Data Engineer II, JWO Data Services, Amazon

Data Engineer
Karnataka, India
April 13, 2026
Full Time

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Job Description

Amazon is hiring a Data Engineer II to design and develop ETL pipelines and AWS-based data systems for JWO Data Services in Bengaluru. The role supports Just Walk Out Technology, which creates dependable data solutions that operate with low latency by transforming business needs into technical requirements, while cross-team collaboration drives innovation and productivity.

Job ID: 3191238

Posted On: Not Specified

Work Site: Not Specified

Travel: Not Specified

Profession: Data Engineering

Discipline: Data Engineering

Role Type: Individual Contributor

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Main Duties

  • Creating ETL pipelines and distributed data systems which can be expanded to handle increased data volume. 
  • Technical deliverables which will meet the business and functional needs of the project. 
  • Develop working models and validation tests through their partnership with different functional departments. 
  • Improve data solutions by reducing latency and increasing scalability and maintaining system precision. 
  • The engineer provides guidance to junior staff members while participating in discussions about system design. 
  • Collaborate with other departments to handle uncertain situations while they work on intricate technical problems.

Basic Qualifications

  • Three years of experience working in data engineering and related fields. 
  • Possesses extensive expertise in data modeling and data warehousing concepts. 
  • Practical experience in developing and operating ETL pipelines. 
  • Demonstrates advanced skills in SQL while handling extensive datasets. 
  • Applicant has practical experience in creating and maintaining systems for distributed data processing.

Preferred Qualifications

  • AWS services which include Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda and IAM. 
  • Experience working with non-relational databases which include NoSQL document stores and key-value stores and graph databases. 
  • Knowledge about systems that process data in real time through their streaming capabilities. 
  • Data pipelines to operate with reduced latency while providing system scalability and dependable performance. 
  • Demonstrates skills to work with different teams while providing guidance to less experienced engineers.

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