Data Engineer

Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineer to join our Information Technology team. This position will work on a team to accomplish tasks and projects that are instrumental to the company’s success. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you. 

• Utilize skills in development areas including data warehousing, business intelligence, and databases (Snowflake, ANSI SQL, SQL Server, T-SQL);
• Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS);
• Design, develop, enhance and support business intelligence systems primarily using Microsoft Power BI;
• Collect, analyze and document user requirements;
• Participate in software validation process through development, review, and/or execution of test plan/cases/scripts;
• Create software applications by following software development lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance;
• Communicate with team members regarding projects, development, tools, and procedures; and
• Provide end-user support including setup, installation, and maintenance for applications

• Bachelor's Degree in Computer Science, Data Science, or a related field;
• 3+ years of experience in Data Engineering;
• Knowledge of developing dimensional data models and awareness of the advantages and limitations of Star Schema and Snowflake schema designs;
• Solid ETL development, reporting knowledge based off intricate understanding of business process and measures;
• Knowledge of Snowflake cloud data warehouse, Fivetran data integration and dbt transformations is preferred;
• Knowledge of Python is preferred;
• Knowledge of REST API;
• Basic knowledge of SQL Server databases is required;
• Knowledge of C#, Azure development is a bonus; and
• Excellent analytical, written and oral communication skills.