Java BigData Engineer

Key Skills

Apache Hive, Apache Kafka, AWS, Azure, Big Data Technology, GoLang, Google Cloud Platform (GCP), Java Programming, JavaScript, Python Programming, Scala Programming, SPARK Programming

Job Description

• Good understanding of Linux OS concepts, CPU performance, Load Avg, Network analysis, Memory utilization, JVM Garbage Collection strategies etc.
• Understanding concepts like Connection Pooling, Load balancers, max connections, rate limiting, traffic routing, network latency.
• Good understanding of Caching Technologies like Elastic cache, CDN/Edge Servers.
• Experience in container-based architecture.
• Experience in any one of scripting languages (shell, python etc.).

Essential functions

• Ability to analyze thread dumps, heap dumps, garbage collection and other related JVM components.
• Ability to solve complex production problems and debug code.
• Familiarity with microservices architecture and container orchestration with Kubernetes and any cloud platform (AWS/GCP/Azure).
• In-depth knowledge of services-oriented Architecture, restful web services, and API integration.
• Experience in ELK, Grafana, Splunk & Humio for monitoring application specific logs, visualize metrics, create dashboard, and alerts.

Qualifications

• 5+ years of proven experience in successfully delivering advanced solutions for a multi-tier, distributed web application.
• Bachelor’s with 5 years or Masters in Computer Science/Engineering with 3 years of work experience respectively.
• Minimum requirement for Information Technology Infrastructure Library Foundation Certificate, (ITIL) Intermediate or higher certification is a plus.

Would be a plus

• Experience in Core Java, GoLang, Python and JavaScript.
• Hands on in Hadoop Ecosystem (Kafka, Spark, Scala, Hive) is a plus.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office