Jobs
Required Skills
Python
SQL
Data Engineering
ETL
Data Streaming
Data Modelling
CI/CD
DevOps
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 an 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 in 166 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 2-4 years of experience on working on large datasets and should demonstrate below skills:
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Academic background in Computer science (BE or B Tech) or equivalent work
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2-4 years of technology related experience
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Experience integrating with various Adobe toolset in the marketing space would be a plus – in particular, Adobe Experience Platform (AEP), Adobe Journey Optimizer (JO), Customer Journey Analytics (CJA)
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Hands-on experience in Data engineering developing batch and streaming pipeline
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Hands on experience on Python, SQL, Data Engineering, and experience with the following tools or similar: Databricks, Airflow, EMR, Hive, Spark
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Demonstrated strength in data modelling, ETL development, and data streaming
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Knowledge of data management fundamentals and data storage principles
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Experience in customizing product solutions
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Familiarity with the challenge of moving large files across a geographically dispersed network.
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Knowledge of different accelerated transfer methods and technologies
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Experience with implementing CI/CD and leading teams with DevOps responsibilities of deploying and supporting the software in production
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Experience using cloud services to build an integrated application in production (AWS - EC2, ECS, API gateway, Lambda).
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Takes ownership, follows established processes, and understands workflow dynamics to drive quicker, more effective solutions.
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Marketing technology experience is a plus
WHAT YOU’LL WORK ON
You will be responsible for driving, owning, and shipping all aspects of large, multi-functional efforts and feature areas. You will partner with engineering teams throughout feature development from architecture, design, implementation, and validation.
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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.
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Build complex data pipelines for real time data, Clickstream analysis and work to achieve high-quality data ingestion goals.
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The technology stack that you will be working on: Databricks, Spark, Python, Airflow, AWS, EMR.
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Innovating, architecting, designing, and implementing highly available, scalable systems, focusing on highly visible marketing initiatives
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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.
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About Nike
Reviews
3.7
10 reviews
Work Life Balance
3.5
Compensation
3.8
Culture
3.4
Career
3.6
Management
2.8
65%
Recommend to a Friend
Pros
Great coworkers and team environment
Good benefits and competitive compensation
Fun and energetic work environment
Cons
Poor management and leadership issues
Workplace politics and competitive environment
Inconsistent company direction and frequent changes
Salary Ranges
34 data points
Mid/L4
Senior/L5
Mid/L4 · Data Analyst
2 reports
$134,195
total / year
Base
$116,500
Stock
-
Bonus
-
$131,895
$136,359
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 25%
Neutral 50%
Negative 25%
Interview Process
1
Phone Screen
2
HireVue Video Interview
3
Final Round
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