Cloud and Big Data Tools Engineer

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Infrastructure Engineer/Cloud and Big Data Tools Engineer in Dallas TX or Charlotte, NC (Hybrid). Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today. Contract Duration: 12 Months+ with possible extensions W2 Only-Green Card, USC or H4EAD only Required Skills & Experience • Strong experience with big data platforms: MapR, Hortonworks, Cloudera Data Platform. • Hands-on expertise with data virtualization tools: Dremio, JupyterHub, AtScale. • Proficiency in deploying and managing tools in cloud and containerized environments (CDP, OCP). • Solid understanding of platform engineering, automation scripting, and DevOps practices. • Proven ability to troubleshoot complex issues and perform root cause analysis. • Experience in leading technical efforts and mentoring team members. • Dremio, Hadoop, Splunk and Grafana What You Will Be Doing • Administer and support tools on the Data private cloud , Including CDP, HWX, MapR. • Install, configure, and maintain data analytical and virtualization tools such as Dremio, JupyterHub and AtScale, across multiple clusters. • Develop proof-of-concept solutions leveraging CDP and OCP technologies. • Deploy tools and troubleshoot issues, perform root cause analysis, and remediate vulnerabilities. • Act as a technical subject matter expert, supporting programming staff during development, testing, and implementation phases. • Develop automation scripts for configuration and maintenance of data virtualization tools. • Lead complex platform design, coding, and testing efforts. • Drive advanced modeling, simulation, and analysis initiatives. • Maintain comprehensive documentation of Hadoop cluster configurations, processes, and procedures. • Generate reports on cluster usage, performance metrics, and capacity utilization. • Work closely with data engineers, data scientists, and other stakeholders to understand their requirements and provide necessary support. • Collaborate with IT infrastructure teams for integrating Dremio Tool, Hadoop clusters with existing systems and services. Preferred Qualifications: • Certifications in Cloudera, OpenShift, or related technologies. • Experience with enterprise-level data lake architectures and governance.