🏢 Company Overview:
Amazon is a global technology leader in e-commerce, cloud computing, and data-driven innovation. The company focuses on building scalable, high-performance systems that support millions of users worldwide. Amazon provides a collaborative environment for engineers to develop cutting-edge solutions and advance their careers.
💼 Job Details:
- Employment type: Full Time
- Experience: Intern
- Salary: ₹5,000 – ₹10,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
Amazon is seeking a skilled Data Engineer to design, build, and maintain data pipelines and architectures that enable advanced analytics and reporting. The ideal candidate will have experience working with large datasets, cloud platforms, and ETL processes to deliver reliable, scalable, and efficient data solutions.
🔑 Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes
- Integrate data from multiple sources into structured and unstructured formats
- Collaborate with data scientists, analysts, and product teams to support analytics needs
- Optimize data storage, retrieval, and processing for performance and reliability
- Ensure data quality, consistency, and security across all systems
- Participate in code reviews, documentation, and best practices implementation
- Troubleshoot and resolve data-related issues
🛠️ Required Skills & Qualifications:
- Strong experience with SQL, Python, and ETL tools
- Experience with cloud platforms such as AWS (Redshift, S3, Glue)
- Knowledge of big data technologies like Hadoop, Spark, or Kafka
- Understanding of data modeling, warehousing, and database design
- Strong problem-solving and analytical skills
- Excellent communication and teamwork abilities
- Bachelor’s degree in Computer Science, Information Systems, or related field
🌟 Benefits:
- Opportunity to work on large-scale data engineering projects
- Exposure to advanced analytics and cloud technologies
- Flexible work arrangements including remote and hybrid options
- Professional growth and skill development opportunities
- Collaborative and innovative work environment
