Observability Engineer
- Posted 2 months ago
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Job Description
Experience:- 3-8 years
Location:- Bangalore (WFO)
Mandatory skills: Pyspark, sql & Observability (Monitor/Monitoring)
Job Description:-
- Experience in implementing automated observability in 2-3 projects
- Python, PySpark
- Automation skills
- SQL
- Rest API
- Data mining skills
- Azure Databricks (good to have)
Note:- No Data Engineering skills for these roles. Should be good in data mining on any data platform using SQL or data frames.
More Info
Key Skills
About Company
Skills:
Yaml, Github, PowerShell, Prometheus, AWS CloudWatch, Json, Grafana, New Relic, Jenkins, Appdynamics, shell scripting, Dynatrace, Splunk, Rest Apis, Python, Azure DevOps, Open Telemetry, Elastic, Azure Monitor
Skills:
Dql, PowerShell, SQL Server, Windows, Linux, Dynatrace, Python, AWS, alerting systems, Salesforce ITSM integrations, monitoring engineering, Site Reliability Engineering, cloud-native observability frameworks
Skills:
Netflow, Tcp, PowerShell, Bash, Json, Sql, Solarwinds, Ansible, Qos, SNMP, Rest Apis, Icmp, Python, IPFIX, SWQL, sFlow
Skills:
VMware, Information Technology, Automation, Python, Consulting, Analytics
Skills:
Kibana, Networking, Prometheus, Grafana, Datadog, Shell, Docker, Elasticsearch, Python, AWS, Logstash, Bash, Elk Stack, New Relic, Appdynamics, Gcp, Dynatrace, Splunk, Azure, Kubernetes, System performance tuning, Distributed tracing, OpenTelemetry, Linux systems