Data Engineer

Title: Data Engineer 4

Location: Remote, US

Duration: 1 Year contract

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, it’s about each person bringing skills and passion to a challenging and constantly evolving game.

• Design and building complex reusable components of larger process or framework to support analytics products
• Design and implement product features in collaboration with business and Technology stakeholders
• Anticipate, identify and solve issues concerning data management to improve data quality
• Clean, prepare and optimize data at scale for ingestion and consumption
• Support the implementation of new data management projects and re-structure of the current data architecture
• Implement automated workflows and routines using workflow scheduling tools
• Understand and use continuous integration, test-driven development and production deployment frameworks
• Participate in design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
• Analyze and profile data for the purpose of designing scalable solutions
• Troubleshoot straightforward data issues and perform root cause analysis to proactively resolve product issues

You will be working with diverse team of smart, intelligent and creative people. At Nike we embrace and celebrate unique talent and experience of our teammates.

In this role you’ll be reporting to an Engineering manager, you will work with Product Manager, other Engineering Team Members and with a variety of talented Nike teammates. You will be part of team that will be a driving force in building Data and Analytic solutions for Nike Technology.

• 6+ years’ experience developing Data & Analytic solutions
• Experience building data lake solutions leveraging one or more of following AWS, EMR, S3, Hive, Spark, Snowflake & Databricks
• Experience with relational SQL
• Experience with scripting languages such as Shell, Python
• Experience with source control tools such as Git Hub and related dev process