Senior Data Engineer, 3PX Private Pricing - Analytics & Insights

- 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
- Experience mentoring team members on best practices
- Knowledge of distributed systems as it pertains to data storage and computing
- 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

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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.

The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role will focus on Data Engineering, and Analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support.

As a Senior Data Engineer on this team, you will drive efficiency in data handling processes; build and maintain data pipelines and associated infrastructure; partner with business intelligence engineers, data scientists, and software development engineers on the data infrastructure for a broad range of downstream products and uses; implement data governance and data security practices; and develop other technical solutions that support the scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders (including the VP of Private Pricing), operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources.

The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects E2E, from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team’s BI solutions and any related systems or artifacts.

Key job responsibilities
- Own the design, development, and maintenance of scalable data solutions for ongoing metrics, reports, analyses, dashboards, and other assets that support the analytical and business needs of diverse stakeholders
- 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 maintain infrastructure for data pipelines and data lakes
- Write efficient and well-documented code for the ingestion, manipulation, analysis, and distribution of complex datasets
- Develop and implement engineering solutions that follow strict data security and data governance requirements
- 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 ambiguous business problem statements into infrastructure and engineering requirements, and execute against those requirements
- Identify data insights that drive high quality business decisions with a high degree of analytical and statistical rigor
- Troubleshoot and address operational quality issues on data pipelines and infrastructure

About the team
Diverse Experiences:
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture:
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth:
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance:
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.