Data Engineer I

About the role

Amazon's International Seller Services (ISS) Central Analytics team is hiring a Data Engineer I to design, build, and maintain large‑scale data pipelines that support machine‑learning and analytics workloads. The role is based in Bangalore and requires 1+ years of experience with data modeling, ETL processes, and AWS services.

Responsibilities

• Design, develop, and operate high‑volume data pipelines for analytics and data‑science use cases.
• Implement robust data ingestion routines using best‑practice ETL/ELT techniques.
• Integrate data solutions with AWS services such as EMR, Redshift, Glue, Athena, and S3.
• Identify and apply optimizations to improve data integrity, performance, and cost efficiency.
• Collaborate with engineers, scientists, and analysts to translate business requirements into scalable solutions.

Eligibility

• B.E, B.Tech or B.Sc in Computer Science or a related discipline.
• Minimum 1 year of hands‑on data‑engineering experience.
• Strong knowledge of data modeling, warehousing, and building ETL pipelines.
• Proficiency in SQL and query optimisation for large datasets.
• Experience with scripting languages such as Python or KornShell.

Skills

• SQL
• ETL processes
• AWS ecosystem (EMR, Redshift, Glue, Athena, S3)
• Big Data technologies (Spark, Hive, Hadoop)
• Python or KornShell scripting
• Data modeling and warehousing concepts

Benefits

• Competitive industry‑leading salary package.
• Opportunity to work on massive, real‑world data sets.
• Exposure to cutting‑edge AWS services and big‑data tools.
• Collaboration with senior data scientists and applied researchers.
• Professional growth within a global technology leader.