<p><strong>Overview</strong></p><p>Our tech client in Brookhaven is looking to add a Service Desk Analyst with 2-4 years of experience for a 3-6 months contract-to-hire role. 4 days onsite/week with conversion salary up to $55k. </p><p><br></p><p><strong>Key Responsibilities</strong>:</p><ul><li>Provide technical support for Windows Desktop Operating Systems, including troubleshooting issues and assisting users.</li><li>Join Windows workstations to the domain and resolve connectivity problems.</li><li>Support the O365 Suite of applications</li><li>Configure and troubleshoot printers, ensuring reliable functionality for end-users.</li><li>Respond to service desk tickets promptly and maintain detailed documentation of solutions.</li><li>Collaborate with team members to improve IT processes and procedures.</li><li>Deliver high-quality customer service to clients and internal users.</li></ul>
<p>Robert Half is working with a client in the Atlanta area seeking a Senior Lead Data Engineer.</p><ul><li>Lead the design, development, and optimization of enterprise data platforms and data warehouse solutions</li><li>Drive the migration and modernization of legacy data environments to Snowflake</li><li>Architect and build scalable ETL/ELT pipelines that support analytics, reporting, and business intelligence initiatives</li><li>Design and maintain high-performance data models, data architectures, and data integration frameworks</li><li>Implement data quality, governance, monitoring, and performance optimization best practices</li><li>Serve as the technical lead for data engineering initiatives and help define the long-term data strategy and roadmap</li><li>Partner closely with business stakeholders, product teams, and technical leadership to translate requirements into scalable solutions</li><li>Utilize Airflow and/or Astronomer to orchestrate and manage complex data workflows</li><li>Develop solutions leveraging Python, SQL, Snowflake, and cloud-based data technologies</li><li>Mentor and guide other engineers while influencing technical direction and engineering standards</li><li>Evaluate and implement modern data engineering tools, frameworks, and best practices</li><li>Support the growth and scalability of the organization's data ecosystem while ensuring reliable, trusted, and accessible data</li></ul>