Data Engineer, AWS GDSP A&I

Overview

Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs.

• 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.

• 3+ years of data engineering experience.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies.
• 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).

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit (Use the "Apply for this Job" box below). for more information.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers 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, and parental leave.

USA, NY, New York - $ - $ USD annually

USA, TX, Austin - $ - $ USD annually

USA, WA, Seattle - $ - $ USD annually

USA, NY, New York

Amazon Web Services, Inc.

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