovation and continuous improvement in all that we do. * Frugality: We are committed to being efficient and effective in our use of resources. * Long-term thinking: We are committed to making decisions that are in the best interests of our customers and our company in the long term. **Compensation, Perks, and Benefits** At Amazon, we offer a competitive salary and benefits package, including: * Medical, dental, and vision insurance * 401(k) plan with company match * Flexible work arrangements and remote work options * Access to cutting-edge technology and tools * Opportunities for career growth and professional development * Recognition and rewards for outstanding performance **Conclusion** If you are a motivated and experienced data engineer looking for a challenging and rewarding role in a dynamic and innovative company, please submit your application today. We look forward to hearing from you! Apply for this job