
501 - 1000 employees
Founded 1978
🏛️ Government
📋 Compliance
☁️ SaaS
Government • Compliance • SaaS
Avenu Insights & Analytics is a firm dedicated to enhancing revenue recovery and compliance for state and local governments. The company provides a comprehensive suite of services and software solutions aimed at maximizing transparency and operational efficiency while helping taxpayers meet their obligations. With expertise in compliance auditing, digital transformation, and public records management, Avenu collaborates with government entities to identify new revenue opportunities and optimize citizen services.
🕒 April 1
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501 - 1000 employees
Founded 1978
🏛️ Government
📋 Compliance
☁️ SaaS
Government • Compliance • SaaS
Avenu Insights & Analytics is a firm dedicated to enhancing revenue recovery and compliance for state and local governments. The company provides a comprehensive suite of services and software solutions aimed at maximizing transparency and operational efficiency while helping taxpayers meet their obligations. With expertise in compliance auditing, digital transformation, and public records management, Avenu collaborates with government entities to identify new revenue opportunities and optimize citizen services.
• Develop PySpark Notebooks within Microsoft Fabric. • Build, monitor, and support data pipelines and Dataflow Gen2 processes. • Write and optimize SQL queries to support data transformations and analytics. • Manage environment variables and configuration settings across development environments. • Implement and maintain data quality rules, monitoring, and exception handling across bronze, silver, and gold data layers. • Maintain documentation of data pipelines, from ingest to gold layer. • Prepare semantic models for reporting. • Implement role-based access controls and data security models across Lakehouses and semantic models. • Collaborate with team members using Azure DevOps and/or GitHub for version control and deployment. • Validate data quality/accuracy and assist in troubleshooting data issues. • Follow established data engineering standards and best practices. • Perform other duties as assigned.
• 1–3 years of experience in data engineering, data analytics, business intelligence, or other data-related roles. • Exposure to Microsoft Fabric, Azure, and Lakehouses or similar cloud data platforms. • Experience with PySpark or Apache Spark concepts. • Understanding of CI/CD principles for data or software projects. • Experience in SaaS, GovTech, or technology-enabled services organizations.
• Competitive benefits and compensation package
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