Design, develop, and maintain complex SAP BusinessObjects Web Intelligence reports and enterprise reporting solutions. Collaborate with business stakeholders and data teams to translate requirements into scalable, high-performing BI solutions.
Lead the architecture assessment and modernization of client data platforms, focusing on the transition to a scalable dbt framework within Snowflake. Define standards for data modeling, pipeline architecture, and governance while guiding engineering teams through technical workshops.
The role involves partnering with Sales Executives to drive technical evaluations and architect bespoke Alteryx solutions for enterprise clients. You will lead discovery sessions, create proof-of-concept workflows, and mentor junior consultants to accelerate client adoption.
Lead the design, development, and governance of enterprise BI solutions using the MicroStrategy platform. Collaborate with stakeholders and data engineering teams to deliver scalable, high-performing analytics and reporting environments.
Design, develop, and maintain scalable backend applications using Python and Django. Collaborate with cross-functional teams to deploy and support applications within cloud environments, specifically Microsoft Azure.
Design, develop, and maintain enterprise BI solutions using Power BI and MicroStrategy to transform complex data into actionable insights. Collaborate with stakeholders and data engineers to optimize semantic layers, dashboards, and reporting governance.
Lead the design, development, and governance of enterprise BI solutions using the MicroStrategy platform. Collaborate with stakeholders and data engineering teams to deliver scalable, high-performing analytics and reporting environments.
The Alteryx Specialist will design, develop, and maintain scalable analytics workflows using Alteryx Designer. They will also support and optimize Alteryx Server environments while collaborating with stakeholders to deliver data-driven solutions.
The Senior Data Engineer will manage the transition and modernization of client data platforms by developing ELT pipelines and implementing dbt-based transformation frameworks. They will also be responsible for monitoring production workflows, troubleshooting operational issues, and ensuring data quality through automated validation.
The Senior Data Engineer will focus on supporting the client's data platform modernization by handling pipeline migration, operational stabilization, and implementing a dbt-based transformation framework within Snowflake. Key tasks include developing and maintaining ELT pipelines using Python and Airflow, converting SQL to dbt models, and documenting procedures.
