Data Engineer

Mandatory Skills
A minimum of two (2) years of relevant experience in authoring and monitoring data pipelines.
The possession of a bachelor’s or advanced degree (master's or PhD) in computer science, engineering, information systems, math or technology-related field.
Additional qualifying experience may be substituted for the required education on a year-for-year basis. Successful completion of a
data engineering bootcamp plus an additional year of experience may be substituted for the degree requirement.
Two (2) years of Database Expertise: Strong proficiency in designing, developing, and optimizing databases for data visualization projects.
Two (2) years of Data Modeling: Solid understanding of data modeling techniques, normalization, and database design principles.
Two (2) years of ETL Processes: Experience in designing and implementing ETL (Extract, Transform, Load) processes to prepare data for visualization.

Desired Skills
Four (4) years of experience in SQL Proficiency: Expertise in writing complex SQL queries, stored procedures, and database functions for data retrieval and manipulation.
Two (2) years of experience writing SAS.
Three (3) years of experience designing, developing, or implementing Microsoft Business Intelligence solutions.
Three (3) years of experience using SQL Business Intelligence (BI) tools (SSAS, SSIS, SSRS).
Three (3) years of experience with GIS or spatial analysis.
Two (2) years of Domain-specific knowledge in healthcare.

Role
Design and create data marts and data cubes optimized for analytical queries.
Define dimensional models and star schemas for efficient data retrieval.
Implement aggregation strategies to support fast querying of large datasets.
Collaborate with business analysts to identify key metrics and dimensions for reporting and analysis.
Ensure data consistency and accuracy across data marts and cubes.