Position: Hadoop Platform Engineer
Location: Irving, Texas (Hybrid - 3 days onsite, 2 days remote)
Duration: 24 months contract
Job ID: 176883
Job Overview: The client is seeking a skilled Hadoop / HPE MapR Engineer to design, build, operate, and optimize large-scale distributed data platforms. This role focuses on supporting and enhancing HPE MapR-based Hadoop ecosystems, ensuring high availability, performance, security, and reliability for enterprise data workloads. The ideal candidate has hands-on experience with MapR services, distributed systems, Linux, and big data processing frameworks, and is comfortable operating in a complex, production-grade environment.
Responsibilities: - Design, implement, and maintain large-scale distributed data platforms using HPE MapR and Hadoop technologies.
- Support and enhance MapR-based ecosystems to ensure system performance, scalability, and reliability.
- Monitor, troubleshoot, and resolve performance and stability issues in production environments.
- Ensure high availability and operational efficiency of enterprise-scale clusters.
- Consult on complex software engineering initiatives with broad organizational impact.
- Analyze and resolve large-scale, multi-faceted technical challenges requiring evaluation of multiple factors, including ambiguous or unprecedented scenarios.
- Collaborate strategically with client stakeholders and internal teams to deliver scalable and compliant solutions.
- Adhere to organizational policies, procedures, and compliance requirements while meeting deliverables.
Qualifications: - 3 to 5 years of experience in software engineering, big data, data platform, or infrastructure engineering, or equivalent experience.
- Strong hands-on experience with Hadoop distributions, specifically HPE MapR.
- Deep understanding of distributed systems, data storage, and cluster computing concepts.
- Proficiency in Linux/Unix system administration.
- Experience with at least one programming or scripting language: Python, Java, Scala, or Bash.
- Working knowledge of Apache Spark and batch/stream processing paradigms.
- Proven experience supporting production, enterprise-scale clusters with high availability requirements.
- Experience troubleshooting complex issues in large-scale environments.
- Familiarity with monitoring tools such as Grafana, Prometheus, Splunk, or similar.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
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Pay Range: $60/hr-$70/hr on W2
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
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