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Your Role Responsibilities:
- Design and implement automated data discovery mechanisms across cloud and on-premise systems.
- Build and maintain ETL/ELT pipelines using SQL, Fabric, or equivalent platforms.
- Implement data quality controls and apply business rules for consistent outputs.
Role Essentials:
- Associate's degree or equivalent, with advanced SQL and data transformation expertise.
- 3+ years of experience with data pipelines/ETL tools such as Microsoft Fabric, ADF, or Databricks.
- Strong experience with APIs, data integration patterns, and scripting in Python or PowerShell.
What We'd Like To See:
- Good knowledge of Microsoft Server environments including Active Directory, networking, storage, and virtualization.
- Basic experience with process improvement and resolving complex technical issues in data engineering.
- Demonstrated ability to continuously improve data pipeline reliability, scalability, and performance.
About Hyland:
- Hyland is the pioneer of the Content Innovation Cloud, delivering enterprise intelligence and automation.
- Trusted by thousands of organizations worldwide, including many of the Fortune 100.
- Hyland has nearly 4,000 employees and supports an inclusive, employee-centric culture.
Hyland
Hyland is the pioneer of the Content Innovation Cloud, delivering enterprise intelligence and automation to organizations. Trusted by thousands of organizations including the Fortune 100, Hyland has nearly 4,000 employees and fosters an inclusive, employee-centric culture.