Data Engineer

Requirements:

• 4+ Years Microsoft BI Stack (SSIS, SSRS, SSAS)

• 4+ Years data engineering experience to include data analysis.

• 4+ years programming SQL objects (procedures, triggers, views, functions) in SQL Server. 

• Experience optimizing SQL queries.

• Advanced understanding of T-SQL, indexes, stored procedures, triggers, functions, views, etc. 

• Experience designing and implementing Data Warehouse.

• Working Knowledge of Azure/AWS Architecture, Data Lake

• Must be detail oriented. Must work under limited supervision.  Must demonstrate good

analytical skills as it relates to data identification and mapping and excellent oral communication

skills.

• Must be flexible and able to multi-task and be able to work within deadlines; must be team-

oriented, but also be able to work independently.

Preferred Skills:

• Experience working with an ETL tool (DBT preferred)

• Working Experience designing and developing Azure/AWS Data Factory Pipelines.

• Working understanding of Columnar MPP Cloud data warehouse using Snowflake.

• Working knowledge managing data in the Data Lake.

• Business analysis experience to analyze data to write code and drive solutions.

• Working knowledge of: Git, Azure DevOps, Agile, Jira and Confluence.

• Healthcare and/or Payment processing experience.