Amazon is hiring for the position of Data Engineer – ShipTech Analytics in Hyderabad, Telangana, India. This role is part of Amazon’s ShipTech Analytics team, which builds large-scale data platforms that support logistics, transportation systems, and supply chain intelligence across Amazon’s global network. The position is suitable for candidates with strong data engineering skills and analytical thinking who want to work with large datasets and scalable data infrastructure.
Job Details
- Company: Amazon
- Position: Data Engineer – ShipTech Analytics
- Location: Hyderabad, Telangana, India
- Employment Type: Full-Time
- Experience Level: 1+ Year Experience (Freshers with strong skills may apply)
- Qualification: Bachelor’s or Master’s Degree in Computer Science, Engineering, Mathematics, or related technical field
Role Overview
The Data Engineer – ShipTech Analytics role at Amazon focuses on building scalable data pipelines, managing large datasets, and supporting advanced analytics used in Amazon’s transportation and logistics systems. Data Engineers collaborate with analysts, data scientists, and software engineers to design reliable data infrastructure that powers operational insights and business decisions.
This role requires strong programming skills, database knowledge, and the ability to process large volumes of structured and unstructured data efficiently.
Key Responsibilities
Data Pipeline Development
- Design and build scalable data pipelines and ETL processes
- Develop systems that collect, transform, and store large datasets
- Maintain reliable data workflows used for analytics and reporting
Data Infrastructure Management
- Work with large data platforms and distributed systems
- Ensure data reliability, integrity, and performance
- Optimize data storage and processing systems
Analytics and Data Collaboration
- Collaborate with data scientists and analysts to support analytics projects
- Provide clean, structured datasets for business intelligence
- Support dashboards, reporting tools, and analytics frameworks
System Optimization
- Improve performance and scalability of data systems
- Troubleshoot and resolve data pipeline issues
- Implement monitoring and automation for data workflows
Required Technical Skills
Candidates applying for this role should ideally have:
- Strong knowledge of SQL and relational databases
- Programming skills in Python, Java, or Scala
- Experience with ETL tools and data processing frameworks
- Understanding of data structures and algorithms
- Knowledge of distributed systems and big data technologies
Preferred Skills
- Experience with AWS cloud services
- Familiarity with data warehousing technologies
- Knowledge of big data tools such as Hadoop or Spark
- Experience with data modeling and data architecture
Who Should Apply
This role is suitable for:
- Engineers with data engineering or analytics experience
- Candidates with strong SQL and programming skills
- Professionals interested in big data systems and analytics platforms
- Developers who want to work on large-scale data infrastructure
Career Growth Opportunities
Starting as a Data Engineer at Amazon can lead to roles such as:
- Senior Data Engineer
- Data Architect
- Machine Learning Engineer
- Analytics Engineer
- Engineering Manager
Amazon provides opportunities to work with cutting-edge technologies, large datasets, and global engineering teams.
How to Apply
Candidates interested in this opportunity should apply through Amazon’s official careers portal. Review the complete job description, ensure eligibility requirements are met, and submit your application online.
Final Career Insight
The Amazon Data Engineer – ShipTech Analytics role in Hyderabad offers an excellent opportunity to work on large-scale data systems that power Amazon’s global logistics network. Engineers in this role gain hands-on experience with big data technologies, cloud platforms, and advanced analytics, providing a strong foundation for long-term careers in data engineering and data architecture.
