Data Engineer II

Profile

:text,ActualValueFromSolar:null},{QuestionName:Job Description,AnswerValue:u003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eu003cspan style=color: rgb(34, 34, 34);\u003eDriving success happens daily here.u0026nbsp; Tokyo Electron America, Inc. employees foster strong partnerships with TEL’s US customer base.u0026nbsp; We market a wide range of semiconductor production equipment (SPE) products and provide outstanding service and support to U.S. semiconductor device manufacturers. TELu0027s world-renowned products and technologies support diverse customer needs for the manufacture of increasingly sophisticated semiconductors.u003c/spanu003eu003c/fontu003eu003c/fontu003eu003cbru003eu0026nbsp;u003cbru003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eu003cspan style=color: rgb(34, 34, 34);\u003e*This internship is payrolled via payroll processing provider.u003c/spanu003eu003c/fontu003eu003c/fontu003eu003cbru003eu0026nbsp;u003cbru003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003ePosition Summary:u003c/fontu003eu003c/fontu003eu003cbru003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eData Engineer within the analytics team focused on the design, build and implementation of large scale data architecture and ETL processes to be used in analyses and software applications for chip manufacturing. The analytics team is responsible for delivering pipelines, analytical and data science applications that provide ROI for our clients and predictive maintenance that increases machine availability within client manufacturing facilities. In this position it is imperative that you have the willingness and desire to wear multiple hats and be interested in software development and analytical work. u003c/fontu003eu003c/fontu003eu003cbru003eu0026nbsp;u003cbru003eu003cstrongu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eResponsibilities:u003c/fontu003eu003c/fontu003eu003c/strongu003eu003cbru003eu0026nbsp;u003cul dir=ltr\u003eu003cliu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eYou will be designing, implementing and automating data pipelines from internal and external systems, transforming the data for the optimal needs of various systems.u003c/fontu003eu003c/fontu003eu003c/liu003eu003cliu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eDesign large-scale distributed data processing systems, data lakes and data warehouses for computational and storage efficiency.u0026nbsp; u003c/fontu003eu003c/fontu003eu003c/liu003eu003cliu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eSetting strategic goals for data engineering road map and products. u003c/fontu003eu003c/fontu003eu003c/liu003eu003cliu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eDesign and execute ETL jobs. u003c/fontu003eu003c/fontu003eu003c/liu003eu003cliu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eOwn the design, development and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. u003c/fontu003eu003c/fontu003eu003c/liu003eu003cliu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eDrive architectural plans and implementation for future data storage, ETL, reporting, and analytic solutions. u003c/fontu003eu003c/fontu003eu003c/liu003eu003cliu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eProvide code reviews, receive code reviews constructively, and take ownership of outcomes.u003c/fontu003eu003c/fontu003eu003c/liu003eu003cliu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eWork with team members and stakeholders to troubleshoot and optimize pipelines. u003c/fontu003eu003c/fontu003eu003c/liu003eu003cliu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eSet strategic and technical goals for the team to meet in conjunction with higher level objectives. u003c/fontu003eu003c/fontu003eu003c/liu003eu003c/ulu003eu0026nbsp;u003cbru003eu003cstrongu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eQualifications:u003c/fontu003eu003c/fontu003eu003c/strongu003eu003cbru003eu0026nbsp;u003cul dir=ltr\u003eu003cliu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eBachelor’s degree in computer science, management of information systems, mathematics, or a related field is required.u003c/fontu003eu003c/fontu003eu003c/liu003eu003cliu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eA minimum of 2 years hands-on working in the area of data science, data analytics, data engineering. u0026nbsp;u0026nbsp;Completion of Master’s degree meets qualifications in lieu of experience.u003c/fontu003eu003c/fontu003eu003c/liu003eu003cliu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eExtensive experience in multidimensional data modeling, such as star schemas, snowflakes, deformalized models, handling “slow-changing” dimensions/attributes. u003c/fontu003eu003c/fontu003eu003c/liu003eu003cliu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eA minimum of 3 years’ experience of coding proficiency in at least one modern programming language (Python, ruby, java, etc). u003c/fontu003eu003c/fontu003eu003c/liu003eu003cliu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eExperience in data architecture, databases (e.g., MySQL, Oracle, PostgresSQL), SQL. u003c/fontu003eu003c/fontu003eu003c/liu003eu003cliu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eKnowledge of software engineering practices u0026amp; best practices for the software development life cycle, including coding standards, code reviews, source control management, build process, testing, and operations. u003c/fontu003eu003c/fontu003eu003c/liu003eu003cliu003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eMust be legally authorized to work in the U.S without sponsorship.u003c/fontu003eu003c/fontu003eu003c/liu003eu003c/ulu003eu0026nbsp;u003cbru003eu003cfont style=font-size: 10pt;\u003eu003cfont style=font-family: arial,sans-serif; size: undefined;\u003eEqual Opportunity Employer/Minorities/Females/Disabled/Veteransu003c/fontu003eu003c/fontu003eu003cbru003eu0026nbsp;,VerityZone:jobdescription,QuestionType:textarea,ActualValueFromSolar:null},{QuestionName:State/Province,AnswerValue:OR,VerityZone:formtext3,QuestionType:single-select,ActualValueFromSolar:null},{QuestionName:City,AnswerValue:Hillsboro,VerityZone:formtext4,QuestionType:single-select,ActualValueFromSolar:null},{QuestionName:Subsidiary,AnswerValue:Tokyo Electron America, Inc. ,VerityZone:formtext5,QuestionType:single-select,ActualValueFromSolar:null}],GQId:1990,isGQResponsive:true,isActive:true,isSocialReferralJobRestricted:false,localeId:1033,AutoOptionalReqId:7048BR,Title:Data Engineer II,JobSiteId:5075,Link:****{Responsive_AdvancedCSS: /*#N#GUIDELINES#N##N#• Enter CSS here.#N##N#• Please take care not to compromise accessibility including color contrast.#N##N#• Please test all window widths so that all responsive break-points remain in tact.#N##N#• Please refer to attributes of the body tag to limit the scope of your rules to a single workflow, or else be sure to check each individual workflow.#N#*/#N##N#.pageHeaderContainer a {#N##T#outline:0;#N#}#N#.primaryButton {#N##T#color:#fff !important;#N#}#N#@media screen and (min-width:769px) {#N##T#div.pageHeaderContainer {#N##T##T#width:100%;#N##T##T#margin-bottom:30px;#N##T##T#border-bottom-style:solid;border-bottom-width:1px;border-color:#E2E2E2;#N##T#}#N##T#div.pageHeader {#N##T##T#border-bottom-style:solid;border-bottom-width:1px;border-color:#E2E2E2;#N##T#}#N##T##headerLinkContainer {#N##T##T#white-space:nowrap;#N##T##T#margin:0 auto 0px auto; 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