Posted:1 month ago|
Platform:
Hybrid
Full Time
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.
V3 Staffing
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