• Develop, maintain and optimize data pipelines (ETL/ELT) • Design and evolve modern data architectures • Process large volumes of data with Spark/PySpark • Ensure data quality, governance and security • Orchestrate pipelines using Airflow • Collaborate with data scientists, analysts and business stakeholders • Document solutions and share best practices • Perform troubleshooting, debugging and performance optimization

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Verint Reports Engineer, you will support the development and deployment of custom Verint and Five9 VO reporting solutions for our clients. You will work under the guidance of senior engineers to collect requirements, build and test SQL-based reports, and ensure successful implementation in production environments. - Assist in gathering and refining reporting requirements from stakeholders. - Develop, test, and maintain custom SQL report scripts based on Verint WFO data. - Develop, test, and maintain custom SQL report scripts based on Five9 VO data. - Collaborate with Sales, PS, and Support teams on report design and delivery. - Participate in maintaining a reusable library of custom reports and templates. - Troubleshoot and debug scripts with support from senior team members. Qualifications - 5-8 years of development experience. - Solid understanding of Verint WFO / Five9 VO products and data structure. - Proficiency in SQL and familiarity with query tuning. - Good written and verbal communication skills. - Willingness to work independently while accepting guidance. Requirements - Shows strong learning agility and willingness to take on new challenges. - Delivers quality code with support and mentorship. - Meets delivery timelines for small to mid-size report requests. Benefits - Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. - Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching. - Access to an innovative mental health support platform that offers personalized care and resources in areas such as therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. - Generous employee stock purchase plan. - Paid Time Off, Company paid holidays, paid volunteer hours, and 12 weeks paid parental leave.

• Lead the design, development, and deployment of scalable data engineering solutions, including ETL, data modeling, and data pipeline architecture for large and complex datasets. • Apply advanced analytical and statistical methods to build forecasting, economic modeling, and performance analysis that solve complex business problems. • Develop intuitive dashboards and visual analytics using Power BI, Excel (Power Query), SAS, and other BI tools to support cross-functional stakeholders. • Translate analytical insights into clear reports, metrics, and executive-ready narratives that guide strategic operations and decisions. • Perform in-depth project data analysis and identify patterns, trends, and opportunities to improve processes and reporting capabilities. • Create and maintain robust technical documentation and deliver data support to leadership, operational teams, and business partners. • Collaborate with IT and business stakeholders to ensure data quality, reliability, and governance.

• Design, develop, and maintain data pipelines using Azure Data Factory. • Develop data processing solutions with Azure Databricks, PySpark, and Spark SQL. • Structure and manage Data Lakes in Azure Blob Storage, applying layered architecture (raw, curated, trusted). • Model, optimize, and administer data in Azure SQL Database. • Develop and maintain analytical data models for consumption in Power BI. • Create and optimize datasets, semantic models, and DAX measures in Power BI. • Implement code versioning and CI/CD practices for pipelines and analytical artifacts. • Ensure data quality, reliability, and traceability (data quality, data lineage, and monitoring). • Collaborate with business, BI, and analytics teams to gather and translate technical requirements. • Support data architecture decisions, cost optimization (FinOps), and best practices in Azure. • Provide technical guidance to junior professionals.