This job is closed
We regret to inform you that the job you were interested in has been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.
Amazon - San Francisco, 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. This position is responsible for building scalable analytical solutions that provide actionable insights to support data-driven decision-making. The role requires a blend of technical expertise, business acumen, and analytical skills to enhance the efficiency of data handling processes and develop metrics that drive the growth of the Private Pricing Program.
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 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, with in-depth knowledge of the available 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.
- Recommend 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
- Employee-led affinity groups fostering inclusion
- Work-life harmony initiatives
