In addition to evaluating each candidate's relative ability, as demonstrated by quality and breadth of experience, the following factors will provide the basis for competitively evaluating each candidate:
1. Five (5) or more years of experience in working with data architects, business analysts, project management teams, developers and program/business stakeholders to develop, test, support and maintain hybrid cloud and on-premises Business Intelligence (BI) solutions including building, implementing and supporting data marts/warehouses, ETLs/ELTs, data pipelines, using Microsoft Azure BI platform.
2. Five (5) or more years of experience in architecture, designing, creating and supporting on-premises and Azure SQL Server relational and dimensional databases.
3. Five (5) or more years of experience in designing and creating data warehouses and data marts in on-premises and Microsoft Azure cloud platforms.
4. Five (5) or more years of experience in dimensional and normalized relational data modeling.
5. Five (5) or more years of experience in development using SQL Server, SQL, T/SQL.
6. Five (5) or more years of experience in SQL performance tuning, analysis of execution plans, and database tuning.
7. Five (5) or more years of experience in loading data warehouses and data marts from multiple data sources including data lakes.
8. Five (5) or more years of experience in development and maintenance of data pipelines and ETL/ELT processes using SSIS, Azure Data Factory and Python.
9. Five (5) or more years of experience in troubleshooting issues related with data and BI solutions.
10. Three (3) or more years of experience developing and supporting reports and dashboards in SSRS, Power BI, and building Power BI data models
11. Experience in documentation of code, data models, and creating ERD and data flow diagrams.
12. Experience in loading data warehouses and data marts from OutSystems and Power Apps cloud application platforms.
13. Experience in configuring and managing Elasticsearch, and developing solutions in Elasticsearch.
14. Experience in developing analytical solutions using ArcGIS is a plus.