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Strong Tier-1 brand, metro location, mid-level SRE title, and broad big-data skill requirements increase competition.
Specialized big-data SRE skillset reduces transferability across industries.
Explicit 7+ years requirement and mandatory big-data SRE technologies make shortlisting highly strict.
Manage and maintain large-scale distributed big data infrastructure, ensuring reliability, scalability, and security.
Lead incident response including root cause analysis and postmortems; design and implement automation for provisioning, scaling, upgrades, and patching clusters.
Drive system performance optimization, enforce SRE best practices, and collaborate across teams to integrate reliability into development processes.
7+ years experience managing distributed big data ecosystems.
Strong Linux skills including IP, Iptables, and IPsec.
Proficiency in scripting/programming languages such as Perl, Golang, or Python.
Hands-on experience with Hadoop stack components: HDFS, HBase, Airflow, YARN, Ranger, Kafka, Pinot.
Experienced in designing and reviewing scalable, reliable system architectures for big data environments.
Skilled with configuration management and deployment tools like Puppet, Salt, Chef, or Ansible, and SRE monitoring tools like ELK, Grafana, Prometheus.
Capable of independently setting technical direction and driving standardization across complex production systems.