Latest Amazon Hiring for Data Engineer I | Amazon Hiring Freshers | Apply Now

Amazon, one of the world’s most innovative technology companies, is hiring for the position of Data Engineer I at its Hyderabad location. This opportunity is ideal for candidates who have at least one year of experience in data engineering and want to contribute to large-scale analytical solutions that power Amazon’s global business operations. If you are passionate about big data, cloud technologies, and scalable system design, this role can be a major step forward in your career.

About the Role: Data Engineer I

Company: Amazon
Role: Data Engineer I
Experience: Minimum 1 year
Education: Graduate / BE / BTech or equivalent
Eligible Batches: 2024 and earlier
Expected Salary: 4–10 LPA
Location: Hyderabad, India

This role is part of Amazon’s Data Engineering team that actively works with Data Scientists, Applied Scientists, Economists, and cross-functional engineering teams. The core objective is to design and operate end-to-end data systems that support machine learning, AI research, and impactful customer-facing products.

What You Will Do in This Role

As a Data Engineer I, you will be responsible for developing high-performance, scalable, and secure data solutions. Your responsibilities may include:

• Designing large-scale data structures for analytics and data science teams.
• Building ETL/ELT pipelines and ingestion routines using AWS and big data technologies.
• Ensuring data reliability, accuracy, and security across multiple business units.
• Translating business requirements into actionable data architecture and engineering plans.
• Collaborating with software engineers, analysts, and scientists to integrate best practices in testing, validation, and documentation.
• Continuously improving existing data systems by identifying gaps, inefficiencies, and bottlenecks.
• Leveraging technologies like SQL, Python, Hadoop, Hive, Spark, and AWS services.

Required Educational Qualifications

To apply for this position, candidates must have:

• A Graduate degree or BE/BTech in computer science, engineering, information technology, or a related discipline.
• Strong foundation in databases, data management, and programming.

Though there is no strict batch restriction, Amazon is accepting candidates from 2024 and earlier.

Expected Salary Range

The estimated salary for this role ranges between:

4 LPA to 10 LPA (Expected)

The actual compensation may depend on factors like:

• Experience level
• Skill proficiency
• Performance in interview rounds
• Company internal guidelines

Amazon also provides additional allowances and benefits beyond the fixed salary.

Application Process

Follow these steps to apply securely:

1. Visit the official Amazon Jobs website.
2. Search for the role using keywords like Data Engineer I or Job ID 3126577.
3. Create an account or log in to your Amazon career profile.
4. Fill in the required details and upload your updated resume.
5. Submit the application and regularly check your email for updates regarding assessments or interviews.

Avoid applying through third-party websites. Amazon communicates only through its verified email channels.

Interview Process

Amazon typically conducts multiple evaluation rounds to assess technical and behavioral fit. The process may include:

1. Application and Resume Screening

Recruiters assess your profile based on qualifications, data engineering experience, and skill sets.

2. Online Assessment

This may include:

• SQL queries
• Data modeling questions
• Logical reasoning
• Coding tasks in Python
• Scenario-based questions on ETL pipelines

3. Technical Interview Rounds

Usually 1–2 rounds covering:

• Data engineering concepts
• Data warehouse design
• Data modeling (fact, dimension, star schema)
• SQL query optimization
• Python scripting
• ETL/ELT best practices
• Hands-on experience with Hadoop, Spark, AWS Glue, or EMR

Interviewers may also present real-time problems and evaluate your approach to structuring large datasets.

4. Amazon Leadership Principles Interview

Amazon places strong emphasis on its 16 Leadership Principles. Expect questions around:

• Ownership
• Bias for action
• Dive deep
• Customer obsession

5. Final Offer

If selected, Amazon will share the offer letter through official channels only.

Benefits of Working at Amazon

Amazon is known for providing industry-leading benefits, including:

• Competitive salary and annual performance bonuses
• Comprehensive medical insurance
• Work-from-office and hybrid options (depending on team policy)
• Professional development through internal training programs
• Opportunity to work on cutting-edge big data and cloud technologies
• Mentorship from senior engineers and data scientists
• Paid leave, parental leave, and wellness programs
• Employee discounts and other perks

Resume Tips for Data Engineer Applicants

To increase your chances of selection:

• Highlight hands-on experience with SQL, Python, ETL pipelines, and AWS services.
• Showcase projects demonstrating data modeling, data pipeline development, or big data processing.
• Include any work involving Hadoop, Spark, Hive, or data warehouses.
• Add metrics: mention how you improved data processing time or optimized a pipeline.
• Keep your resume clean, concise, and technically relevant.
• Add certifications such as:
  • AWS Cloud Practitioner
  • Data Engineering on Google Cloud
  • Databricks Spark Essentials

These help validate your knowledge and strengthen your profile.

Apply Link: Click Here

Important Note

The above article is only for informational purposes. Job openings, eligibility, and requirements may change based on Amazon’s official announcements. Candidates should always apply directly through the official Amazon careers page to ensure authenticity and avoid misleading sources.