PpDescrizione dell’offerta di lavoro /p pbData Engineer,, GFS (Global Finance Solution) /b /p pAbout the Organization : Amazon is a US-based multinational electronic commerce company headquartered in Seattle, Washington. Amazon.com started as an online bookstore, but soon diversified into many other categories, with a vision to be earth's most customer-centric company to build a place where people can come to find and discover anything they might want to buy online. /p pAbout the role : Amazon's Global Finance Services (GFS) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. GFS is seeking a Business Intelligence Engineer to support our Amazon Music finance team. /p pAs a Data Engineer, You will be working on building and maintaining complex data pipelines, assemble large and complex datasets to generate business insights and to enable data driven decision making and support the rapidly growing and dynamic business demand for data. /p pYou will have an opportunity to collaborate and work with various teams of Business analysts, Managers, Business Intelligence, and Data Engineers to determine how best to design, implement and support solutions. You will be challenged and provided with tremendous growth opportunity in a customer facing, fast paced, agile environment. /p pbKey job responsibilities /b /p ul liDesign, implement and support an analytical data platform solutions for data driven decisions and insights /li liDesign data schema and operate internal data warehouses SQL / NOSQL database systems /li liWork on different data model designs, architecture, implementation, discussions and optimizations /li liInterface with other teams to extract, transform, and load data from a wide variety of data sources using AWS big data technologies like EMR, RedShift, Elastic Search etc. /li liWork on different AWS technologies such as S3, RedShift, Lambda, Glue, etc.. and Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency /li liWork on data lake platform and different components in the data lake such as Hadoop, Amazon S3 etc. /li liWork on SQL technologies on Hadoop such as Spark, Hive, Impala etc.. /li liHelp continually improve ongoing analysis processes, optimizing or simplifying self-service support for customers /li liMust possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment. /li liRecognize and adopt best practices in reporting and analysis : data integrity, test design, analysis, validation, and documentation. /li liEnjoy working closely with your peers in a group of talented engineers and gain knowledge. /li liBe enthusiastic about building deep domain knowledge on various Amazon’s business domains. /li liOwn the development and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. /li /ul pbBasic Qualifications /b /p ul li1+ years of data engineering experience /li liExperience with SQL /li liExperience with data modeling, warehousing and building ETL pipelines /li liExperience with one or more query language (e.g., SQL, PL / SQL, DDL, MDX, HiveQL, SparkSQL, Scala) /li liExperience with one or more scripting language (e.g., Python, KornShell) /li /ul pbPreferred Qualifications /b /p ul liExperience with big data technologies such as : Hadoop, Hive, Spark, EMR /li liExperience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. /li /ul pOur 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 https : / / amazon.jobs / content / en / how-we-hire / accommodations for more information. If the country / region you’re applying in isn’t listed, please contact your Recruiting Partner. /p pAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. /p h3Creare un avviso di lavoro per questa ricerca /h3 /p #J-18808-Ljbffr