Amazon

Data Engineer - AI/ML Products, AOP (Analytics Operations and Programs)

Amazon
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15 days ago
Bengaluru, India or Hyderābād, IndiaMid Level

Responsibilities

  • Design, develop, and maintain scalable data pipelines for AI/ML model development and production deployment.
  • Implement and maintain CI/CD pipelines for data and AI/ML solutions.
  • Collaborate with data scientists and team members to define data requirements and build efficient data processing solutions.
  • Create and manage data warehouses and data lakes with appropriate data governance and security measures.
  • Translate product manager and business stakeholder data needs into technical requirements.
  • Evaluate emerging data engineering technologies and propose improvements to infrastructure and processes.
  • Participate in code reviews and establish data engineering best practices.

Requirements

  • At least 3 years of data engineering experience.
  • Experience with data modeling, data warehousing, and ETL pipeline development.
  • Knowledge of at least two of Scala, Java, Python, C, C++, or Go.
  • Knowledge of AWS or equivalent cloud services.
  • Experience with version control systems and CI/CD pipeline implementation.
  • Preferred experience with non-relational databases or data stores, including object storage, document or key-value stores, graph databases, or column-family databases.
  • Preferred experience with big data technologies, data analytics, and training or deploying AI/ML systems for large-scale optimization.

Tech Stack

Categories

Data Engineering
Amazon

About Amazon

10,000+ employees

Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.

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