Amazon is hiring for the position of Data Engineer in Hyderabad for the year 2026. This role is part of the ShipTech Analytics (STA) team, which serves as the data and analytics backbone for Amazon’s global transportation network. If you have 1+ years of data engineering experience with strong SQL and Python skills, this Amazon Data Engineer Hiring 2026 opportunity deserves your immediate attention.
Why This Job Is Trending
The Amazon Data Engineer Hiring 2026 is gaining significant attention because Amazon is one of the world’s largest and most innovative companies. This role offers the chance to build the data and analytics backbone powering Amazon’s global transportation network. You’ll work on building standardized data solutions that empower operations teams worldwide, develop both near-real-time streaming pipelines and batch processing pipelines, and contribute to innovative AI-powered solutions. Data engineers with experience in AWS technologies and big data platforms are actively applying for this Hyderabad-based opportunity.
Job Details Table
| Job Role | Data Engineer |
|---|---|
| Company | Amazon |
| Location | Hyderabad |
| Work Mode | Onsite |
| Job Type | Full Time |
| Experience | 1+ years |
| Qualification | Bachelor’s or Master’s in Computer Science, IT, or related field |
| Industry | E-commerce, Cloud Computing, Technology |
| Skills | SQL, Python, Spark, AWS (Redshift, S3, Glue, EMR), Data Modeling |
About the Company
Amazon is a global technology leader operating in e-commerce, cloud computing (AWS), digital streaming, and artificial intelligence. In India, Amazon has major development centers in Hyderabad, Bangalore, Chennai, and Pune, working on cutting-edge projects that impact millions of customers worldwide. The ShipTech Analytics team serves as the data and analytics backbone for Amazon’s global transportation network, building standardized data solutions that streamline analytics and enable faster decision-making for operations teams across the globe.
About the Team
ShipTech Analytics (STA) is the team behind the data and analytics infrastructure powering Amazon’s global transportation network. The team builds standardized data solutions that streamline analytics and enable faster decision-making for operations teams worldwide. Team members collaborate with cross-functional partners to deliver data products and tools. The team is modernizing systems, building near-real-time architectures, and creating AI-powered automation. Team members have opportunities to mentor others, prototype new ideas, and shape the future of data analytics. The team values collaboration across geographies with members in multiple locations working together to serve global operations.
Key Responsibilities
- Design and build scalable near-real-time (NRT) streaming and batch data pipelines supporting Amazon’s global transportation network
- Build data products and data tools that streamline the complete data lifecycle including data ingestion, processing, backfill, storage, vending, and operational support modules
- Partner closely with stakeholders across operations and analytics teams to understand requirements, design solutions, and deliver datasets and data tools that enable faster, more informed decision-making
- Own data quality and implement enhancements for datasets that enable operational excellence and improve customer experience
- Collaborate with cross-functional teams to standardize analytics capabilities and build AI-powered automation
- Leverage AWS cloud technologies to transform raw data into actionable metrics
- Drive continuous improvement through code reviews, design discussions, operational best practices, and security compliance
Required Skills
- 1+ years of data engineering experience
- Strong experience with SQL for data querying and manipulation
- Experience with data modeling, data warehousing, and building ETL pipelines
- Proficiency in one or more scripting languages (Python, KornShell, Scala)
- Understanding of data quality and data governance principles
- Strong problem-solving and analytical skills
- Good communication and collaboration abilities
Skills That Increase Your Selection Chances
- Experience with big data technologies such as Hadoop, Hive, Spark, EMR
- Experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Knowledge of near-real-time streaming architectures
- Familiarity with data vending and operational support modules
- Understanding of AI-powered automation and machine learning concepts
- Experience working in cross-functional teams
- Contributions to open-source data projects
A Day in the Life
As a Data Engineer at Amazon, you work backwards from what stakeholders need, clarifying ambiguities and building data products and tools. Throughout the day, you’re writing code for data pipelines and building tools that handle ingestion, processing, storage, and vending alongside software engineers. Some days you’re in design discussions about data infrastructure, pipelines, and tools. Beyond coding, you’re documenting datasets, tools, and runbooks, and participating in code reviews. When on-call, you monitor pipeline health. What makes the role interesting is the variety – you’re partnering with stakeholders, TPMs, and SDEs building scalable data pipelines and tools that directly affect how Amazon’s transportation network operates.
Expected Salary
Amazon offers highly competitive compensation packages for Data Engineer roles in Hyderabad. The expected annual salary ranges from ₹16 lakhs to ₹28 lakhs depending on experience, skills, and interview performance. The comprehensive package includes base salary, performance bonuses, restricted stock units (RSUs), health insurance, and other benefits.
Career Tip
Focus on building strong fundamentals in SQL and Python, as these are core requirements for data engineering roles. Gain hands-on experience with AWS services, particularly those related to data processing (Redshift, S3, Glue, EMR). Understanding big data technologies like Spark and Hadoop will significantly strengthen your profile. During interviews, be prepared to discuss real-world examples of data pipelines you’ve built, challenges you’ve overcome, and how you ensured data quality. Amazon’s leadership principles are also important – prepare stories that demonstrate customer obsession, ownership, and bias for action.
Hiring Alert
The Amazon Data Engineer Hiring 2026 is actively accepting applications for the Hyderabad location. This role is with the ShipTech Analytics team, and applications are reviewed on a rolling basis. Early applicants have a significant advantage. Shortlisted candidates will go through technical assessments and interviews.
How to Apply
Apply Here (Official Company Careers Page)
Visit the official Amazon jobs website and search using the job title “Data Engineer” or job requisition ID 3192579. Complete your profile, upload your updated resume, and submit your application. Ensure your resume highlights your data engineering experience, SQL skills, Python expertise, and any AWS or big data projects.
Important Note
Amazon never asks for fees or deposits in any form during the recruitment process. Be aware of potential frauds and only apply through official Amazon careers channels.
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