Who You'll Work With
A data engineer will work in the Data and Artificial Intelligence organisation of Nike and will focus on building highly complex and performant data pipelines that'll drive Nike's data driven strategies for the future of sports.
Who We Are Looking For
In this role, we are looking for self-driven individuals who have deep technical knowledge in the big data domain. This role requires the individual to be an excellent problem solver who'll design and implement complex data pipelines which solve business problems of Nike.
The core competencies required for this role include -
As a data engineer you'll be a key pillar of the data engineering team. You will collaborate closely with other engineers to deliver key changes to data pipelines that drive Nike's data strategy.
On a day-to-day basis, you'll focus on -
A data engineer will work in the Data and Artificial Intelligence organisation of Nike and will focus on building highly complex and performant data pipelines that'll drive Nike's data driven strategies for the future of sports.
Who We Are Looking For
In this role, we are looking for self-driven individuals who have deep technical knowledge in the big data domain. This role requires the individual to be an excellent problem solver who'll design and implement complex data pipelines which solve business problems of Nike.
The core competencies required for this role include -
- Bachelor's degree in computer science engineering
- 0-2 years of hands-on experience in data engineering field
- Expertise SQL and Python
- Excellent written and verbal communication skills
- Experience with Spark and Databricks
As a data engineer you'll be a key pillar of the data engineering team. You will collaborate closely with other engineers to deliver key changes to data pipelines that drive Nike's data strategy.
On a day-to-day basis, you'll focus on -
- Building, enhancing, and troubleshooting complex data pipelines
- Collaborating with product managers, engineers, analysts to build, enhance and troubleshoot data pipelines
- Collaborate with senior, lead and principal engineers to define and implement quality standards across data pipelines
- Contribute towards the design and architecture of data pipelines
- Implement data quality and reliability measures across data pipelines
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