🏢 Company Overview:
Amazon is a global technology and e-commerce leader, providing innovative solutions across cloud computing, big data, and AI-driven services. The company offers a dynamic and collaborative work environment, enabling engineers to work on large-scale data platforms that impact millions of users worldwide.
💼 Job Details:
- Employment type: Full Time
- Experience: 10 Years
- Salary: 11L to 16L Yeraly
- 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 highly skilled Lead Data Software Engineer to design, develop, and maintain large-scale data platforms and applications. The ideal candidate will provide technical leadership, architect scalable solutions, and oversee a team of engineers to deliver robust, data-driven products.
🔑 Key Responsibilities:
- Lead the design, development, and maintenance of data-intensive applications and platforms
- Architect scalable and high-performance data pipelines and storage solutions
- Collaborate with cross-functional teams to define technical requirements and data solutions
- Oversee code reviews, testing, and deployment of software components
- Mentor junior engineers and provide technical guidance
- Ensure best practices in data quality, security, and performance
- Stay updated on emerging technologies and data engineering trends
🛠️ Required Skills & Qualifications:
- Strong experience with Python, Java, or Scala for data engineering applications
- Expertise in big data technologies such as Hadoop, Spark, or Kafka
- Knowledge of relational and NoSQL databases
- Experience in designing and implementing scalable data pipelines
- Strong problem-solving, analytical, and leadership skills
- Familiarity with cloud platforms (AWS preferred)
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
🌟 Benefits:
- Opportunity to work on large-scale, high-impact data engineering projects
- Flexible work arrangements including remote and hybrid options
- Professional growth and continuous learning opportunities
- Collaborative and innovative work environment
