Exciting Amazon Data Engineering Careers for 2026 – Don’t Miss Out!

Are you ready to take your career to the next level in the thriving data engineering field? Amazon is seeking talented Data Engineers to join their dynamic team in Hyderabad, India. This is an incredible opportunity to work at one of the world’s leading tech companies, known for its innovative approach and commitment to excellence. With a focus on Finance Tech, this role will allow you to leverage your skills in data modeling, ETL pipelines, and big data technologies, while working alongside some of the brightest minds in the industry. As the data landscape continues to evolve, the demand for skilled data engineers is on the rise, making this an ideal time to apply for Amazon Data Engineering Job Openings for 2026. Let’s dive into the details of this exciting opportunity!

Key Job Details

• Company: Amazon
• Job Position: Data Engineer, Fintech
• Job Location: Hyderabad, India
• Employment Type: Full Time
• Education Requirement: Graduation
• Experience Required: 1+ years of data engineering experience
• Date Posted: January 6, 2026
• Salary Package: As per Company Standards
• Department: Business Intelligence

About the Role

The Data Engineer position at Amazon is a vital role within the Finance Tech domain. As a Data Engineer, you will be responsible for designing, implementing, and maintaining robust data solutions that provide secured access to large datasets. This position requires a strong understanding of data architecture and the ability to interface with tax, finance, and accounting customers to gather requirements and deliver complete business intelligence (BI) solutions. You will collaborate closely with Finance Analysts to adopt best practices in reporting and analysis, ensuring data integrity and effective test design.

Your role will also involve modeling data and metadata to support both ad-hoc and pre-built reporting, enabling key business decisions through insightful metrics and dashboards. The continuous improvement of ongoing reporting processes and the automation of self-service support for datasets will be key responsibilities. In this fast-paced environment, you will utilize your problem-solving skills to analyze issues at their root and leverage a broad range of Amazon’s data resources to drive efficiency and effectiveness.

Required Skills

• Data Engineering Experience: A minimum of 1 year in data engineering roles, showcasing your hands-on experience.
• SQL Proficiency: Solid experience with SQL and other query languages such as PL/SQL, DDL, MDX, HiveQL, SparkSQL, or Scala.
• Scripting Languages: Familiarity with scripting languages like Python or KornShell to facilitate data processing.
• Big Data Technologies: Knowledge of big data tools such as Hadoop, Hive, and Spark, including experience with AWS EMR.
• ETL Tools: Experience with ETL tools like Informatica, ODI, SSIS, BODI, or Datastage for data pipeline development.

Responsibilities

• Data Platform Development: Design and implement a platform that secures access to large datasets, ensuring compliance and efficiency.
• Collaboration: Work with Finance Analysts to promote best practices in reporting and data analysis.
• Reporting Ownership: Own the design, development, and maintenance of ongoing metrics, reports, and dashboards to support business decisions.
• Performance Tuning: Use profiling tools and AWS services to optimize application and query performance.
• Problem Analysis: Analyze and resolve issues at their root while understanding the broader business context.
• Continuous Improvement: Stay updated on big data technologies and run pilots to enhance data architecture scalability.

Why Join Amazon?

Amazon is not just a workplace; it’s a community that thrives on innovation and collaboration. By joining Amazon, you become part of a culture that values diversity, encourages creativity, and fosters professional growth. The company offers competitive salaries and comprehensive benefits, including health insurance, retirement plans, and opportunities for continuous learning and development. In addition, Amazon’s commitment to sustainability and community involvement provides employees with a sense of purpose beyond their daily tasks. As a Data Engineer, you will have the opportunity to work with cutting-edge technologies and be part of a team that is shaping the future of data-driven decision-making.

Industry Trends and Value

The demand for data engineers is surging as businesses increasingly rely on data to drive their strategies and operations. The rise of big data technologies and the need for robust data solutions in finance and other sectors make this role particularly valuable today. Data engineers are critical in enabling organizations to harness their data effectively, ensuring that insights are derived quickly and accurately. With the ongoing digital transformation across industries, opportunities for skilled professionals in data engineering are expected to grow exponentially, making now the best time to secure a position at a leading company like Amazon.

How to Apply

If you’re ready to embark on an exciting career as a Data Engineer with Amazon, don’t hesitate to take action! This is your chance to join a world-class team and contribute to innovative projects that make a difference.

Apply Here