Jobs
Required Skills
Python
Snowflake
AWS
Oracle
DB2
SQL Server
SSIS
Apache Airflow
DataBricks
- Senior Data Engineer
- NIKE RETAIL SERVICES INC.
- Memphis, TN. Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology. Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes. Evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing. Translate product backlog items into engineering designs and logical units of work. 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. Anticipate, identify and tackle issues concerning data management to improve data quality. Build and incorporate automated unit tests and participate in integration testing efforts. Telecommuting is available only in AR, MS, and TN.
Must have a Master’s degree in Computer Science, Computer Engineering or Applied Computer Science and 2 years of experience in the job offered or a computer-related occupation. Experience must include:
-
Snowflake
-
AWS Native Services
-
Oracle
-
DB2
-
MS SQL Server
-
MS SSIS
-
Attunity
-
Apache Airflow
-
Python
-
Confluence
-
Tableau
-
GitHub
-
Data Bricks
-
Jenkins
Apply at www.
Nike.com/Careers (Job# R-70331)
We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.
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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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