🏢 Company Overview:
Amazon is a global leader in e-commerce, cloud computing, and technology innovation. The company provides a dynamic and collaborative environment where professionals can work on cutting-edge data solutions, helping drive business decisions and improve customer experiences worldwide.
💼 Job Details:
- Employment type: Full Time
- Experience: 4+ Years
- Salary: ₹35,000 – ₹65,000 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 highly skilled Lead Data Engineer to design, implement, and maintain scalable data infrastructure. The ideal candidate will have extensive experience in data engineering, cloud platforms, and big data technologies. The role involves leading a team of engineers to develop efficient data pipelines, ensuring data quality, and enabling data-driven insights for business stakeholders.
🔑 Key Responsibilities:
- Lead the design and implementation of robust and scalable data pipelines
- Manage ETL processes, data ingestion, and integration from multiple sources
- Collaborate with data scientists, analysts, and product teams to support business initiatives
- Optimize data storage, processing, and retrieval for performance and efficiency
- Ensure data governance, security, and compliance standards are met
- Mentor and guide junior data engineers and team members
- Stay updated with emerging data engineering technologies and best practices
🛠️ Required Skills & Qualifications:
- Strong experience with SQL, NoSQL databases, and data warehousing solutions
- Proficiency in Python, Java, or Scala for data engineering tasks
- Experience with big data platforms such as Hadoop, Spark, or AWS services
- Knowledge of cloud data platforms (AWS, Redshift, S3, Lambda)
- Strong problem-solving, analytical, and leadership skills
- Excellent communication and teamwork abilities
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
🌟 Benefits:
- Opportunity to work on large-scale data projects with global impact
- Flexible working arrangements including remote and hybrid options
- Professional growth and mentorship opportunities
- Collaborative and innovative work environment
