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ELK Data Engineer @ Kyndryl

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 ELK Data Engineer

Job Description

Job Description:


As an ELK (Elastic, Logstash & Kibana) Data Engineer, you would be responsible for developing, implementing, and maintaining the ELK stack-based solutions for Kyndryl s clients. This role would be responsible to develop efficient and effective, data & log ingestion, processing, indexing, and visualization for monitoring, troubleshooting, and analysis purposes.


Key Responsibilities:

  • Configure Logstash to receive, filter, and transform logs from diverse sources (e.g., servers, applications, AppDynamics, Storage, Databases and so son) before sending them to Elasticsearch.
  • Configure ILM policies, Index templates etc.
  • Develop Logstash configuration files to parse, enrich, and filter log data from various input sources (e.g., APM tools, Database, Storage and so on)
  • Implement techniques like grok patterns, regular expressions, and plugins to handle complex log formats and structures.
  • Ensure efficient and reliable data ingestion by optimizing Logstash performance, handling high data volumes, and managing throughput.
  • Utilize Kibana to create visually appealing dashboards, reports, and custom visualizations.
  • Collaborate with business users to understand their data integration & visualization needs and translate them into technical solutions
  • Establishing the correlation within the data and develop visualizations to detect the root cause of the   issue.
  • Integration with ticketing tools such as Service Now
  • Hands on with ML and Watcher functionalities
  • Monitor Elasticsearch clusters for health, performance, and resource utilization
  • Create and maintain technical documentation, including system diagrams, deployment procedures, and troubleshooting guides

Education, Experience, and Certification Requirements:


BS or MS degree in Computer Science or a related technical field

5+ years overall IT Industry Experience.

3+ years of development experience with Elastic, Logstash and Kibana in designing, building, and maintaining log & data processing systems

3+ years of Python or Java development experience

4+ years of SQL experience (No-SQL experience is a plus)

4+ years of experience with schema design and dimensional data modelling Experience working with Machine Learning model is a plus Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus Elastic Certified Engineer certification is preferrable


Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Kyndryl
Location(s): Bengaluru

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Keyskills:   Elk Logstash Elastic Search

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