Nike
Senior Data Engineer
Nike, Atlanta, Georgia, United States, 30383
Rejoignez l'équipe NIKE, Inc.
Loin de se contenter d'équiper les plus grands athlètes mondiaux, NIKE, Inc. explore les potentiels, abolit les frontières et repousse les limites du possible. L'entreprise recherche des personnes capables d'évoluer, de réfléchir, de rêver et de créer. L'épanouissement de sa culture repose sur son ouverture à la diversité et sur sa façon d'encourager l'imagination. La marque a besoin de personnes talentueuses, de leaders et de visionnaires. Chez NIKE, Inc., chacun contribue, par ses compétences et sa passion, à jouer un match difficile en constante évolution.
ResponsabilitésDesign and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology. Serve on the Global Operations Team (GOT), to help design and create products to elevate human potential on a global scale. Build a smarter, more connected, and automated value chain. Work with a variety of teammates to build first-class solutions for NIKE technology and its business partners, working on development projects related to supply chain, commerce, consumer behavior and web analytics among others. Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes. Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing. Responsible for the evaluation of technical feasibility or risks and conveying that information to the team. Translate backlog items into engineering design and logical units of work. Profile and analyze data for the purpose of designing scalable solutions. Define and apply appropriate data acquisition and consumption strategies for given technical scenarios. Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem. Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns. Implement complex automated routines using workflow orchestration tools. Work with architecture, engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to; anticipate, identify, and solve issues concerning data management to improve data quality; build and incorporate automated unit tests and participating in integration testing efforts. Utilize and advance continuous integration and deployment frameworks. Troubleshoot data issues and performing root cause analysis. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.
QualificationsMust have a Master’s degree in Computer Science, Software Engineering, or Data Engineering and 2 years of experience in the job offered or in a Engineering-related occupation. Experience must include:
Python;
SQL;
Apache Spark;
PL/SQL;
ETL;
Jenkins;
Pyspark;
AWS;
Databases: Oracle, MySQL, Athena;
Versioning tool: GITHUB.
Apply at www.jobs.nike.com (Job# R-)
#LI-DNI
NIKE, Inc. est une entreprise en pleine croissance cherchant à intégrer à son équipe des personnes capables de se développer avec elle. Nike offre un généreux programme de rémunération globale, un environnement de travail décontracté, une culture variée et inclusive et une atmosphère dynamique propice au développement professionnel. Quels que soient le site ou le poste, les employés de Nike partagent tous la même mission stimulante : apporter inspiration et innovation aux athlètes* du monde entier.
NIKE, Inc. s'engage à embaucher un personnel diversifié. Les candidats qualifiés seront considérés sans tenir compte de leur origine, couleur de peau, religion, sexe, nationalité, âge, orientation sexuelle, identité de genre, expression de genre, statut de vétéran ou handicap.
#J-18808-Ljbffr
Loin de se contenter d'équiper les plus grands athlètes mondiaux, NIKE, Inc. explore les potentiels, abolit les frontières et repousse les limites du possible. L'entreprise recherche des personnes capables d'évoluer, de réfléchir, de rêver et de créer. L'épanouissement de sa culture repose sur son ouverture à la diversité et sur sa façon d'encourager l'imagination. La marque a besoin de personnes talentueuses, de leaders et de visionnaires. Chez NIKE, Inc., chacun contribue, par ses compétences et sa passion, à jouer un match difficile en constante évolution.
ResponsabilitésDesign and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology. Serve on the Global Operations Team (GOT), to help design and create products to elevate human potential on a global scale. Build a smarter, more connected, and automated value chain. Work with a variety of teammates to build first-class solutions for NIKE technology and its business partners, working on development projects related to supply chain, commerce, consumer behavior and web analytics among others. Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes. Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing. Responsible for the evaluation of technical feasibility or risks and conveying that information to the team. Translate backlog items into engineering design and logical units of work. Profile and analyze data for the purpose of designing scalable solutions. Define and apply appropriate data acquisition and consumption strategies for given technical scenarios. Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem. Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns. Implement complex automated routines using workflow orchestration tools. Work with architecture, engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to; anticipate, identify, and solve issues concerning data management to improve data quality; build and incorporate automated unit tests and participating in integration testing efforts. Utilize and advance continuous integration and deployment frameworks. Troubleshoot data issues and performing root cause analysis. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.
QualificationsMust have a Master’s degree in Computer Science, Software Engineering, or Data Engineering and 2 years of experience in the job offered or in a Engineering-related occupation. Experience must include:
Python;
SQL;
Apache Spark;
PL/SQL;
ETL;
Jenkins;
Pyspark;
AWS;
Databases: Oracle, MySQL, Athena;
Versioning tool: GITHUB.
Apply at www.jobs.nike.com (Job# R-)
#LI-DNI
NIKE, Inc. est une entreprise en pleine croissance cherchant à intégrer à son équipe des personnes capables de se développer avec elle. Nike offre un généreux programme de rémunération globale, un environnement de travail décontracté, une culture variée et inclusive et une atmosphère dynamique propice au développement professionnel. Quels que soient le site ou le poste, les employés de Nike partagent tous la même mission stimulante : apporter inspiration et innovation aux athlètes* du monde entier.
NIKE, Inc. s'engage à embaucher un personnel diversifié. Les candidats qualifiés seront considérés sans tenir compte de leur origine, couleur de peau, religion, sexe, nationalité, âge, orientation sexuelle, identité de genre, expression de genre, statut de vétéran ou handicap.
#J-18808-Ljbffr