Role : Sr Data Engineering

Location : Bellevue , WA

Day one : onsite

Job descriptions for the Sr data engineering for DSnA support:

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)