Nike
Data Engineer – Remote Work Option
Job Description
WHO YOU’LL WORK WITH
You will be collaborating with the Engineering manager, the Product Manager, other Engineering team members and with a variety of dedicated Nike teammates. You will join a highly motivated team that will be a driving force in building Data and Analytic solutions for the Marketplace & Consumer Domains in Nike Technology.
WHO WE ARE LOOKING FOR
Nike has embraced big data technologies on cloud based data platforms to fuel data-driven decisions. We are looking for a Data Engineer to keep pace. As a Data Engineer, you will work with a variety of dedicated Nike teammates and be a driving force for building first-class solutions for Data and Analytics. The ideal candidate will have programming experience, very good data skills, be comfortable with ambiguity and will enjoy working in a fast-paced, dynamic environment.
WHAT YOU BRING
- Bachelor’s degree in Computer Science or other relevant fields of Study with 3+ Years of Relevant Experience
- 3+ years’ experience developing Data & Analytic solutions
- 1+ Years experience building data lake solutions using one or more of following: AWS, Databricks, DBSQL, EMR, S3, Hive & Spark
- Experience with relational SQL
- 1+ Years Experience with scripting languages such as Shell, Python
- Deep knowledge of Cloud based data platforms and architecture
- Has a strong problem solving and analytical mindset
- Strong verbal and written communication skills
- Able to quickly pick up new programming languages, technologies, and frameworks
- Experience with source control tools such as GitHub
- Experience with any of the Cloud computing platforms and Data Engineering
- Experience working in Agile/Scrum Methodology
- Has a passion for data solutions
WHAT YOU’LL WORK ON
- Build small, well-defined, reusable components of a larger process or framework to support analytics products with guidance from experienced peers
- Build well-defined components that support the implementation of product features in collaboration with business and Technology stakeholders
- Solve straightforward data management issues to improve data quality
- Clean, prepare and optimize data for ingestion and consumption
- Support the implementation of new data management projects and re-structure of the current data architecture
- Implement simple automated workflows and routines using workflow scheduling tools
- Understand and use current continuous integration, test-driven development and production deployment frameworks
- Participate in design, code, and test plan reviews to increase knowledge and application of best practices
- Analyze and profile data for designing components of a scalable solution
- Troubleshoot complex data issues and perform root cause analysis to resolve product issues
