Amazon Data Engineer I Recruitment 2026

Amazon is a global e‑commerce and cloud computing leader. Its International Seller Services (ISS) Central Analytics Data Engineering team builds data and machine‑learning infrastructure to support applied scientists, data scientists and economists, driving growth for sellers worldwide.

Salary information has not been disclosed in the available job details. Candidates should confirm compensation on the official application page.

Amazon's Selling Partner Insights and Analytics (SPIA) team seeks an experienced Data Engineer to architect and build the data platform powering Paragon, a large Human‑in‑the‑Loop system. The role involves designing scalable, cost‑effective data infrastructure on AWS, defining logical data models, partnering with business owners, and ensuring data availability, consistency, and compliance. Candidates will work with massive datasets, implement ETL/ELT pipelines, and contribute across the full data engineering lifecycle while adhering to Best‑At‑Amazon standards.

• - Design, build and operate large‑scale, high‑volume data pipelines and infrastructure on native AWS services.
• - Implement data ingestion routines using best practices in ETL/ELT and data modeling.
• - Integrate data systems with AWS tools (e.g., EMR, Redshift, Glue, Athena, S3) to support analytics and ML use cases.
• - Optimize existing data solutions for performance, integrity and cost efficiency.
• - Collaborate with engineers, scientists and business stakeholders to translate requirements into robust solutions.
• - Ensure data security, compliance and operational excellence through automation and monitoring.

• - B.E / B.Tech / B.Sc in Computer Science or related fields.
• - 1+ years of data engineering experience.
• - Strong proficiency in SQL and query optimization for large datasets.
• - Experience building ETL pipelines and data warehousing solutions.
• - Hands‑on experience with Python or KornShell scripting.
• - Familiarity with AWS ecosystem and big‑data technologies (Hadoop, Hive, Spark, EMR).
• - Knowledge of ETL tools such as Informatica, Glue, etc. (preferred).

• SQL, ETL, AWS, Big Data (Spark/Hive), Python, Data Modeling, Data Warehousing, Hadoop, Hive, Spark, EMR, Informatica, Glue

Eligibles can apply for this drive online by clicking the link below. All upcoming interview details, exam schedules, and shortlisting updates will be sent directly to your registered email address.

👉 Click Here to Apply: Amazon Official website