3 Key-Value Stores Jobs

DESCRIPTION Does the prospect of dealing with massive volumes of data excite you Do you want to lead scalable data engineering solutions using AWS technologies Do you want to create the next-generation tools for intuitive data access Amazon's Finance Tech team needs a Data Engineer to shape the future of the Amazon finance data platform by working with stakeholders in North America, Asia and Europe. The team is committed to building the next generation big data platform that will be one of the world's largest finance data warehouses by volume to support Amazon's rapidly growing and dynamic businesses, and use it to deliver the BI applications which will have an immediate influence on day-to-day decision making. Members of the team will be challenged to innovate using the latest big data techniques. We are looking for a passionate data engineer to develop a robust, scalable data model and optimize the consumption of data sources required to ensure accurate and timely reporting for the Amazon businesses. You will share in the ownership of the technical vision and direction for advanced reporting and insight products. You will work with top-notch technical professionals developing complex systems at scale and with a focus on sustained operational excellence. We are looking for people who are motivated by thinking big, moving fast, and exploring business insights. If you love to implement solutions to hard problems while working hard, having fun, and making history, this may be the opportunity for you. Key job responsibilities Design, implement, and support a platform providing secured access to large datasets. Interface with tax, finance and accounting customers, gathering requirements and delivering complete BI solutions. Collaborate with Finance Analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Model data and metadata to support ad-hoc and pre-built reporting. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Tune application and query performance using profiling tools and SQL. Analyze and solve problems at their root, stepping back to understand the broader context. Learn and understand a broad range of Amazon's data resources and know when, how, and which to use and which not to use. Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets. Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment. BASIC QUALIFICATIONS - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

DESCRIPTION Amazon, Earth's most customer-centric company, offers low prices, vast selection, and convenience through its world-class e-commerce platform. The Competitive Pricing team ensures customer trust through optimal pricing across all Amazon marketplaces. Within this organization, our Data Engineering team, part of the Pricing Big Data group, builds and maintains the global pricing data platform. We enable price competitiveness by processing data from multiple sources, creating actionable pricing dashboards, providing deep-dive analytics capabilities, and driving operational efficiency. As a Data Engineer, you will collaborate with technical and business teams to develop real-time data processing solutions. You will lead the architecture, design, and development of the pricing data platform using AWS technologies and modern software development principles. Your responsibilities will include architecting and implementing automated Business Intelligence solutions, designing scalable big data and analytical capabilities, and creating actionable metrics and reports for engineers, analysts, and stakeholders. In this role, you will partner with business leaders to drive strategy and prioritize projects. You'll develop and review business cases, and lead technical implementation from design to release. Additionally, you will provide technical leadership and mentoring to the data engineering team. This position offers an opportunity to make a significant impact on Amazon's pricing strategies and contribute to the company's continued growth and evolution in the e-commerce space. Key job responsibilities - Design, implement, and maintain data infrastructure for enterprise-wide analytics - Extract, transform, and load data from multiple sources using SQL and AWS big data technologies - Build comprehensive domain knowledge of Amazon's business operations and metrics - Write clear, concise documentation and communicate effectively with stakeholders across teams - Deliver results independently while meeting deadlines - Collaborate with engineering teams to solve complex data challenges - Automate reporting processes and develop self-service analytics tools for customers - Research and implement new AWS technologies to enhance system capabilities BASIC QUALIFICATIONS - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Bachelor's degree Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

DESCRIPTION How often have you had an opportunity to be an early member of a team that is tasked with solving a huge customer need through disruptive and innovative technology Amazon Stores FinTech Team is seeking a Data Engineer to design and build a flagship multi-year project to inject automated planning and predictive forecasting, and help shape an end UI, built on the AWS Data Lake. We are the tech team that builds and supports Worldwide Amazon Stores - one of the fastest growing, largest and most complex Supply Chains in the world. This position requires a high level of technical expertise with data engineering concepts. Key job responsibilities . Expertise and experience in building and scaling Finance Planning Applications . Deliver on data architecture projects and implementation of next generation financial solutions . Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc . Build and deliver high quality data architecture and pipelines to support customer reporting needs . Interface with other technology teams to extract, transform, and load data from a wide variety of data sources . Continually improve ongoing data extraction, cleansing, validation, transformation and ingestion processes, automating or simplifying self-service support for customers . Collaborate with business users, development teams, and operation engineering teams to tackle business requirements and deliver against high operational standards of system availability and reliability . Dive deep to resolve problems at their root, looking for failure patterns and suggesting fixes . Prepare run books, methods of procedures, tutorials, training videos on best practices for the team . Build monitoring dashboards and creation of critical alarms for the system . Build and enhance software to extend system, application, or tool functionality to improve business processes and meet end user needs while working within the overall system architecture . Build automated unit test and regression test framework that can be leveraged across multiple data systems . Build data reconciliation framework and tools that can be leveraged across multiple data systems . Diagnose and resolve operational issues, perform detailed root cause analysis, respond to suggestions for enhancements . Identify process improvement opportunities to drive innovation . Rotational on-call availability for critical systems support BASIC QUALIFICATIONS - 3+ years of data engineering experience - 3+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - 5+ years of experience working in Financial Planning & Reporting domain PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - 3+ years experience in designing and building data integration with planning technologies such as IBM Cognos Planning Analytics/TM1 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.