🏢 Company Overview:
Amazon is a global leader in e-commerce, cloud computing, and technology innovation. The company provides a dynamic work environment that encourages creativity, collaboration, and the use of cutting-edge technologies. Amazon empowers its teams to build scalable, data-driven solutions that impact millions of users worldwide.
💼 Job Details:
- Employment type: Full Time
- Experience: 1 to 2 Years
- Salary: ₹10,000 – ₹30,000 monthly
- Location: Work For Home
- Work timing: 9:30 AM to 6:30 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
Amazon is seeking an experienced Senior Data Engineer to design, develop, and maintain data pipelines and analytics solutions. The ideal candidate will work with large datasets, implement data integration strategies, and collaborate with data scientists and business stakeholders to enable actionable insights.
🔑 Key Responsibilities:
- Design, develop, and optimize large-scale data pipelines
- Implement ETL processes and data integration solutions
- Work with structured and unstructured datasets from multiple sources
- Ensure data quality, reliability, and performance across systems
- Collaborate with data scientists, analysts, and business teams to support analytics initiatives
- Participate in architecture design, code reviews, and best practice enforcement
- Mentor junior engineers and contribute to team knowledge sharing
🛠️ Required Skills & Qualifications:
- Strong experience with SQL, Python, Java, or Scala for data engineering tasks
- Hands-on experience with big data technologies such as Hadoop, Spark, or AWS data services
- Knowledge of ETL processes, data modeling, and database design
- Familiarity with cloud platforms (AWS preferred) and data warehousing solutions
- Strong problem-solving, analytical, and communication skills
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
🌟 Benefits:
- Opportunity to work on global-scale data engineering projects
- Flexible working arrangements including remote and hybrid options
- Professional growth and mentorship opportunities
- Collaborative and innovative work environment
