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About Company :
NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.
NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate and serve consumers more directly and personally. Our teams are innovative, diverse, multidisciplinary and collaborative, taking technology into the future and bringing the world with it.
Job Description :
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.
To support our data scientists, we are looking for a responsible, multi-skilled data engineer. While staying up to date with the most popular programming and deployment techniques in the industry, the data engineer will be in charge of using machine learning techniques to develop and maintain structures that enable data analysis. You should work with colleagues on different parts of this process to make sure your strategy fits the requirements of each project.
Responsibilities:
- 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
Requirements :
- Bachelor’s degree in computer science engineering
- 0-2 years of hands-on experience in data engineering field
- In depth big data tech stack knowledge
- Expertise in pyspark and SQL
- Expertise in databricks, snowflake, airflow
- Excellent written and verbal communication skills
