LE - Python, Agentic AI

0 years

0 Lacs

Posted:4 days ago| Platform: GlassDoor logo

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On-site

Job Type

Part Time

Job Description

Overview:
  • Should have a strong understanding of Kafka and the Elk (Elasticsearch, Logstash, Kibana) stack, including hands-on experience in implementing and maintaining these technologies
  • Strong background in scripting and programming languages like Python, Java is essential for building and maintaining Kafka and Elk based solutions.
  • In-depth knowledge and hands-on experience utilizing Log Shipper tools such as Fluentd, Fluent Bit, and Filebeat.
  • Candidate should have excellent troubleshooting and problem-solving skills to identify and resolve issues in the Data Pipeline and ensure smooth operation.
  • Investigate and resolve complex issues related to log data, log parsing, and ELK Stack performance
  • Collaborate with cross-functional teams to integrate data from various sources into the data processing and analytics infrastructure.
  • Stay updated with the latest trends and advancements in Kafka and ELK technologies and make recommendations for their implementation.
  • Implement custom log parsing and data enrichment techniques to extract valuable insights from log data
  • Take ownership of projects and ensure timely delivery of high-quality solutions.
  • Create and maintain detailed documentation on ELK Stack configurations, architecture, and best practices.
  • Assist in training and mentoring junior team members.
Responsibilities:
Responsible for designing, developing, automating, and maintaining software applications, participating in all phases of the software development lifecycle (SDLC).
Requirements:
  • Should have a strong understanding of Kafka and the Elk (Elasticsearch, Logstash, Kibana) stack, including hands-on experience in implementing and maintaining these technologies
  • Strong background in scripting and programming languages like Python, Java is essential for building and maintaining Kafka and Elk based solutions.
  • In-depth knowledge and hands-on experience utilizing Log Shipper tools such as Fluentd, Fluent Bit, and Filebeat.
  • Candidate should have excellent troubleshooting and problem-solving skills to identify and resolve issues in the Data Pipeline and ensure smooth operation.
  • Investigate and resolve complex issues related to log data, log parsing, and ELK Stack performance
  • Collaborate with cross-functional teams to integrate data from various sources into the data processing and analytics infrastructure.
  • Stay updated with the latest trends and advancements in Kafka and ELK technologies and make recommendations for their implementation.
  • Implement custom log parsing and data enrichment techniques to extract valuable insights from log data
  • Take ownership of projects and ensure timely delivery of high-quality solutions.
  • Create and maintain detailed documentation on ELK Stack configurations, architecture, and best practices.
  • Assist in training and mentoring junior team members.

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