Splunk Engnieer

Role: Splunk Engineer/Developer Location: Charlotte, NC Hybrid Job Type: Contract Job Description: • We are looking for experience Enterprise Observability Engineer, who would leverage powerfully insightful data to inform our systems and solutions, and we’re seeking an experienced pipeline-centric data engineer to put it to good use in building out ETL and Data Operations framework (Data Preparation / Normalization and Ontological processes). Technical Skills: • Five or more years of experience with Python, SQL, and data visualization/exploration tools • Full stack observability lead with Splunk (preferred) / Datadog, infra monitoring, App onboarding and APM experience • Proficiency in observability tools: They are familiar with tools for logging, metrics, and tracing, such as ELK Stack, Splunk and distributed tracing systems. • Familiarity with OOB dashboards and templates creation. Trying to integrate ITSI to correlate event data for analytics. • Communication skills, especially for explaining technical concepts to nontechnical business leaders • General understanding of distributed systems: They need to understand the complexities of modern architectures, including microservices, cloud-native environments, and hybrid infrastructure. • Familiarity with the AWS ecosystem, specifically Redshift and RDS • Communication skills, especially for explaining technical concepts to nontechnical business leaders • Ability to work on a dynamic, research-oriented team that has concurrent projects • Experience in building or maintaining ETL processes • Experience in insurance domain