The Job

Data Engineer II, DSP Analytics

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

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In short

The DSP Analytics team at Amazon is seeking a Data Engineer II to design and build next-generation data infrastructure for GenAI applications and automate data operations. This role involves leading complex data architectures, implementing large-scale data pipelines using AWS technologies, and collaborating with cross-functional teams to deliver innovative data solutions.

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

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)
#Data Engineering#Analytics#DSP#AWS#Generative AI#ETL#Data Pipelines#Data Architecture#Data Modeling#Business Intelligence
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Company

Amazon

Job Posted

2 weeks ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Hyderabad, India

Qualification

Bachelor

Applicants

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