Position : Principal - Data Engineer Location: Bellevue WA ( Hybrid) Rate - DOE
Job descriptions : We operate in an Azure + Databricks Lakehouse. We'll need a person with:
Azure experience ADF for orchestration, ADLS for storage, AzureDevOps for CI/CD Databricks experience all compute/ETL leverages Databricks and is programmed leveraging Spark (PySpark, SparkSQL) PowerShell experience this is our scripting language of choice SQL proficiency it's used everywhere (TSQL, PostgreSQL) Proficiency with parquet and delta formats Additionally they will need experience in: SDLC + CI/CD we follow a standard deployment process (dev, test, prod) that includes peer reviewed code. They need to be comfortable with standard DevOps practices. Should have a deep understanding of indexes and partitioning. Should be proficient optimizing code for performance (able to read a DAG, determine where CBO is using most resources) Should be proficient in writing code in a matter that it can run repeatedly and produce the same state (we have a custom SQL Deployment framework)
Numbers & Facts
Location
Bellevue, WA
Skills
Code Reviewsunmatched
Computer Programmingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Database Extract Transform and Load (ETL)unmatched
DevOpsunmatched
Microsoft Windows Azureunmatched
Performance Tuning/Optimizationunmatched
Product Testingunmatched
SQL (Structured Query Language)unmatched
Software Development Lifecycle (SDLC)unmatched
United States Department of Energy (DOE)unmatched
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