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Data Engineer II

Amazon· Business Intelligence
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HyderabadFull-timePosted yesterday

About the role

The Amazon ShipTech Analytics organization seeks a Data Engineer II to develop analytical tools and data processing solutions for the Amazon transportation business, focusing on AMXL and other delivery programs. The role requires building end-to-end data pipelines, working with large data volumes, and partnering with business teams to derive data-driven opportunities.

Responsibilities

  • Build end-to-end data pipelines to ingest and transform data from different types of data sources and systems; from traditional ETL pipelines to event data streams
  • Utilize data from disparate data sources to build meaningful datasets for analytics, reporting and ML use cases
  • Evaluate and implement various big-data technologies and solutions (e.g. Redshift, Hive/EMR, Spark, SNS, SQS, Kinesis) to optimize processing of extremely large datasets
  • Understand and analyze business processes, logical data models and relational database implementations
  • Write high performing and optimized SQL queries
  • Execute research projects, and generate practical results and recommendations
  • Design and implement automated data processing solutions and data quality controls

Qualifications

  • Bachelor's degree
  • 3+ years of data engineering experience
  • 3+ years of SQL experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
  • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
  • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Skills

Required:SQLData modelingETLPython/Java/Scala/NodeJS

Benefits

  • Not specified in the description
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

Amazon.com, Inc. or its affiliates

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