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Amazon - Santa Clara, CA
posted 2 months ago
About the position
The Senior Data Engineer role within the AWS Global Deal Strategy and Programs (GDSP) organization focuses on the Private Pricing Program, emphasizing data engineering and analytics. This position is responsible for building scalable analytical solutions that provide actionable insights to support data-driven decision-making. The role requires strong technical skills, business acumen, and the ability to manage projects end-to-end, from customer engagement to the delivery of analytical tools.
Responsibilities
- Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc.
- 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 advancement resources
- Diversity and inclusion programs
- Work-life harmony initiatives
