Principle Data Engineer

Experience Preferred :

Five (5) + years of professional work experience specializing in Databricks with significant expertise in data engineering, data integration, data warehousing, and cloud computing, or a combination thereof, and 5 years of progressively responsible experience in data-related requirements, design, development, and deployment efforts :

Five (5) years of experience in Databricks

Five (5) years of experience in developing data pipelines using Python

Five (5) years of experience in Lakehouse Platform

Two (2) + years of experience in designing and developing Databricks medallion lakehouse architecture, applying data governance, and data quality best practices

One (1) year of experience in developing data models

One (1) year of experience in Azure Data Factory

One (1) year of experience in Managing Azure Resources

One (1) year of experience in automating Azure Data Resources using DataOps

This classification requires the possession of a Bachelor's in Computer Science, Data Engineering, or related field.