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

About Us

At Amazon, we're revolutionizing the way people live, work, and shop. As a multinational e-commerce and technology company, we're constantly pushing the boundaries of innovation and customer experience. With a presence in over 180 countries, we're a global leader in cloud computing, artificial intelligence, and more. Our mission is to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online.

Job Description

We're seeking an experienced Full Stack Data Engineer to join our team in California, USA. As a key member of our Data Engineering team, you'll play a critical role in designing, building, and managing our cloud-based data warehouse. You'll work closely with our business partners, software development teams, and research partners to develop cutting-edge solutions that deliver an exceptional customer experience.

Key Responsibilities

* Design, build, and manage our cloud-based data warehouse, ensuring data quality, security, and scalability. * Develop and maintain ETL pipelines, data models, and data visualizations to support business intelligence, data analytics, and machine learning use cases. * Collaborate with cross-functional teams to identify data requirements, design data architectures, and implement data solutions. * Develop and maintain data pipelines, data warehouses, and data lakes using cloud-based technologies such as AWS, Azure, or Google Cloud. * Ensure data security, compliance, and governance, adhering to Amazon's data security and compliance standards. * Mentor and coach junior engineers on data engineering best practices, data modeling, and data visualization. * Stay up-to-date with emerging trends and technologies in data engineering, data science, and machine learning.

Essential Capabilities

* Bachelor's degree in Computer Science, Information Technology, or related field. * 3+ years of experience in data engineering, data warehousing, and ETL pipeline development. * Proficiency in SQL, data modeling, and data visualization tools such as Tableau, Power BI, or D3.js. * Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud. * Strong understanding of data security, compliance, and governance principles. * Excellent communication, collaboration, and problem-solving skills.

Preferred Capabilities

* Experience with big data technologies such as Hadoop, Hive, Spark, or NoSQL databases. * Familiarity with data science and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. * Experience with containerization using Docker or Kubernetes. * Knowledge of DevOps practices and tools such as Jenkins, GitLab, or CircleCI. * Certification in data engineering, data science, or cloud computing.

About Amazon

Amazon is a multinational e-commerce and technology company based in Seattle, Washington, USA. Founded by Jeff Bezos in 1994, Amazon has grown to become one of the world's largest online retailers and a leader in cloud computing, artificial intelligence, and more. We're known for our customer-obsessed culture, innovation, and commitment to excellence.

Benefits

As an Amazon employee, you'll enjoy a comprehensive benefits package, including: * Health insurance: Amazon provides comprehensive medical, dental, and vision insurance for eligible employees and their families. * Retirement savings: Amazon offers a 401(k) plan with a company match to help employees save for retirement. * Stock options: Amazon employees may be eligible for stock options or grants, allowing them to become partial owners of the company. * Paid time off: Amazon employees receive paid vacation days, sick leave, and other types of paid time off. * Employee discounts: Amazon employees enjoy discounts on Amazon services and products. * Training assistance: Amazon provides training support packages to help employees pursue higher education or skill development. * Career advancement opportunities: Amazon is known for promoting from within and offering diverse opportunities for professional growth. * Parental leave: Amazon provides parental leave benefits to support employees during critical family events, such as the birth or adoption of a child. * Wellbeing programs: Amazon offers wellbeing programs and resources to support employees' physical and mental health. * Flexible work arrangements: Amazon offers flexible work arrangements, including remote work options. * Employee assistance program (EAP): Amazon provides an EAP to offer confidential counseling and support services for employees and their families.

How to Apply

If you're passionate about data engineering, cloud computing, and innovation, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you! Apply for this job