Software Engineer
$65 - $67 per hourCollabera
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Days Left: 3 days, 3 hours left Apply Position Details: Position: Software Engineer 4 (Hadoop / HPE MapR Engineer) Industry: Banking/Financial Services Job duration: 12 Months (Possible Extension) Location: Irving, TX / Charlotte, NC / Phoenix, AZ Pay: $65-67/hr Description: We are 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. Key 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 Required Qualifications: • 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 Pay: $65-67/hr The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually - as applicable. Job Requirement
- Hadoop
- HPE MapR
- MapR
- Spark
- Big Data
- Recruiter
- Phone
- Nilesh Giri
- View email address on click.appcast.io
Vacancy posted 2 days ago
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