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Job Description

WHO YOU’LL WORK WITH


This role is part of the Nike’s Customer Data Platform within Marketing Technology. This team works on a variety of data points across Geos from Nike’ experiences, Data Science Models, Transaction Data, Permissions etc. which are stitched together to create a rich customer overview that provides the marketers a buffet of options to choose for a marketing activity or build a insight. This team is powered by Data Engineering, Customer Data platform software service and many home-grown tools based on cutting edge technologies.


WHO WE ARE LOOKING FOR


We are looking for a Software engineer, to be a part of Nike’s Marketing Technology organization. This position will play a critical role, in developing Nike’s Customer Data platform, which supports and promotes our products and provides a unique user experience to all our customers in166 countries globally. We are looking for someone to have a strong Data engineering and analytical background with a focus of delivering an omnichannel consumer experience through data driven marketing.


We are looking for a candidate with a strong 2-5 years of experience on working on large datasets and should demonstrate below skills:


  • Academic background in computer science (BE or B Tech) or equivalent work


  • 2-5 years of technology related experience


  • Hands-on experience in data engineering developing batch and streaming pipeline


  • Hands on experience on Python or Java, SQL, Data Engineering, experience with the following tools or similar: Data Bricks Airflow, EMR, Hive, Spark


  • Demonstrated strength in data modelling, ETL development, and data streaming


  • Experience in microservices architecture, domain driven design, and RESTful API’s


  • Knowledge of data management fundamentals and data storage principles


  • Experience in customizing product solutions


  • Familiarity with the challenge of moving large files across a geographically disperse network. Knowledge of different accelerated transfer methods and technologies


  • Experience with implementing CI/CD and leading teams with DevOps responsibilities of deploying and supporting the software in production


  • Experience using cloud services to build an integrated application in production (AWS - EC2, ECS, API gateway, Lambda).


  • Experience with implementing CI/CD and DevOps responsibilities of deploying and supporting the software in production


  • Marketing technology experience is a plus


  • Experience integrating with various Adobe toolset in the marketing space would be a plus– in particular Adobe Experience Platform (AEP), Journey Orchestration (JO), Customer Journey Analytics(CJA)


WHAT YOU’LL WORK ON


This role will be responsible for driving, owning, and shipping all aspects of large, multi-functional efforts feature areas and will partner with engineering teams throughout feature development from architecture, design, implementation, and validation.


  • Design, and build large datasets, and data pipelines to support building out our new Customer Data Platform (CDP) which will enable advanced segmentation in Customer data platform, that creates unique customer experience targeting, automation, and analytics.


  • Build complex data pipelines for real time data, click stream analysis and work to achieve high-quality data ingestion goals.


  • The technology stack that you will be working on: Data Bricks, Python, AirFlow, AWS, EMR, Databricks.


  • Innovating, architecting, designing, and implementing highly available, scalable systems, focusing on highly visible marketing initiatives 


  • Contributing ideas for new features and identifying technical areas for improvement proactively 


  • Collaborate with upstream and downstream technical teams to develop integrations to provide a seamless flow of our marketing assets from planning to delivery.  


Job Details

Job Location
India
Company Industry
Other Business Support Services
Company Type
Unspecified
Employment Type
Unspecified
Monthly Salary Range
Unspecified
Number of Vacancies
Unspecified
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