Database Administration

Amazon Worldwide Advertising is one of Amazon's fastest growing and most profitable businesses. Partner Experience and Growth (PEG) organization leverages advanced analytics and experimentation to unlock value for our advertising partners and mutual customers, i.e. the advertisers.As a Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact.Key job responsibilitiesDesign, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning.Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.About the teamData Engineering team focuses on helping other partner business teams to be a more data driven business. We synthesize data from various data sources into actionable information, help the team to build the insights and take business decisions. We maintain partner data platform(Barnegat) and support end to end data engineering needs for our customers. Data engineering team customers include Analytics, Science, Finance, Partner Trust, Business Development, Product and other Advertisement teams. Our core services are managing Data platform, data pipelines to get data from various sources, create scalable and reusable datasets and provide single source of truth for business metrics. BASIC QUALIFICATIONS- 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 ...

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate. Key job responsibilities* Development of data collection processes and data management systems* Maintenance of data integrity (0% error rate)* Designing of queries, compiling of data, and generation of reports in MS Excel* Charting and graphing of data for reporting purposes* In depth research of defect trends* Data collection and entry as needed* Data mining and problem solving* Back up for Process Assistant dutiesBASIC QUALIFICATIONS- 2+ years of professional or military experience- Experience with Microsoft Office products and applications ...

Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, tool providers, authors, and entrepreneurs. Our ad solutions—including sponsored, display, video, and custom ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more.Key job responsibilitiesAds Sales and Partners Enablement team is looking for a talented and innovative data specialist with an aptitude for new data and AI technologies. The ideal candidate will work on artificial intelligence and machine learning technologies to enhance our sales processes, improve customer interactions, and drive revenue growth. Your deep expertise in the design, creation, and management of large and complex datasets. You should have strong experience at building scalable solutions to flow huge amounts of data from production systems into the data lake. You should be able to design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science teams.A day in the lifeYou will work closely with the Business Intelligence Engineers, Data Scientists, Product Managers, Software Development teams and other business stakeholders on many unique business problems and use creative problem solving to deliver actionable output in data gathering, transformation, ingestion and storage. You should be able to gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. As a DE, you will be regularly mentoring junior engineerings, developing technical your leadership, and contributing to the design and implementation of highly available, scalable, stable, secure, and cost-effective analytic solutions.About the teamSales Data Services team is part of Sales AI, a central data and science organization within Sales and Partners Enablement (SPE) that powers Ad Sales selling motions and workflows via a suite of AI/ML services. Sales AI’s mission is to equip Sales with the data- and science-backed intelligence they need (and when they need it) to improve their selling motions from routine practices to peak performance.BASIC QUALIFICATIONS- Bachelor's degree, or Master's degree- 3+ 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 ...

Amazon Worldwide Advertising is one of Amazon's fastest growing and most profitable businesses. Partner Experience and Growth (PEG) organization leverages advanced analytics and experimentation to unlock value for our advertising partners and mutual customers, i.e. the advertisers.As a Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact.Key job responsibilitiesDesign, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning.Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.About the teamData Engineering team focuses on helping other partner business teams to be a more data driven business. We synthesize data from various data sources into actionable information, help the team to build the insights and take business decisions. We maintain partner data platform(Barnegat) and support end to end data engineering needs for our customers. Data engineering team customers include Analytics, Science, Finance, Partner Trust, Business Development, Product and other Advertisement teams. Our core services are managing Data platform, data pipelines to get data from various sources, create scalable and reusable datasets and provide single source of truth for business metrics. BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, tool providers, authors, and entrepreneurs. Our ad solutions—including sponsored, display, video, and custom ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more.Key job responsibilitiesCandidates for this position should have strong engineering fundamentals as well as real-world experience. You will showcase diverse architectural approaches and design patterns in your technical design. Think big and stay informed about industry standards in Ad tech space. Communicate effectively across all leadership levels verbally and in writing. Lead deep technical discussions with senior engineers, collaborating to solve challenging problems. You will be able to quickly grasp new systems and provide valuable consultation.A day in the lifeYou will work closely with the Business Intelligence Engineers, Data Scientists, Product Managers, Software Development teams and other business stakeholders on many unique business problems and use creative problem solving to deliver actionable output in data gathering, transformation, ingestion and storage. You should be able to gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. As a DE, you will be regularly mentoring junior engineerings, developing technical your leadership, and contributing to the design and implementation of highly available, scalable, stable, secure, and cost-effective analytic solutions.About the teamSales AI is a central data and science organization within Sales and Partners Enablement (SPE) that powers Ad Sales selling motions and workflows via a suite of AI, ML, and data services. Sales AI’s mission is to equip Sales with the data- and science-backed intelligence they need to improve their selling motions from routine practices to peak performance. Our primary focus is building scalable, production-ready solutions in support of the entire Sales organization. BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL and at least one modern scripting or programming language, such as Python, Java or Scala ...

