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.
Data Meaning
8 Remote Job Openings at Data Meaning
Design, develop, and maintain modern data pipelines and transformation workflows using dbt, Alteryx, and Python. Create and optimize business intelligence dashboards and reports using MicroStrategy to enable data-driven decision-making.
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.
