Data DevOps Engineer

Requirements:

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)