Exciting Data Engineering Career Opportunities at Amazon in 2025!
If you are looking to make a significant impact in the world of data engineering, then this is your chance! Amazon is on the lookout for skilled Data Engineers to join their dynamic team in Hyderabad, India. With a focus on building scalable data services and integrating advanced data systems with AWS tools, this role is perfect for those who thrive in a fast-paced environment and are eager to leverage their technical expertise. As businesses increasingly rely on data-driven decisions, the demand for talented professionals in this field continues to grow. Whether you’re an experienced engineer or a recent graduate, Amazon offers an exciting opportunity to contribute to innovative data solutions that support a variety of customer applications. Read on to discover more about this incredible job opening and how you can be part of Amazon’s data revolution!
Key Job Details
- Company: Amazon
- Job Position: Data Engineer I
- Job Location: Hyderabad, India
- Date Posted: November 15, 2025
- Education Requirement: Bachelors/University degree
- Experience Required: 1+ years in data engineering
- Employment Type: Full Time
- Salary Package: As per Company Standards
About the Role
The Data Engineer I position at Amazon is a pivotal role within the Database Administration category. As a Data Engineer, you will work closely with a team of talented engineers to design, implement, and operate large-scale, high-volume data structures tailored for analytics and data science. Your primary responsibilities will include building efficient ETL pipelines, modeling data, and ensuring data integrity across various platforms. This role demands proficiency in SQL and experience with big data technologies such as Hadoop and Spark, along with scripting skills in languages like Python or KornShell. You will gather business requirements and translate them into robust data solutions, ensuring that the architecture is flexible and scalable to handle evolving customer needs. Moreover, you will play a critical role in identifying opportunities for improvement in existing data solutions, which is essential in staying ahead in the competitive tech landscape.
Required Skills
- Data Modeling & Warehousing: Proficiency in creating data models and designing data warehouses to facilitate data access and reporting.
- ETL Pipeline Development: Experience in building Extract, Transform, Load (ETL) pipelines using various ETL tools like Informatica or Datastage.
- Query Languages: Familiarity with one or more query languages such as SQL, PL/SQL, or SparkSQL is essential for effective data manipulation.
- Scripting Languages: Competence in scripting languages, particularly Python or KornShell, to automate data processes.
- Big Data Technologies: Knowledge of big data technologies, including Hadoop, Hive, and EMR, which are critical for handling large datasets.
Responsibilities
- Data Structure Implementation: Design and implement high-performance data structures that meet analytics and data science requirements.
- Data Ingestion Routines: Implement best practices for data modeling and ingestion processes, leveraging AWS technologies.
- Collaboration: Work collaboratively with other engineers to promote best practices in data system creation, ensuring quality and integrity.
- Continuous Improvement: Identify and execute opportunities for enhancing existing data solutions, contributing to overall efficiency.
- Documentation: Maintain thorough documentation of data systems and processes, which is vital for operational success.
Why Join Amazon?
Amazon is renowned for its inclusive and innovative company culture that fosters growth and development. As a Data Engineer, you’ll have access to cutting-edge technologies and the opportunity to work on projects that impact millions of customers worldwide. The company prioritizes employee well-being and offers competitive salaries, comprehensive health benefits, and numerous professional development programs. Joining Amazon means becoming part of a team that values diversity and is committed to excellence, making it one of the best places to work in 2025. You’ll not only advance your career but be part of a mission to continually redefine the customer experience through data innovation.
Industry Trends
The data engineering field is rapidly evolving, with an increasing focus on big data and cloud technologies. Companies are investing heavily in data analytics to drive business decisions and enhance customer experiences. As such, the demand for skilled data engineers is at an all-time high, making this position highly valuable in today’s job market. The integration of AI and machine learning into data operations also presents exciting growth opportunities for professionals in this field. By joining Amazon as a Data Engineer, you will be at the forefront of these industry trends, contributing to significant advancements in data science and analytics.
How to Apply
Ready to take your career to the next level? Don’t miss this chance to join Amazon as a Data Engineer I and be part of a transformative journey in data. Click the button below to apply:


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