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Amazon - Seattle, WA
posted 2 months ago
About the position
The Senior Data Engineer role within the AWS Global Deal Strategy and Programs (GDSP) organization focuses on building scalable analytical solutions for the Private Pricing Program. This position requires a blend of technical expertise, business acumen, and analytical skills to provide actionable insights that support data-driven decision-making. The role involves end-to-end project ownership, collaboration with business leaders, and the development of metrics and reporting tools to enhance the program's health and growth.
Responsibilities
- Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS services and internal tools
- Build and deliver high quality data sets to support data scientists and customer reporting needs
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
- Translate basic business problem statements into analysis requirements
- Use analytical and statistical rigor to answer business questions and drive business decisions
- Find and create ways to measure the customer experience to drive business outcomes
- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting
- Write queries and output efficiently, and have in-depth knowledge of the available in area of expertise
- Recognize and adopt best practices in reporting and analysis: integrity, design, analysis, validation, and documentation
- Troubleshoot operational quality issues
- Review and audit existing jobs and queries
- Recommending improvements to back-end sources for increased accuracy and simplicity
Requirements
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Bachelors Degree in relevant Technical Field
Nice-to-haves
- Experience operating large data warehouses
- Experience developing, deploying, and managing production data pipelines in AWS
- Experience deploying and managing machine learning models deployed into production
Benefits
- Flexible work hours and arrangements
- Mentorship and career growth opportunities
- Employee-led affinity groups fostering a culture of inclusion
- Work-life harmony initiatives
