Senior Data Engineer
| Company | Nike |
|---|---|
| Location | Beaverton, OR, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Senior |
Requirements
- Master’s degree in Computer Science or Computer Information Systems
- Two (2) years of experience in the job offered or in an engineering-related occupation
- Experience with Apache Spark
- Experience with Apache Hive
- Experience with Airflow
- Experience with AWS Elastic Cache
- Experience with AWS S3
- Experience with EMR
- Experience with Snowflake
- Experience with Python
- Experience with Databricks
- Experience with Teradata
- Experience with SQL
Responsibilities
- Design and build reusable components, frameworks and libraries at scale to support data engineering and analytics products
- Design and implement product features in collaboration with business and Technology stakeholders
- Identify and solve issues concerning data management to improve data quality
- Clean, prepare and optimize data for ingestion and consumption
- Collaborate on the implementation of new data management projects and re-structure of the current data architecture
- Implement automated workflows and routines using workflow scheduling tools
- Build continuous integration, test-driven development and production deployment frameworks
- Review design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
- Analyze and profile data for designing scalable solutions
- Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues
- Develop architecture and design patterns to process and store high volume data sets
- Participate in an Agile / Scrum methodology to deliver high-quality software releases through Sprints
Preferred Qualifications
-
No preferred qualifications provided.