The Job

Data Engineer II, DSP Analytics

Technology, Data & Digital · Data, AI & Analytics · Data Engineering

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In short

Amazon's DSP Analytics team seeks a Data Engineer II in Hyderabad to design and build scalable data infrastructure for Generative AI applications and automate data operations. This role involves developing real-time and batch pipelines, working with AWS technologies, and collaborating with cross-functional teams to drive data-driven decision-making.

Responsibilities

  • Lead and design complex data architectures, ensuring scalability, security, and alignment with business objectives.
  • Drive implementation of large-scale data pipelines and ETL processes using AWS technologies.
  • Identify and resolve system-wide data challenges, including performance bottlenecks and architectural deficiencies.
  • Establish data engineering best practices, including governance, security standards, and operational excellence.
  • Ensure data solutions are auditable, accessible, and maintainable across the organization.
  • Collaborate with cross-functional teams to deliver innovative data solutions.

Requirements

  • 3+ years of data engineering experience.
  • Experience with data modeling, warehousing, and building ETL pipelines.
  • Bachelor's degree in Computer Science, Engineering, or related fields.
  • Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust.
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
  • Demonstrated use of generative AI tools (e.g., agentic coding assistants, AI-powered IDEs) in a professional or project setting.

Desired Qualifications

  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
  • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases).
  • Experience designing or building AI agents or multi-agent solutions that automate engineering workflows.
  • Familiarity with agentic AI patterns including tool use, function calling, and multi-agent orchestration.

Benefits

  • Inclusive culture empowers Amazonians to deliver the best results for our customers.
  • Opportunity to dive deep into complex business and data problems.
  • Drive large-scale technical solutions.
  • Raise the bar for operational excellence.
  • Share ideas and learn from each other.
  • Use ideas to disrupt the status quo.
#Data Engineering#Analytics#ETL#AWS#Generative AI#Data Science
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Company

Amazon

Job Posted

2 days ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Hyderabad, India

Qualification

Bachelor

Applicants

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