Data Engineer, AWS GDSP A&I

AWS Global Deal Strategy And Programs (GDSP) Private Pricing Analytics And Insights (PPA&I) TeamAmazon 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. At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide transformative deals with industry leaders, and Private Pricing Programs & Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with latest technologies and global clients.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 Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders 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 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:Design, develop, and maintain scalable data solutions for metrics, reports, analyses, and dashboards that support analytical and business needsCollaborate with technology teams to extract, transform, and load data from diverse sources using AWS services and internal toolsBuild and deliver high-quality datasets that support data science initiatives and customer reporting requirementsAutomate and optimize reporting processes to enable self-service analytics for stakeholdersTranslate business problem statements into technical analysis requirementsApply analytical and statistical rigor to answer business questions and drive data-driven decisionsDevelop measurement frameworks that quantify customer experience and drive business outcomesCreate queries and visualizations for ad-hoc requests, projects, and ongoing reporting needsWrite efficient, optimized queries with deep knowledge of data structures and query optimization techniquesAdopt best practices in reporting and analysis including data integrity, design, validation, and documentationTroubleshoot operational data quality issues and audit existing data pipelines and queriesRecommend improvements to back-end data sources for increased accuracy and simplicityBasic Qualifications:3+ years of data engineering experience1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experienceExperience with data modeling, warehousing and building ETL pipelinesPreferred Qualifications:Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissionsExperience 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers.