Beaverton, OR, United States
March 17, 2023
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Work options: Remote
- Design and build reusable components, frameworks and libraries at scale 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
- Drive the implementation of new data management projects and re-structure of the current data architecture
- Implement complex automated workflows and routines using workflow scheduling tools
- Build continuous integration, test-driven development and production deployment frameworks
- Drive collaborative reviews of 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 complex data issues and perform root cause analysis to proactively resolve product and operational issues
- Mentor and develop other data engineers in adopting best practices
- Experience with the following
- SQL (Snowflake)
- Pyspark
- AWS Work
