As an important aide to both the IT Infrastructure and Development teams, you will help support existing systems 24x7 and responsible for administering current Big Data environments. You will manage BigData Group environments and will work with teammates to maintain working solutions for our big data tech stack. To support product development following the product roadmap for product maintenance and enhancement such that the quality of software deliverables maintains excellent customer relationships and increases the customer base. You will report to the Engineering Manager, Data Platforms.

If you have the skills and we would love to talk to you!

What you'll do:

Implement, support, and administer Hadoop and AWS EMR environments.
Maintain Terraform and IaC for provisioning and managing AWS resources.
Provide CI/CD solutions and apply SDLC best practices.
Automate deployment and operations of Big Data technologies using DevOps tools.
Onboard Hadoop users and manage Kerberos, HDFS, Hive, HBase, and Yarn access.
Implement security best practices across HBase, HDFS, Kafka, Hive, and related components.
Tune Hadoop clusters, MapReduce, Spark workloads, and optimize EMR for performance and cost.
Monitor group health, logs, storage, and perform proactive capacity management.
Collaborate with infrastructure, network, DB, application, and BI teams to ensure platform reliability.
Support upgrades and patching for EMR, HBase, Spark, and other data platforms.
Troubleshoot system issues and analyze CPU, memory, OS, storage, and network performance.
Deploy and manage Hadoop clusters, configure HA, manage nodes, schedule jobs, and perform backups.
Support integrations across cloud/on‑prem networks and data platforms.
Configure and maintain tools like Sentry, Spark, Kafka, Oozie, Solr, MongoDB, DocumentDB, and ELK.
Integrate AD/LDAP with Cloudera, manage Sentry policies.

BigData DevOps Engineer