Azure Data Engineer

Skills Required

Possess knowledge and technical expertise in standards and technologies to support complex business analysis, solution selection, systems design, and application integration - SQL and Relational Databases such as Oracle, SQL Server - Designing & developing SQL queries, stored procedures, views, debugging & tuning complex queries for optimal performance - UNIX shell scripts - Python - Azure Cloud - Azure Data Factory - Databricks – DataOps.

This classification must have a minimum of 

seven (7) years of applying Enterprise Architecture principles. 

At least five (5) years of that experience must be in a lead capacity. Q         

5 years of experience in Azure Data Factory 

5 years of experience in Databricks 

5 years of experience in Managing Azure Resources 

5 years of experience in automating Azure Data Resources using DataOps 

5 years of experience in developing data models and data pipelines using Python 

5 years of experience in Lakehouse Platform.

Education:

This classification requires the possession of a bachelor’s degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis