Education Minimum:

Four (4) year bachelor's degree from an accredited institution in computer science, information systems, data engineering, software engineering, mathematics, statistics, engineering, or a related technical field.

Preferred:

Certifications or formal training in Microsoft Fabric, Azure Data Engineer, Databricks, Spark, Snowflake, data governance, DevOps, data modeling, or cloud architecture. Job-related experience may be substituted for the required education on a year-for-year basis.

Experience Minimum:

Four (4) years of progressively responsible experience in data engineering, ETL/ELT development, analytics engineering, database development, BI engineering, software development, cloud data platform engineering, or related technical work.

Preferred:

Experience designing and operating lakehouse or warehouse platforms, medallion data flows, Spark/PySpark workloads, Data Factory or pipeline orchestration, metadata-driven frameworks, dimensional models, master data, and governed semantic-ready marts.

Preferred:

Experience with Microsoft Fabric, Azure Data Lake Storage, OneLake, Delta Lake, Synapse, Databricks, Snowflake, Power BI semantic models, Git-based DevOps, and enterprise operational data. Other Requirements Ability to operate a variety of office equipment, including a personal computer, printers, copy machines, telephone. Ability to work irregular hours in evenings and on weekends for assignment completion and flexibility to change scheduling and report to work on short notice during emergency situations. Normal work hours shall be eight (8) hours between 7:00 am and 5:00 pm, Monday through Friday. 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