The core competencies required for this role include -
- Bachelor’s degree in computer science engineering or equivalent
- 8-12 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, any one of the cloud ( AWS , Azure , GCP )
- Excellent written and verbal communication skills.
As a lead data engineer, You will collaborate closely with Architects and principal engineers and the engineering managers 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
- Oversee the design and build components, frameworks and libraries at scale to support NIKE products
- Review design, code, test plans, and dataset implementation performed by other engineers in support of maintaining NIKE engineering standards
- Anticipate, identify, and troubleshoot complex issues and perform root cause analysis to proactively resolve products and operational issues
- manage the process of building continuous integration, test-driven development and production deployment frameworks
- 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