At Amazon, we are working to be the most Customer-centric company on earth. If you would like to help us build an excellent delivery experience, this is your chance to make history. The Worldwide Delivery Experience team continues to innovate with delivery speed initiatives for customers with the objective ensuring Amazon continues to own ‘fast’ in the minds of our customers.The Worldwide DEX Team is looking for an experienced Engineer. As a Engineer, you will need to review technical , develop and enhance systems and pipelines supporting process optimization in reporting, planning, and controlling activities in EU Engineering Services, as well as integrate in-house infrastructure with partner systems. You should be an expert in the architecture of warehousing solutions, using multiple platforms and tools. In addition, you should have strong analytical skills and excel in the , creation, management, and business use of large sets, combining raw information from different sources. Similarly, you will be responsible for designing and implementing scalable extract, transform, and load () processes to support the rapidly growing and dynamic business demand for , and use it to deliver the as a service, which will have an immediate influence on day-to-day business decision making. Moreover, you will create automated alarming and dashboards to monitor integrity. Finally yet importantly, you should have very good communication skills and ability to adjust communication to different groups of stakeholders, collaborating with architects, BI engineers, scientists, business analysts/managers, to evaluate business needs and objectives in order to set up the best management environment. Overall, you will be the subject matter expert for the structures and usage, while striving for efficiency by aligning systems with business goals.*** This position is based in our Bellevue office ***Core responsibilities may include: - Design, implement and support an analytical infrastructure providing ad-hoc access to large datasets and computing power - Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using and technologies - Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment. - Enjoy working closely with your peers in a group of very smart and talented engineers. - Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers - Explore and learn the latest technologies to provide new capabilities and increase efficiencyBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Looking for a leader in the team that takes Data Infrastructure and Analytical models of North America Reliability Maintenance Engineering team to the next generation. If you are a solid analytical thinker, metrics driven decision maker and interested in collecting, storing large volumes of data, building analytical models, willing to solve problems with solutions that will meet the growing worldwide needs then Reliability Maintenance Engineering is the team for you. We are looking for top notch Data Engineers to be part of our world class business analytics team.The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. He/she is an expert in data modeling, ETL design and business intelligence tools and passionately partners with the business stakeholders to identify strategic opportunities where improvements in data infrastructure has huge business impact. He/she is a self-starter, comfortable dealing with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team.A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets- Experience building large-scale, high-throughput, 24x7 data systems ...

We are looking for talented database engineers who are passionate about databases and data warehouses, and enthusiastic about applying bold new ideas to real-world problems. You should be forward-looking and aware of the latest database technology offerings (including both relational and NoSQL) and migration methodologies. As a Database Engineer, you will review new and existing transportation technology applications, identify and architect appropriate RDBMS database solutions (including PostgreSQL, MySQL), and work with Big Data and NoSQL-based cloud computing and storage technologies. You will be responsible for executing projects to deliver high-quality deliverables on time, defining development processes for continuous improvement, and driving technology direction while effectively leading the database engineering team.Key job responsibilitiesThis role requires an Engineer with 4+ years experience in RDBMS database solutions and combines both consulting and hands-on expertise. The position involves helping with new and existing database implementations, developing tools to facilitate database migration, identifying and architecting appropriate RDS-based storage technologies, executing projects to deliver high-quality deliverables on time, defining continuous improvement processes, driving technology direction, and effectively leading the database engineering team.You will work with multiple internal teams who are transitioning their storage between RDBMS and DynamoDB platforms. Using your deep technical expertise, strong relationship-building skills, and documentation abilities, you will create technical content, provide consultation to customers, and gather feedback to drive the AWS RDS support offering. As the voice of the customer, you will work closely with RDS product managers and engineering teams to help design and deliver new features and product improvements that address critical customer challenges.A day in the lifeA typical day on our team involves collaborating with other engineers to deploy new databases through our large automated systems while providing operational support for your newly deployed software. You will seek out innovative approaches to automate fixes for operational issues, leverage AWS services to solve design problems, and engage with other internal teams to integrate your applications with theirs.You'll be part of a world-class team in an inclusive environment that maintains the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale, and to gain top-notch experience in database storage technologiesBASIC QUALIFICATIONS- 6+ years as a DBA, Database Engineer, or similar role- 3+ years experience with relational databases including RDS (PostgreSQL, MySQL) and/or DynamoDB, NoSQL databases- 2+ years experience in database migrations and creation of objects in SQL and NoSQL technologies- 1+ years experience with Redshift- Proficiency in UNIX shell and SQL- Experience with at least one procedural language such as Python, Ruby, Java, or Perl ...