Posted:1 week ago|
Platform:
Work from Office
Full Time
About the Role We are seeking a proactive and technically strong Site Reliability Engineer (SRE) to ensure the stability, performance, and scalability of our Data Engineering Platform. You will work on cutting-edge technologies including Cloudera Hadoop, Spark, Airflow, NiFi, and Kubernetesensuring high availability and driving automation to support massive-scale data workloads, especially in the telecom domain. Key Responsibilities • Ensure platform uptime and application health as per SLOs/KPIs • Monitor infrastructure and applications using ELK, Prometheus, Zabbix, etc. • Debug and resolve complex production issues, performing root cause analysis • Automate routine tasks and implement self-healing systems • Design and maintain dashboards, alerts, and operational playbooks • Participate in incident management, problem resolution, and RCA documentation • Own and update SOPs for repeatable processes • Collaborate with L3 and Product teams for deeper issue resolution • Support and guide L1 operations team • Conduct periodic system maintenance and performance tuning • Respond to user data requests and ensure timely resolution • Address and mitigate security vulnerabilities and compliance issues
Hands-on with Spark, Hive, Cloudera Hadoop, Kafka, Ranger, Strong Linux fundamentals and scripting (Python, Shell), Experience with Apache NiFi, Airflow, Yarn, and Zookeeper, Proficient in monitoring and observability tools: ELK Stack, Prometheus, Loki, Working knowledge of Kubernetes, Docker, Jenkins CI/CD pipelines, Strong SQL skills (Oracle/Exadata preferred), Familiarity with DataHub, DataMesh, and security best practices is a plus
Softenger
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