SRE Data Engineer

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 Kubernetes—ensuring 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 Technical Skillset • • 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