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[Remote] Data Engineer, AWS GDSP A&I

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Note: The job is a remote job and is open to candidates in USA. Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon, leading in secure and scalable cloud services. The Data Engineer role within the Global Deal Strategy and Programs (GDSP) team focuses on developing and maintaining scalable data solutions to support analytical needs and drive business growth through data-driven insights.


Responsibilities

  • Design, develop, and maintain scalable data solutions for metrics, reports, analyses, and dashboards that support analytical and business needs
  • Collaborate with technology teams to extract, transform, and load data from diverse sources using AWS services and internal tools
  • Build and deliver high-quality datasets that support data science initiatives and customer reporting requirements
  • Automate and optimize reporting processes to enable self-service analytics for stakeholders
  • Translate business problem statements into technical analysis requirements
  • Apply analytical and statistical rigor to answer business questions and drive data-driven decisions
  • Develop measurement frameworks that quantify customer experience and drive business outcomes
  • Create queries and visualizations for ad-hoc requests, projects, and ongoing reporting needs
  • Write efficient, optimized queries with deep knowledge of data structures and query optimization techniques
  • Adopt best practices in reporting and analysis including data integrity, design, validation, and documentation
  • Troubleshoot operational data quality issues and audit existing data pipelines and queries
  • Recommend improvements to back-end data sources for increased accuracy and simplicity

Skills

  • 3+ years of data engineering experience
  • 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
  • 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
  • 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
  • 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
  • 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • 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)

Benefits

  • Sign-on payments and restricted stock units (RSUs)
  • Comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • Paid time off
  • Parental leave

Company Overview

  • Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. It was founded in 2002, and is headquartered in Seattle, Washington, USA, with a workforce of 10001+ employees. Its website is http://aws.amazon.com.

    • Company H1B Sponsorship

  • Amazon Web Services (AWS) has a track record of offering H1B sponsorships, with 7552 in 2026, 22803 in 2025, 21175 in 2024, 19057 in 2023, 24088 in 2022, 12233 in 2021, 14881 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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