A Senior 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.
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
5+ years of hands-on experience in data engineering field
In depth big data tech stack knowledge
Expertise in pyspark, SQL and data modelling
Expertise in databricks, snowflake, EMR, airflow
Pipeline design and architectural skillset
Knowledge on performance tuning of big data pipelines
Excellent written and verbal communication skills
Mentoring and guiding skills
As a senior data engineer, you'll be a key pillar of the data engineering team. You'll be driving the overall design of data pipelines and 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
Contribute towards the design and architecture of overall data landscape at Nike
Collaborate with lead and principal engineers to define and implement quality standards across data pipelines
Collaborate with engineering leadership to define and implement observability metrics across data pipelines