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As a Lead data engineer you will work with your team to build robust data pipelines that are highly efficient and scalable and optimized by following the standards defined by the Principal Engineers.
The core competencies required for this role include -
• Bachelor’s degree in computer science engineering or equivalent
• 5-8 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
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
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