Database Administration

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 ...

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 ...

Amazon Transportation Services (ATS) is looking for a talented Data Administrator who will own analytics and develop solutions to drive insights and optimization for the Carrier Services team. As a member of this team, you will have an opportunity to be a thought leader in Amazon Logistics and work with a group of talented program managers, product managers, research scientists, software developers, and business leaders to design the Amazon network of the future.As you further your career as a Data Administrator at Amazon, you will focus on improving corporate reporting frameworks and data visualization. You will analyze performance data, discover and solve real world problems and build metrics and business cases to improve decision making. We are focused on your success and want to build strong leaders within Amazon Transportation Services. You can expect to leverage your analytical skills and have ownership of the projects you work on. Key job responsibilities• Retrieving and analyzing data using SQL, Excel, Access and other data management systems• Monitoring existent metrics, analyzing data and partnering with internal teams to identify process and system improvement opportunities• Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions• Drive small to medium operational enhancement projects• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets and model data and metadata to support ad-hoc and pre-built reporting • Excellent problem-solving, task prioritization, follow-up, and customer service skills• Communicate complex analysis and insights to stakeholders and business leaders, both verbally and in writing BASIC QUALIFICATIONS- Bachelor's degree or equivalent- 1+ years of data analysis and formula creation in Microsoft Excel experience- Bachelor’s degree in Business, STEM, Operations, Finance, or related field- Experience in a business analyst, data analyst or statistical analysis role- Experience with Excel ...

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- 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 ...

The Rapid and Rural Logistics (R2L) org is seeking an exemplary Data Engineer with broad technical skills to develop, own and support pipelines that back business analytics, to build tools that facilitate orchestration, and to produce automation scripts that optimize infrastructure. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.This role is on a large analytical team that supports a wide range of businesses including sub same day, Rural super rural etc. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.We are looking for someone with preferred experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose and Lambda. Experience working independently on and completing end-to-end projects. Knowledge of professional software engineering and best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellenceKey job responsibilitiesMain responsibilities of this role include but are not limited to:- Manage and grow a database infrastructure- Develop automation solutions through programming languages- Support analytical researches and provide recommendations to business challenges- Use best practices for data modeling, ETL/ELT procedures, SQL, Redshift, and OLAP technologies to implement data structures.- Experience in at least one modern scripting or programming language, such as Python, Typescript, or Scala.- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)- Collect and convert functional and business requirements into solutions that are operable, scalable, and well-suited to the overall data- Determine best practices for creating data lineage from a range of data sources by analyzing source data systems. data sources.- Engage in all phases of the development life cycle, including design, implementation, testing, delivery, documentation, support, and maintenance.- Generate complete, reusable metadata and dataset documentation.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 ...