Amazon has announced its latest Amazon Recruitment 2025 drive for the role of Data Engineer I, a strong opportunity for candidates looking to build a career in data engineering with one of the world’s most innovative technology companies. As part of Amazon’s Data Engineering team, this role offers an exciting chance to work on large-scale data systems, advanced analytics, and cutting-edge machine learning initiatives. Whether you are exploring off campus drive opportunities or searching for freshers hiring roles that also welcome early professionals, this position is worth considering.
Amazon Recruitment 2025
| Category | Details |
|---|---|
| Company Name | Amazon |
| Job Role | Data Engineer I |
| Job ID | 3126577 |
| Qualification | Relevant technical degree (data-related domains preferred) |
| Experience Required | 1+ years in Data Engineering |
| Skills Required | SQL, ETL/ELT, Data Modeling, Python/Scripting, AWS/Big Data Tools |
| Location | Hyderabad (ADCI HYD 13 SEZ) |
| Salary | Competitive, based on Amazon pay standards |
Job Overview
The Data Engineer I role at Amazon is designed for candidates who are passionate about working with massive datasets, building scalable data pipelines, and creating robust data solutions that power analytics and business intelligence. This position is located at ADCI HYD 13 SEZ, offering exposure to a dynamic environment where innovation drives everyday work.
As a Data Engineer, you will lead data initiatives, architect advanced data ecosystems, and ensure data systems are stable, secure, and optimized for performance. The role combines technical leadership with hands-on data engineering, making it suitable for professionals with at least one year of experience in data engineering.
Key Responsibilities
As part of this Amazon recruitment 2025 drive, the selected Data Engineer I will contribute to several critical functions within the Data Engineering ecosystem. Key responsibilities include:
1. Leading Data Engineering Initiatives
You will provide technical leadership to build end-to-end analytical solutions that are highly available and scalable. This includes architecting data systems that support advanced analytics, machine learning, and deep learning models.
2. Building High-Performance Data Structures
The role involves designing, implementing, and maintaining large-scale and high-volume data structures optimized for analytics and data science workloads. These data structures form the backbone of Amazon’s decision-making systems.
3. Implementing ETL/ELT Pipelines
You will develop efficient ETL and ELT pipelines using leading AWS technologies and big data tools. Ensuring data quality, integrity, and consistency will be an essential part of your daily responsibilities.
4. Collaborating Across Teams
You will work closely with engineers, scientists, and analysts to ensure best practices in data modeling, ingestion, validation, and documentation. This collaboration ensures that Amazon’s data systems evolve alongside business needs.
5. Identifying Improvement Opportunities
Another key responsibility is identifying areas where current data solutions can be enhanced. This includes improving performance, reducing cost, and increasing scalability.
Skills Required
To succeed as a Data Engineer I at Amazon, candidates must possess strong technical skills and a solid understanding of modern data ecosystems. The essential skills include:
Basic Qualifications
- Minimum 1 year of hands-on experience in data engineering
- Strong experience writing SQL queries
- Knowledge of data modeling and data warehousing concepts
- Experience building ETL pipelines
- Proficiency in one or more query languages such as SQL, PL/SQL, HiveQL, SparkSQL, or Scala
- Experience with scripting languages like Python or KornShell
Preferred Qualifications
Amazon prefers candidates with additional knowledge in big data and ETL technologies, including:
- Hadoop, Hive, Spark, EMR
- ETL tools like Informatica, Datastage, ODI, SSIS, or BODI
Having experience with AWS cloud tools is a significant advantage, as Azure and Google Cloud exposure also adds value.
Why Join Amazon?
Amazon is known for fostering an inclusive, innovative, and growth-oriented work culture. As part of the Data Engineering team, you will work with some of the brightest minds in data science, analytics, machine learning, and cloud architecture. The company encourages experimentation, research, and hands-on problem-solving, making it an excellent platform for advancing your data engineering career.
Additionally, the scale at which Amazon operates offers unmatched learning opportunities. Most projects involve complex datasets, cutting-edge analytics, and advanced technologies—ensuring that your work has real impact.
Salary Details
While Amazon does not publicly disclose the exact salary for this position, the compensation for Data Engineer roles at Amazon is known to be highly competitive. The package typically includes base pay, performance bonuses, and additional benefits. With Amazon Recruitment 2025 focusing on high-quality talent, candidates can expect strong industry-standard compensation aligned with experience and skill set.
Hiring Location
This role is based in Hyderabad, specifically at ADCI HYD 13 SEZ, one of Amazon’s major technology hubs in India. The location provides access to modern office infrastructure, a collaborative working environment, and convenient connectivity for daily commuters.
How to Apply
Interested candidates can apply for the Amazon Data Engineer I off campus drive through the official Amazon Careers portal. Applicants should search for Job ID: 3126577 to locate the specific posting. The application process requires submitting a resume, profile details, and relevant experience documentation.
Amazon also provides accommodations for candidates with disabilities, ensuring an accessible and fair hiring experience.
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About the Company
Amazon is a global leader in e-commerce, cloud computing, digital streaming, and artificial intelligence. With operations across the world, Amazon continues to build customer-centric solutions that rely heavily on deep data insights. The company focuses on experimentation, innovation, and engineering excellence, making it an ideal environment for those aspiring to work with complex datasets, large-scale technology platforms, and intelligent business systems.
The Data Engineering team at Amazon collaborates closely with Applied Scientists, Data Scientists, and Economists. Their work supports some of Amazon’s most critical projects—turning research and experiments into production systems that directly impact millions of users.
