Job Description
The ideal candidate will have strong experience working with Python, Databricks, and Kafka, contributing directly to ongoing data modernization efforts.
* Key Responsibilities include:
o Supporting FY26 initiatives focused on data-driven and personalized search experiences.
o Enhancing current search and relevance models, which are presently generic and not tailored to individual users.
o Performing data assimilation related to athlete journey insights and integrating this information into downstream applications.
o Building and optimizing data pipelines in collaboration with the broader Data Engineering team.
o Compiling, transforming, and preparing data for use across multiple business and technical functions.
Required Technical Skills
Strong hands-on experience with:
* Python, Databricks (minimum 2-3 years required), and Kafka.
* Solid understanding of data engineering best practices and pipeline development.